2018_all_paper.txt

Continuous Learning in a Hierarchical Multiscale Neural Network
Restricted Recurrent Neural Tensor Networks: Exploiting Word Frequency and Compositionality
Deep RNNs Encode Soft Hierarchical Syntax
Word Error Rate Estimation for Speech Recognition: e-WER
Towards Robust and Privacy-preserving Text Representations
HotFlip: White-Box Adversarial Examples for Text Classification
Domain Adapted Word Embeddings for Improved Sentiment Classification
Active learning for deep semantic parsing
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks
Unsupervised Semantic Frame Induction using Triclustering
Identification of Alias Links among Participants in Narratives
Named Entity Recognition With Parallel Recurrent Neural Networks
Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision
A Walk-based Model on Entity Graphs for Relation Extraction
Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction
Automatic Extraction of Commonsense LocatedNear Knowledge
Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering
Fully Statistical Neural Belief Tracking
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers
A Named Entity Recognition Shootout for German
A dataset for identifying actionable feedback in collaborative software development
SNAG: Spoken Narratives and Gaze Dataset
Analogical Reasoning on Chinese Morphological and Semantic Relations
Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions
Automatic Article Commenting: the Task and Dataset
Improved Evaluation Framework for Complex Plagiarism Detection
Global Encoding for Abstractive Summarization
A Language Model based Evaluator for Sentence Compression
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
Diachronic degradation of language models: Insights from social media
Task-oriented Dialogue System for Automatic Diagnosis
Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce
A Multi-task Approach to Learning Multilingual Representations
Characterizing Departures from Linearity in Word Translation
Filtering and Mining Parallel Data in a Joint Multilingual Space
Hybrid semi-Markov CRF for Neural Sequence Labeling
A Study of the Importance of External Knowledge in the Named Entity Recognition Task
Improving Topic Quality by Promoting Named Entities in Topic Modeling
Obligation and Prohibition Extraction Using Hierarchical RNNs
Paper Abstract Writing through Editing Mechanism
Conditional Generators of Words Definitions
CNN for Text-Based Multiple Choice Question Answering
Narrative Modeling with Memory Chains and Semantic Supervision
Injecting Relational Structural Representation in Neural Networks for Question Similarity
A Simple and Effective Approach to Coverage-Aware Neural Machine Translation
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation
Compositional Representation of Morphologically-Rich Input for Neural Machine Translation
Extreme Adaptation for Personalized Neural Machine Translation
Multi-representation ensembles and delayed SGD updates improve syntax-based NMT
Learning from Chunk-based Feedback in Neural Machine Translation
Bag-of-Words as Target for Neural Machine Translation
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation
Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations
Using pseudo-senses for improving the extraction of synonyms from word embeddings
Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora
Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
Sparse and Constrained Attention for Neural Machine Translation
Neural Hidden Markov Model for Machine Translation
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction
Orthographic Features for Bilingual Lexicon Induction
Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking
Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER
Neural Open Information Extraction
Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
Improving Slot Filling in Spoken Language Understanding with Joint Pointer and Attention
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
Modeling discourse cohesion for discourse parsing via memory network
SciDTB: Discourse Dependency TreeBank for Scientific Abstracts
Predicting accuracy on large datasets from smaller pilot data
The Influence of Context on Sentence Acceptability Judgements
Do Neural Network Cross-Modal Mappings Really Bridge Modalities?
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
Linear-time Constituency Parsing with RNNs and Dynamic Programming
Simpler but More Accurate Semantic Dependency Parsing
Simplified Abugidas
Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network
Automated essay scoring with string kernels and word embeddings
Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections
PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields
A Document Descriptor using Covariance of Word Vectors
Learning with Structured Representations for Negation Scope Extraction
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
Sense-Aware Neural Models for Pun Location in Texts
A Rank-Based Similarity Metric for Word Embeddings
Addressing Noise in Multidialectal Word Embeddings
GNEG: Graph-Based Negative Sampling for word2vec
Unsupervised Learning of Style-sensitive Word Vectors
Exploiting Document Knowledge for Aspect-level Sentiment Classification
Modeling Sentiment Association in Discourse for Humor Recognition
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining
Investigating Audio, Video, and Text Fusion Methods for End-to-End Automatic Personality Prediction
An Empirical Study of Building a Strong Baseline for Constituency Parsing
Parser Training with Heterogeneous Treebanks
Generalized chart constraints for efficient PCFG and TAG parsing
Exploring Semantic Properties of Sentence Embeddings
Scoring Lexical Entailment with a Supervised Directional Similarity Network
Extracting Commonsense Properties from Embeddings with Limited Human Guidance
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation
Automatic Estimation of Simultaneous Interpreter Performance
Polyglot Semantic Role Labeling
Learning Cross-lingual Distributed Logical Representations for Semantic Parsing
Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information
diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora
Examining Temporality in Document Classification
Personalized Language Model for Query Auto-Completion
Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations
Learning Simplifications for Specific Target Audiences
Split and Rephrase: Better Evaluation and Stronger Baselines
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum
On the Practical Computational Power of Finite Precision RNNs for Language Recognition
A Co-Matching Model for Multi-choice Reading Comprehension
Tackling the Story Ending Biases in The Story Cloze Test
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification
Pretraining Sentiment Classifiers with Unlabeled Dialog Data
Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection
Cross-Target Stance Classification with Self-Attention Networks
Know What You Don′t Know: Unanswerable Questions for SQuAD
`Lighter′ Can Still Be Dark: Modeling Comparative Color Descriptions
Probabilistic FastText for Multi-Sense Word Embeddings
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
Unsupervised Learning of Distributional Relation Vectors
Explicit Retrofitting of Distributional Word Vectors
Unsupervised Neural Machine Translation with Weight Sharing
Triangular Architecture for Rare Language Translation
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
Ultra-Fine Entity Typing
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking
Improving Knowledge Graph Embedding Using Simple Constraints
Towards Understanding the Geometry of Knowledge Graph Embeddings
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization
Simple and Effective Text Simplification Using Semantic and Neural Methods
Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words
Comprehensive Supersense Disambiguation of English Prepositions and Possessives
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature
Efficient Online Scalar Annotation with Bounded Support
Neural Argument Generation Augmented with Externally Retrieved Evidence
A Stylometric Inquiry into Hyperpartisan and Fake News
Retrieval of the Best Counterargument without Prior Topic Knowledge
LinkNBed: Multi-Graph Representation Learning with Entity Linkage
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
Graph-to-Sequence Learning using Gated Graph Neural Networks
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
Bridging CNNs, RNNs, and Weighted Finite-State Machines
Zero-shot Learning of Classifiers from Natural Language Quantification
Sentence-State LSTM for Text Representation
Universal Language Model Fine-tuning for Text Classification
Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement
Improving Text-to-SQL Evaluation Methodology
Semantic Parsing with Syntax- and Table-Aware SQL Generation
Multitask Parsing Across Semantic Representations
Character-Level Models versus Morphology in Semantic Role Labeling
AMR Parsing as Graph Prediction with Latent Alignment
Accurate SHRG-Based Semantic Parsing
Using Intermediate Representations to Solve Math Word Problems
Discourse Representation Structure Parsing
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
Event2Mind: Commonsense Inference on Events, Intents, and Reactions
Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis
Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism
Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection
Context-Aware Neural Model for Temporal Information Extraction
Temporal Event Knowledge Acquisition via Identifying Narratives
Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis
Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution
Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis
Constraining MGbank: Agreement, L-Selection and Supertagging in Minimalist Grammars
Not that much power: Linguistic alignment is influenced more by low-level linguistic features rather than social power
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation
Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays
Inherent Biases in Reference-based Evaluation for Grammatical Error Correction
The price of debiasing automatic metrics in natural language evalaution
Neural Document Summarization by Jointly Learning to Score and Select Sentences
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Modeling and Prediction of Online Product Review Helpfulness: A Survey
Mining Cross-Cultural Differences and Similarities in Social Media
Classification of Moral Foundations in Microblog Political Discourse
Coarse-to-Fine Decoding for Neural Semantic Parsing
Confidence Modeling for Neural Semantic Parsing
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing
On the Limitations of Unsupervised Bilingual Dictionary Induction
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable
Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
Simple and Effective Multi-Paragraph Reading Comprehension
Semantically Equivalent Adversarial Rules for Debugging NLP models
Style Transfer Through Back-Translation
Generating Fine-Grained Open Vocabulary Entity Type Descriptions
Hierarchical Neural Story Generation
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Bridging Languages through Images with Deep Partial Canonical Correlation Analysis
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search
What Action Causes This? Towards Naive Physical Action-Effect Prediction
Transformation Networks for Target-Oriented Sentiment Classification
Target-Sensitive Memory Networks for Aspect Sentiment Classification
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module
Reasoning with Sarcasm by Reading In-Between
Adversarial Contrastive Estimation
Adaptive Scaling for Sparse Detection in Information Extraction
Strong Baselines for Neural Semi-Supervised Learning under Domain Shift
Fluency Boost Learning and Inference for Neural Grammatical Error Correction
A Neural Architecture for Automated ICD Coding
Domain Adaptation with Adversarial Training and Graph Embeddings
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
Learning to Control the Specificity in Neural Response Generation
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network
MojiTalk: Generating Emotional Responses at Scale
Taylor′s law for Human Linguistic Sequences
A Framework for Representing Language Acquisition in a Population Setting
Prefix Lexicalization of Synchronous CFGs using Synchronous TAG
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Gaussian Mixture Latent Vector Grammars
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations
Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings
Word Embedding and WordNet Based Metaphor Identification and Interpretation
Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings
A Stochastic Decoder for Neural Machine Translation
Forest-Based Neural Machine Translation
Context-Aware Neural Machine Translation Learns Anaphora Resolution
Document Context Neural Machine Translation with Memory Networks
Which Melbourne? Augmenting Geocoding with Maps
Learning Prototypical Goal Activities for Locations
Guess Me if You Can: Acronym Disambiguation for Enterprises
A Multi-Axis Annotation Scheme for Event Temporal Relations
Exemplar Encoder-Decoder for Neural Conversation Generation
DialSQL: Dialogue Based Structured Query Generation
Conversations Gone Awry: Detecting Early Signs of Conversational Failure
Are BLEU and Meaning Representation in Opposition?
Automatic Metric Validation for Grammatical Error Correction
The Hitchhiker′s Guide to Testing Statistical Significance in Natural Language Processing
Distilling Knowledge for Search-based Structured Prediction
Stack-Pointer Networks for Dependency Parsing
Twitter Universal Dependency Parsing for African-American and Mainstream American English
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures
An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking
Global-Locally Self-Attentive Encoder for Dialogue State Tracking
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Tailored Sequence to Sequence Models to Different Conversation Scenarios
Knowledge Diffusion for Neural Dialogue Generation
Generating Informative Responses with Controlled Sentence Function
Sentiment Adaptive End-to-End Dialog Systems
Embedding Learning Through Multilingual Concept Induction
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data
Chinese NER Using Lattice LSTM
Nugget Proposal Networks for Chinese Event Detection
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation
Discovering Implicit Knowledge with Unary Relations
Improving Entity Linking by Modeling Latent Relations between Mentions
Dating Documents using Graph Convolution Networks
A Graph-to-Sequence Model for AMR-to-Text Generation
GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data
Learning to Write with Cooperative Discriminators
A Neural Approach to Pun Generation
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data
From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension
Stochastic Answer Networks for Machine Reading Comprehension
Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension
Efficient and Robust Question Answering from Minimal Context over Documents
Denoising Distantly Supervised Open-Domain Question Answering
Question Condensing Networks for Answer Selection in Community Question Answering
Towards Robust Neural Machine Translation
Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning
Accelerating Neural Transformer via an Average Attention Network
How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures
Weakly Supervised Semantic Parsing with Abstract Examples
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback
AMR dependency parsing with a typed semantic algebra
Sequence-to-sequence Models for Cache Transition Systems
Batch IS NOT Heavy: Learning Word Representations From All Samples
Backpropagating through Structured Argmax using a SPIGOT
Learning How to Actively Learn: A Deep Imitation Learning Approach
Training Classifiers with Natural Language Explanations
Did the Model Understand the Question?
Harvesting Paragraph-level Question-Answer Pairs from Wikipedia
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification
Language Generation via DAG Transduction
A Distributional and Orthographic Aggregation Model for English Derivational Morphology
Deep-speare: A joint neural model of poetic language, meter and rhyme
NeuralREG: An end-to-end approach to referring expression generation
Stock Movement Prediction from Tweets and Historical Prices
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks
Visual Attention Model for Name Tagging in Multimodal Social Media
Multimodal Named Entity Disambiguation for Noisy Social Media Posts
Semi-supervised User Geolocation via Graph Convolutional Networks
Document Modeling with External Attention for Sentence Extraction
Neural Models for Documents with Metadata
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
Large-Scale QA-SRL Parsing
Syntax for Semantic Role Labeling, To Be, Or Not To Be
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation
Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
Token-level and sequence-level loss smoothing for RNN language models
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers
To Attend or not to Attend: A Case Study on Syntactic Structures for Semantic Relatedness
What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
Zero-Shot Transfer Learning for Event Extraction
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Efficient Large-Scale Neural Domain Classification with Personalized Attention
Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
Efficient Low-rank Multimodal Fusion With Modality-Specific Factors
Discourse Coherence: Concurrent Explicit and Implicit Relations
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text
Joint Reasoning for Temporal and Causal Relations
Modeling Naive Psychology of Characters in Simple Commonsense Stories
A Deep Relevance Model for Zero-Shot Document Filtering
Disconnected Recurrent Neural Networks for Text Categorization
Joint Embedding of Words and Labels for Text Classification
Neural Sparse Topical Coding
Document Similarity for Texts of Varying Lengths via Hidden Topics
Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour
Multi-Input Attention for Unsupervised OCR Correction
Building Language Models for Text with Named Entities
hyperdoc2vec: Distributed Representations of Hypertext Documents
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval
Neural Natural Language Inference Models Enhanced with External Knowledge
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Subword-level Word Vector Representations for Korean
Incorporating Chinese Characters of Words for Lexical Sememe Prediction
SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment
End-to-End Reinforcement Learning for Automatic Taxonomy Induction
Incorporating Glosses into Neural Word Sense Disambiguation
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings
Cross-Domain Sentiment Classification with Target Domain Specific Information
Aspect Based Sentiment Analysis with Gated Convolutional Networks
A Helping Hand: Transfer Learning for Deep Sentiment Analysis
Cold-Start Aware User and Product Attention for Sentiment Classification
Modeling Deliberative Argumentation Strategies on Wikipedia
Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning
Learning Translations via Images with a Massively Multilingual Image Dataset
On the Automatic Generation of Medical Imaging Reports
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
Think Visually: Question Answering through Virtual Imagery
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game
A Purely End-to-End System for Multi-speaker Speech Recognition
A Structured Variational Autoencoder for Contextual Morphological Inflection
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
Neural Factor Graph Models for Cross-lingual Morphological Tagging
Global Transition-based Non-projective Dependency Parsing
Constituency Parsing with a Self-Attentive Encoder
Pre- and In-Parsing Models for Neural Empty Category Detection
Composing Finite State Transducers on GPUs
Supervised Treebank Conversion: Data and Approaches
Object-oriented Neural Programming (OONP) for Document Understanding
Finding syntax in human encephalography with beam search
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information
Let′s do it ``again″: A First Computational Approach to Detecting Adverbial Presupposition Triggers
Privacy-preserving Neural Representations of Text
Adversarial Removal of Demographic Attributes from Text Data
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
It′s going to be okay: Measuring Access to Support in Online Communities
Detecting Gang-Involved Escalation on Social Media Using Context
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Textual Analogy Parsing: What′s Shared and What′s Compared among Analogous Facts
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
Associative Multichannel Autoencoder for Multimodal Word Representation
Game-Based Video-Context Dialogue
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions
Multimodal Language Analysis with Recurrent Multistage Fusion
Temporally Grounding Natural Sentence in Video
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
Neural Segmental Hypergraphs for Overlapping Mention Recognition
Variational Sequential Labelers for Semi-Supervised Learning
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding
Unsupervised Multilingual Word Embeddings
CLUSE: Cross-Lingual Unsupervised Sense Embeddings
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Improving Cross-Lingual Word Embeddings by Meeting in the Middle
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse
On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks
Cross-lingual Lexical Sememe Prediction
Neural Cross-Lingual Named Entity Recognition with Minimal Resources
A Stable and Effective Learning Strategy for Trainable Greedy Decoding
Addressing Troublesome Words in Neural Machine Translation
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
XL-NBT: A Cross-lingual Neural Belief Tracking Framework
Contextual Parameter Generation for Universal Neural Machine Translation
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation
Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
Non-Adversarial Unsupervised Word Translation
Semi-Autoregressive Neural Machine Translation
Understanding Back-Translation at Scale
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings
Adaptive Multi-pass Decoder for Neural Machine Translation
Improving the Transformer Translation Model with Document-Level Context
MTNT: A Testbed for Machine Translation of Noisy Text
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension
Adaptive Document Retrieval for Deep Question Answering
Why is unsupervised alignment of English embeddings from different algorithms so hard?
Quantifying Context Overlap for Training Word Embeddings
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
Generalizing Word Embeddings using Bag of Subwords
Neural Metaphor Detection in Context
Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging
Unsupervised Bilingual Lexicon Induction via Latent Variable Models
Learning Unsupervised Word Translations Without Adversaries
Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning
Joint Learning for Emotion Classification and Emotion Cause Detection
Exploring Optimism and Pessimism in Twitter Using Deep Learning
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates
Increasing In-Class Similarity by Retrofitting Embeddings with Demographic Information
A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
Extending Neural Generative Conversational Model using External Knowledge Sources
Modeling Temporality of Human Intentions by Domain Adaptation
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation
A Dataset for Document Grounded Conversations
Out-of-domain Detection based on Generative Adversarial Network
Listening Comprehension over Argumentative Content
Using active learning to expand training data for implicit discourse relation recognition
Learning To Split and Rephrase From Wikipedia Edit History
BLEU is Not Suitable for the Evaluation of Text Simplification
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior
Training for Diversity in Image Paragraph Captioning
A Graph-theoretic Summary Evaluation for ROUGE
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation
Evaluating Multiple System Summary Lengths: A Case Study
Neural Latent Extractive Document Summarization
On the Abstractiveness of Neural Document Summarization
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning
Identifying Well-formed Natural Language Questions
Self-Governing Neural Networks for On-Device Short Text Classification
HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization
A Hierarchical Neural Attention-based Text Classifier
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier
Coherence-Aware Neural Topic Modeling
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models
Topic Intrusion for Automatic Topic Model Evaluation
Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web Documents
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
Decipherment of Substitution Ciphers with Neural Language Models
Rapid Adaptation of Neural Machine Translation to New Languages
Compact Personalized Models for Neural Machine Translation
Self-Governing Neural Networks for On-Device Short Text Classification
Supervised Domain Enablement Attention for Personalized Domain Classification
A Deep Neural Network Sentence Level Classification Method with Context Information
Towards Dynamic Computation Graphs via Sparse Latent Structure
Convolutional Neural Networks with Recurrent Neural Filters
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
Retrieval-Based Neural Code Generation
SQL-to-Text Generation with Graph-to-Sequence Model
Generating Syntactic Paraphrases
Neural-Davidsonian Semantic Proto-role Labeling
Conversational Decision-Making Model for Predicting the King′s Decision in the Annals of the Joseon Dynasty
Toward Fast and Accurate Neural Discourse Segmentation
A Dataset for Telling the Stories of Social Media Videos
Cascaded Mutual Modulation for Visual Reasoning
How agents see things: On visual representations in an emergent language game
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
Put It Back: Entity Typing with Language Model Enhancement
Event Detection with Neural Networks: A Rigorous Empirical Evaluation
PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages
A Neural Transition-based Model for Nested Mention Recognition
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction
Effective Use of Context in Noisy Entity Linking
Exploiting Contextual Information via Dynamic Memory Network for Event Detection
Do explanations make VQA models more predictable to a human?
Facts That Matter
Entity Tracking Improves Cloze-style Reading Comprehension
Adversarial Domain Adaptation for Duplicate Question Detection
Translating a Math Word Problem to a Expression Tree
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection
A dataset and baselines for sequential open-domain question answering
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network
Learning Sentiment Memories for Sentiment Modification without Parallel Data
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks
Representing Social Media Users for Sarcasm Detection
Syntactical Analysis of the Weaknesses of Sentiment Analyzers
Is Nike female? Exploring the role of sound symbolism in predicting brand name gender
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging
Harnessing Popularity in Social Media for Extractive Summarization of Online Conversations
Identifying Locus of Control in Social Media Language
Somm: Into the Model
Fine-Grained Emotion Detection in Health-Related Online Posts
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
Large Margin Neural Language Model
Targeted Syntactic Evaluation of Language Models
Rational Recurrences
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Automatic Event Salience Identification
Temporal Information Extraction by Predicting Relative Time-lines
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms
Valency-Augmented Dependency Parsing
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections
Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing
Constituent Parsing as Sequence Labeling
Synthetic Data Made to Order: The Case of Parsing
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions
Learning a Policy for Opportunistic Active Learning
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes
TVQA: Localized, Compositional Video Question Answering
Localizing Moments in Video with Temporal Language
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations
Streaming word similarity mining on the cheap
Memory, Show the Way: Memory Based Few Shot Word Representation Learning
Disambiguated skip-gram model
Picking Apart Story Salads
Dynamic Meta-Embeddings for Improved Sentence Representations
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation
Dissecting Contextual Word Embeddings: Architecture and Representation
Preposition Sense Disambiguation and Representation
Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources
Neural Multitask Learning for Simile Recognition
Structured Alignment Networks for Matching Sentences
Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference
Convolutional Interaction Network for Natural Language Inference
Lessons from Natural Language Inference in the Clinical Domain
Question Generation from SQL Queries Improves Neural Semantic Parsing
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing
A Span Selection Model for Semantic Role Labeling
Mapping Language to Code in Programmatic Context
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task
Cross-lingual Decompositional Semantic Parsing
Learning to Learn Semantic Parsers from Natural Language Supervision
DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers
What It Takes to Achieve 100% Condition Accuracy on WikiSQL
Better Transition-Based AMR Parsing with a Refined Search Space
Heuristically Informed Unsupervised Idiom Usage Recognition
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research
Predicting Semantic Relations using Global Graph Properties
Learning Scalar Adjective Intensity from Paraphrases
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling
Don′t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Improving Abstraction in Text Summarization
Content Selection in Deep Learning Models of Summarization
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment
Learning Context-Sensitive Convolutional Filters for Text Processing
Deep Relevance Ranking Using Enhanced Document-Query Interactions
Learning Neural Representation for CLIR with Adversarial Framework
AD3: Attentive Deep Document Dater
Gromov-Wasserstein Alignment of Word Embedding Spaces
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
Deriving Machine Attention from Human Rationales
Semi-Supervised Sequence Modeling with Cross-View Training
A Probabilistic Annotation Model for Crowdsourcing Coreference
A Deterministic Algorithm for Bridging Anaphora Resolution
A Knowledge Hunting Framework for Common Sense Reasoning
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Differentiating Concepts and Instances for Knowledge Graph Embedding
One-Shot Relational Learning for Knowledge Graphs
Regular Expression Guided Entity Mention Mining from Noisy Web Data
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
Neural Adaptation Layers for Cross-domain Named Entity Recognition
Entity Linking within a Social Media Platform: A Case Study on Yelp
Annotation of a Large Clinical Entity Corpus
Visual Supervision in Bootstrapped Information Extraction
Learning Named Entity Tagger using Domain-Specific Dictionary
Zero-Shot Open Entity Typing as Type-Compatible Grounding
Attention-Guided Answer Distillation for Machine Reading Comprehension
Interpretation of Natural Language Rules in Conversational Machine Reading
A State-transition Framework to Answer Complex Questions over Knowledge Base
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller
Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension
Neural Compositional Denotational Semantics for Question Answering
Cross-Pair Text Representations for Answer Sentence Selection
QuAC: Question Answering in Context
Knowledge Base Question Answering via Encoding of Complex Query Graphs
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction
N-ary Relation Extraction using Graph-State LSTM
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding
Extracting Entities and Relations with Joint Minimum Risk Training
Large-scale Exploration of Neural Relation Classification Architectures
Possessors Change Over Time: A Case Study with Artworks
Using Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution
Subgoal Discovery for Hierarchical Dialogue Policy Learning
Supervised Clustering of Questions into Intents for Dialog System Applications
Towards Exploiting Background Knowledge for Building Conversation Systems
Decoupling Strategy and Generation in Negotiation Dialogues
Large-scale Cloze Test Dataset Created by Teachers
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Evaluating Theory of Mind in Question Answering
A Unified Syntax-aware Framework for Semantic Role Labeling
Semantics as a Foreign Language
An AMR Aligner Tuned by Transition-based Parser
Dependency-based Hybrid Trees for Semantic Parsing
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations
Sentence Compression for Arbitrary Languages via Multilingual Pivoting
Unsupervised Cross-lingual Transfer of Word Embedding Spaces
XNLI: Evaluating Cross-lingual Sentence Representations
Joint Multilingual Supervision for Cross-lingual Entity Linking
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition
WECA: A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition
A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check
Neural Quality Estimation of Grammatical Error Correction
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
A Challenge Set and Methods for Noun-Verb Ambiguity
What do character-level models learn about morphology? The case of dependency parsing
Learning Better Internal Structure of Words for Sequence Labeling
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection
Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation
Grounding Semantic Roles in Images
Commonsense Justification for Action Explanation
Learning Personas from Dialogue with Attentive Memory Networks
Grounding language acquisition by training semantic parsers using captioned videos
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects
Is this Sentence Difficult? Do you Agree?
Neural Transition Based Parsing of Web Queries: An Entity Based Approach
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction
Incremental Computation of Infix Probabilities for Probabilistic Finite Automata
Syntax Encoding with Application in Authorship Attribution
Sanskrit Word Segmentation Using Character-level Recurrent and Convolutional Neural Networks
Session-level Language Modeling for Conversational Speech
Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method
Training Millions of Personalized Dialogue Agents
Towards Universal Dialogue State Tracking
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
The glass ceiling in NLP
Reducing Gender Bias in Abusive Language Detection
SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories
Learning multiview embeddings for assessing dementia
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets
Adversarial training for multi-context joint entity and relation extraction
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding
Deep Exhaustive Model for Nested Named Entity Recognition
Evaluating the Utility of Hand-crafted Features in Sequence Labelling
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data
A Framework for Understanding the Role of Morphology in Universal Dependency Parsing
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation
Imitation Learning for Neural Morphological String Transduction
An Encoder-Decoder Approach to the Paradigm Cell Filling Problem
Generating Natural Language Adversarial Examples
Multi-Head Attention with Disagreement Regularization
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study
Bayesian Compression for Natural Language Processing
Multimodal neural pronunciation modeling for spoken languages with logographic origin
Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models
How to represent a word and predict it, too: Improving tied architectures for language modelling
The Importance of Generation Order in Language Modeling
Document-Level Neural Machine Translation with Hierarchical Attention Networks
Three Strategies to Improve One-to-Many Multilingual Translation
Multi-Source Syntactic Neural Machine Translation
Fixing Translation Divergences in Parallel Corpora for Neural MT
Adversarial Evaluation of Multimodal Machine Translation
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism
Getting Gender Right in Neural Machine Translation
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification
Prediction Improves Simultaneous Neural Machine Translation
Training Deeper Neural Machine Translation Models with Transparent Attention
Context and Copying in Neural Machine Translation
Encoding Gated Translation Memory into Neural Machine Translation
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing
Word Embeddings for Code-Mixed Language Processing
On the Strength of Character Language Models for Multilingual Named Entity Recognition
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining
Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification
Zero-shot User Intent Detection via Capsule Neural Networks
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts
Investigating Capsule Networks with Dynamic Routing for Text Classification
Topic Memory Networks for Short Text Classification
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces
Automatic Poetry Generation with Mutual Reinforcement Learning
Variational Autoregressive Decoder for Neural Response Generation
Integrating Transformer and Paraphrase Rules for Sentence Simplification
Learning Neural Templates for Text Generation
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation
Knowledge Graph Embedding with Hierarchical Relation Structure
Embedding Multimodal Relational Data for Knowledge Base Completion
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
Playing 20 Question Game with Policy-Based Reinforcement Learning
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting
Implicational Universals in Stochastic Constraint-Based Phonology
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations
A Computational Exploration of Exaggeration
Building Context-aware Clause Representations for Situation Entity Type Classification
Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models
Neural Ranking Models for Temporal Dependency Structure Parsing
Causal Explanation Analysis on Social Media
LRMM: Learning to Recommend with Missing Modalities
Content Explorer: Recommending Novel Entities for a Document Writer
A Genre-Aware Attention Model to Improve the Likability Prediction of Books
Thread Popularity Prediction and Tracking with a Permutation-invariant Model
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking
Multi-grained Attention Network for Aspect-Level Sentiment Classification
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification
Contextual Inter-modal Attention for Multi-modal Sentiment Analysis
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification
ExtRA: Extracting Prominent Review Aspects from Customer Feedback
Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
Automatic Detection of Vague Words and Sentences in Privacy Policies
Multi-view Models for Political Ideology Detection of News Articles
Predicting Factuality of Reporting and Bias of News Media Sources
Legal Judgment Prediction via Topological Learning
Hierarchical CVAE for Fine-Grained Hate Speech Classification
Residualized Factor Adaptation for Community Social Media Prediction Tasks
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
Identifying the sentiment styles of YouTube′s vloggers
Native Language Identification with User Generated Content
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter
A Study of Reinforcement Learning for Neural Machine Translation
Meta-Learning for Low-Resource Neural Machine Translation
Unsupervised Statistical Machine Translation
A Visual Attention Grounding Neural Model for Multimodal Machine Translation
Sentiment Classification towards Question-Answering with Hierarchical Matching Network
Cross-topic Argument Mining from Heterogeneous Sources
Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised
CARER: Contextualized Affect Representations for Emotion Recognition
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization
Pathologies of Neural Models Make Interpretations Difficult
Phrase-level Self-Attention Networks for Universal Sentence Encoding
BanditSum: Extractive Summarization as a Contextual Bandit
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data
Syntactic Scaffolds for Semantic Structures
Hierarchical Quantized Representations for Script Generation
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data
A Teacher-Student Framework for Maintainable Dialog Manager
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding
Learning End-to-End Goal-Oriented Dialog with Multiple Answers
AirDialogue: An Environment for Goal-Oriented Dialogue Research
QuaSE: Sequence Editing under Quantifiable Guidance
Paraphrase Generation with Deep Reinforcement Learning
Operation-guided Neural Networks for High Fidelity Data-To-Text Generation
Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Unsupervised Natural Language Generation with Denoising Autoencoders
Answer-focused and Position-aware Neural Question Generation
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation
Towards a Better Metric for Evaluating Question Generation Systems
Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity
Incorporating Background Knowledge into Video Description Generation
Multimodal Differential Network for Visual Question Generation
Entity-aware Image Caption Generation
Learning to Describe Differences Between Pairs of Similar Images
Object Hallucination in Image Captioning
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN
Keyphrase Generation with Correlation Constraints
Closed-Book Training to Improve Summarization Encoder Memory
Improving Neural Abstractive Document Summarization with Structural Regularization
Iterative Document Representation Learning Towards Summarization with Polishing
Bottom-Up Abstractive Summarization
Controlling Length in Abstractive Summarization Using a Convolutional Neural Network
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Semi-Supervised Learning for Neural Keyphrase Generation
MSMO: Multimodal Summarization with Multimodal Output
Frustratingly Easy Model Ensemble for Abstractive Summarization
Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
What Makes Reading Comprehension Questions Easier?
Commonsense for Generative Multi-Hop Question Answering Tasks
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
A Nil-Aware Answer Extraction Framework for Question Answering
Exploiting Deep Representations for Neural Machine Translation
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
Speeding Up Neural Machine Translation Decoding by Cube Pruning
Revisiting Character-Based Neural Machine Translation with Capacity and Compression
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation
A Neural Local Coherence Model for Text Quality Assessment
Deep Attentive Sentence Ordering Network
Getting to ``Hearer-old″: Charting Referring Expressions Across Time
Making ``fetch″ happen: The influence of social and linguistic context on nonstandard word growth and decline
Analyzing Correlated Evolution of Multiple Features Using Latent Representations
Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting
Characterizing Interactions and Relationships between People
Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
Hard Non-Monotonic Attention for Character-Level Transduction
Speed Reading: Learning to Read ForBackward via Shuttle
Modeling Localness for Self-Attention Networks
Chargrid: Towards Understanding 2D Documents
Simple Recurrent Units for Highly Parallelizable Recurrence
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences
Spherical Latent Spaces for Stable Variational Autoencoders
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
Word Mover′s Embedding: From Word2Vec to Document Embedding
Multilingual Clustering of Streaming News
Multi-Task Label Embedding for Text Classification
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification
MCapsNet: Capsule Network for Text with Multi-Task Learning
Uncertainty-aware generative models for inferring document class prevalence
Challenges of Using Text Classifiers for Causal Inference
Direct Output Connection for a High-Rank Language Model
Disfluency Detection using Auto-Correlational Neural Networks
Pyramidal Recurrent Unit for Language Modeling
On Tree-Based Neural Sentence Modeling
Language Modeling with Sparse Product of Sememe Experts
Siamese Network-Based Supervised Topic Modeling
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model
Modeling Online Discourse with Coupled Distributed Topics
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
Multi-Source Domain Adaptation with Mixture of Experts
A Neural Model of Adaptation in Reading
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study
Lexicosyntactic Inference in Neural Models
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models
The Importance of Being Recurrent for Modeling Hierarchical Structure
Joint Learning for Targeted Sentiment Analysis
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification
A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness
Modeling Empathy and Distress in Reaction to News Stories
Interpretable Emoji Prediction via Label-Wise Attention LSTMs
A Tree-based Decoder for Neural Machine Translation
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation
Exploring Recombination for Efficient Decoding of Neural Machine Translation
Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation
Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
A strong baseline for question relevancy ranking
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Similar but not the Same: Word Sense Disambiguation Improves Event Detection via Neural Representation Matching
Learning Word Representations with Cross-Sentence Dependency for End-to-End Co-reference Resolution
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings
Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation
Learning Gender-Neutral Word Embeddings
Learning Concept Abstractness Using Weak Supervision
Word Sense Induction with Neural biLM and Symmetric Patterns
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data
Similarity-Based Reconstruction Loss for Meaning Representation
What can we learn from Semantic Tagging?
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop
Classifying Referential and Non-referential It Using Gaze
State-of-the-art Chinese Word Segmentation with Bi-LSTMs
Sanskrit Sandhi Splitting using seq2(seq)2
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs
Recovering Missing Characters in Old Hawaiian Writing
When data permutations are pathological: the case of neural natural language inference
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
Towards Semi-Supervised Learning for Deep Semantic Role Labeling
Identifying Domain Adjacent Instances for Semantic Parsers
Mapping natural language commands to web elements
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection
Modeling Input Uncertainty in Neural Network Dependency Parsing
Parameter sharing between dependency parsers for related languages
Grammar Induction with Neural Language Models: An Unusual Replication
Data Augmentation via Dependency Tree Morphing for Low-Resource Languages
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
Linguistically-Informed Self-Attention for Semantic Role Labeling
Phrase-Based & Neural Unsupervised Machine Translation
Enhanced Word Representations for Bridging Anaphora Resolution
Gender Bias in Coreference Resolution
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Integrating Stance Detection and Fact Checking in a Unified Corpus
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset
Multi-Task Learning for Argumentation Mining in Low-Resource Settings
Neural Models for Reasoning over Multiple Mentions Using Coreference
Automatic Dialogue Generation with Expressed Emotions
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network
Natural Language Generation by Hierarchical Decoding with Linguistic Patterns
Neural Poetry Translation
RankME: Reliable Human Ratings for Natural Language Generation
Sentence Simplification with Memory-Augmented Neural Networks
A Corpus of Non-Native Written English Annotated for Metaphor
A Simple and Effective Approach to the Story Cloze Test
An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols
Annotation Artifacts in Natural Language Inference Data
Humor Recognition Using Deep Learning
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection
Reference-less Measure of Faithfulness for Grammatical Error Correction
Training Structured Prediction Energy Networks with Indirect Supervision
Si O No, Que Penses? Catalonian Independence and Linguistic Identity on Social Media
A Transition-Based Algorithm for Unrestricted AMR Parsing
Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models
Character-Based Neural Networks for Sentence Pair Modeling
Determining Event Durations: Models and Error Analysis
Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model
Evaluating bilingual word embeddings on the long tail
Frustratingly Easy Meta-Embedding -- Computing Meta-Embeddings by Averaging Source Word Embeddings
Introducing Two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness
Lexical Substitution for Evaluating Compositional Distributional Models
Mittens: an Extension of GloVe for Learning Domain-Specialized Representations
Olive Oil is Made \textitof Olives, Baby Oil is Made \textitfor Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model
Semantic Pleonasm Detection
Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks
Sluice Resolution without Hand-Crafted Features over Brittle Syntax Trees
The Word Analogy Testing Caveat
Transition-Based Chinese AMR Parsing
Knowledge-Enriched Two-Layered Attention Network for Sentiment Analysis
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis
Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation
Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks
Looking for Structure in Lexical and Acoustic-Prosodic Entrainment Behaviors
Modeling Semantic Plausibility by Injecting World Knowledge
A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
A Comparison of Two Paraphrase Models for Taxonomy Augmentation
A Laypeople Study on Terminology Identification across Domains and Task Definitions
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
Cross-language Article Linking Using Cross-Encyclopedia Entity Embedding
Identifying the Most Dominant Event in a News Article by Mining Event Coreference Relations
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift
Semi-Supervised Event Extraction with Paraphrase Clusters
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text
Syntactic Patterns Improve Information Extraction for Medical Search
Syntactically Aware Neural Architectures for Definition Extraction
A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing
Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics?
Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning
Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees
Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers
Towards a Variability Measure for Multiword Expressions
Defoiling Foiled Image Captions
Pragmatically Informative Image Captioning with Character-Level Inference
Object Ordering with Bidirectional Matchings for Visual Reasoning
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
Cross-Lingual Learning-to-Rank with Shared Representations
Self-Attention with Relative Position Representations
Text Segmentation as a Supervised Learning Task
What′s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training
Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation
Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models
Neural Machine Translation Decoding with Terminology Constraints
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?
Are All Languages Equally Hard to Language-Model?
The Computational Complexity of Distinctive Feature Minimization in Phonology
Unsupervised Disambiguation of Syncretism in Inflected Lexicons
Contextualized Word Representations for Reading Comprehension
Crowdsourcing Question-Answer Meaning Representations
Leveraging Context Information for Natural Question Generation
Robust Machine Comprehension Models via Adversarial Training
Simple and Effective Semi-Supervised Question Answering
TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation
Community Member Retrieval on Social Media Using Textual Information
Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators
Predicting Foreign Language Usage from English-Only Social Media Posts
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization
Effective Crowdsourcing for a New Type of Summarization Task
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings
Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata
Multi-Reward Reinforced Summarization with Saliency and Entailment
Objective Function Learning to Match Human Judgements for Optimization-Based Summarization
Pruning Basic Elements for Better Automatic Evaluation of Summaries
Unsupervised Keyphrase Extraction with Multipartite Graphs
Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes
Multimodal Emoji Prediction
Higher-Order Coreference Resolution with Coarse-to-Fine Inference
Non-Projective Dependency Parsing with Non-Local Transitions
Detecting Linguistic Characteristics of Alzheimer′s Dementia by Interpreting Neural Models
Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts
Feudal Reinforcement Learning for Dialogue Management in Large Domains
Evaluating Historical Text Normalization Systems: How Well Do They Generalize?
Gated Multi-Task Network for Text Classification
Natural Language to Structured Query Generation via Meta-Learning
Smaller Text Classifiers with Discriminative Cluster Embeddings
Role-specific Language Models for Processing Recorded Neuropsychological Exams
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data
Learning to Color from Language
Punny Captions: Witty Wordplay in Image Descriptions
The Emergence of Semantics in Neural Network Representations of Visual Information
Visual Referring Expression Recognition: What Do Systems Actually Learn?
Visually Guided Spatial Relation Extraction from Text
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
Joint Bootstrapping Machines for High Confidence Relation Extraction
A Deep Generative Model of Vowel Formant Typology
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages
Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation
Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information
Tied Multitask Learning for Neural Speech Translation
Please Clap: Modeling Applause in Campaign Speeches
Attentive Interaction Model: Modeling Changes in View in Argumentation
Automatic Focus Annotation: Bringing Formal Pragmatics Alive in Analyzing the Information Structure of Authentic Data
Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer
Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
A Melody-Conditioned Lyrics Language Model
Discourse-Aware Neural Rewards for Coherent Text Generation
Natural Answer Generation with Heterogeneous Memory
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
Simplification Using Paraphrases and Context-Based Lexical Substitution
Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
Automated Essay Scoring in the Presence of Biased Ratings
Content-Based Citation Recommendation
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input
QuickEdit: Editing Text & Translations by Crossing Words Out
Tempo-Lexical Context Driven Word Embedding for Cross-Session Search Task Extraction
Zero-Shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Variable Typing: Assigning Meaning to Variables in Mathematical Text
Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing
Comparing Constraints for Taxonomic Organization
Improving Lexical Choice in Neural Machine Translation
Universal Neural Machine Translation for Extremely Low Resource Languages
Classical Structured Prediction Losses for Sequence to Sequence Learning
Deep Dirichlet Multinomial Regression
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse
Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation
Scene Graph Parsing as Dependency Parsing
Learning Visually Grounded Sentence Representations
Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets
Abstract Meaning Representation for Paraphrase Detection
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
Can Network Embedding of Distributional Thesaurus Be Combined with Word Vectors for Better Representation?
Deep Neural Models of Semantic Shift
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection
Mining Possessions: Existence, Type and Temporal Anchors
Neural Tensor Networks with Diagonal Slice Matrices
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features
Learning Domain Representation for Multi-Domain Sentiment Classification
Learning Sentence Representations over Tree Structures for Target-Dependent Classification
Relevant Emotion Ranking from Text Constrained with Emotion Relationships
Solving Data Sparsity for Aspect Based Sentiment Analysis Using Cross-Linguality and Multi-Linguality
SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
Robust Cross-Lingual Hypernymy Detection Using Dependency Context
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction
Self-Training for Jointly Learning to Ask and Answer Questions
The Web as a Knowledge-Base for Answering Complex Questions
A Meaning-Based Statistical English Math Word Problem Solver
Fine-Grained Temporal Orientation and its Relationship with Psycho-Demographic Correlates
Querying Word Embeddings for Similarity and Relatedness
Semantic Structural Evaluation for Text Simplification
Entity Commonsense Representation for Neural Abstractive Summarization
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Polyglot Semantic Parsing in APIs
Neural Models of Factuality
Accurate Text-Enhanced Knowledge Graph Representation Learning
Acquisition of Phrase Correspondences Using Natural Deduction Proofs
Automatic Stance Detection Using End-to-End Memory Networks
Collective Entity Disambiguation with Structured Gradient Tree Boosting
DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors
Efficient Sequence Learning with Group Recurrent Networks
FEVER: a Large-scale Dataset for Fact Extraction and VERification
Global Relation Embedding for Relation Extraction
Implicit Argument Prediction with Event Knowledge
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
Multimodal Named Entity Recognition for Short Social Media Posts
Nested Named Entity Recognition Revisited
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
Supervised Open Information Extraction
Embedding Syntax and Semantics of Prepositions via Tensor Decomposition
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses
Neural Particle Smoothing for Sampling from Conditional Sequence Models
Neural Syntactic Generative Models with Exact Marginalization
Noise-Robust Morphological Disambiguation for Dialectal Arabic
Parsing Tweets into Universal Dependencies
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Universal Dependency Parsing for Hindi-English Code-Switching
What′s Going On in Neural Constituency Parsers? An Analysis
Deep Generative Model for Joint Alignment and Word Representation
Learning Word Embeddings for Low-Resource Languages by PU Learning
Exploring the Role of Prior Beliefs for Argument Persuasion
Inducing a Lexicon of Abusive Words -- a Feature-Based Approach
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions
Comparing Automatic and Human Evaluation of Local Explanations for Text Classification
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation
Explainable Prediction of Medical Codes from Clinical Text
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Filling Missing Paths: Modeling Co-occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations
Specialising Word Vectors for Lexical Entailment
Cross-Lingual Abstract Meaning Representation Parsing
Sentences with Gapping: Parsing and Reconstructing Elided Predicates
A Structured Syntax-Semantics Interface for English-AMR Alignment
End-to-End Graph-Based TAG Parsing with Neural Networks
Colorless Green Recurrent Networks Dream Hierarchically
Diverse Few-Shot Text Classification with Multiple Metrics
Early Text Classification Using Multi-Resolution Concept Representations
Multinomial Adversarial Networks for Multi-Domain Text Classification
Pivot Based Language Modeling for Improved Neural Domain Adaptation
Reinforced Co-Training
Tensor Product Generation Networks for Deep NLP Modeling
The Context-Dependent Additive Recurrent Neural Net
Combining Character and Word Information in Neural Machine Translation Using a Multi-Level Attention
Dense Information Flow for Neural Machine Translation
Evaluating Discourse Phenomena in Neural Machine Translation
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
Guiding Neural Machine Translation with Retrieved Translation Pieces
Handling Homographs in Neural Machine Translation
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach
Self-Attentive Residual Decoder for Neural Machine Translation
Target Foresight Based Attention for Neural Machine Translation
Context Sensitive Neural Lemmatization with Lematus
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
Reusing Weights in Subword-Aware Neural Language Models
Simple Models for Word Formation in Slang
Using Morphological Knowledge in Open-Vocabulary Neural Language Models
A Neural Layered Model for Nested Named Entity Recognition
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
Multimodal Frame Identification with Multilingual Evaluation
Learning Joint Semantic Parsers from Disjoint Data
Identifying Semantic Divergences in Parallel Text without Annotations
Bootstrapping Generators from Noisy Data
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension
Learning to Collaborate for Question Answering and Asking
Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering
Supervised and Unsupervised Transfer Learning for Question Answering
Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension
Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation
Deconfounded Lexicon Induction for Interpretable Social Science
Detecting Denial-of-Service Attacks from Social Media Text: Applying NLP to Computer Security
The Importance of Calibration for Estimating Proportions from Annotations
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
Deep Communicating Agents for Abstractive Summarization
Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts
Estimating Summary Quality with Pairwise Preferences
Generating Topic-Oriented Summaries Using Neural Attention
Generative Bridging Network for Neural Sequence Prediction
Higher-Order Syntactic Attention Network for Longer Sentence Compression
Neural Storyline Extraction Model for Storyline Generation from News Articles
Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function
Ranking Sentences for Extractive Summarization with Reinforcement Learning
Relational Summarization for Corpus Analysis
What′s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis
Which Scores to Predict in Sentence Regression for Text Summarization?
A Hierarchical Latent Structure for Variational Conversation Modeling
Detecting Egregious Conversations between Customers and Virtual Agents
Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking
Variational Knowledge Graph Reasoning
Inducing Temporal Relations from Time Anchor Annotation
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions
Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Sentiment Analysis: It′s Complicated!
Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces
Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem
Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data
The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants
Linguistic Cues to Deception and Perceived Deception in Interview Dialogues
Unified Pragmatic Models for Generating and Following Instructions
Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness
Assessing Language Proficiency from Eye Movements in Reading
Comparing Theories of Speaker Choice Using a Model of Classifier Production in Mandarin Chinese
Spotting Spurious Data with Neural Networks
The Timing of Lexical Memory Retrievals in Language Production
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing
Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog
Dialog Generation Using Multi-Turn Reasoning Neural Networks
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics
EMR Coding with Semi-Parametric Multi-Head Matching Networks
Factors Influencing the Surprising Instability of Word Embeddings
Mining Evidences for Concept Stock Recommendation
Binarized LSTM Language Model
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos
How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in Dialogues
Towards Understanding Text Factors in Oral Reading
Generating Bilingual Pragmatic Color References
Learning with Latent Language
Object Counts! Bringing Explicit Detections Back into Image Captioning
Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets
Speaker Naming in Movies
Stacking with Auxiliary Features for Visual Question Answering
Deep Contextualized Word Representations
Learning to Map Context-Dependent Sentences to Executable Formal Queries
Neural Text Generation in Stories Using Entity Representations as Context
Recurrent Neural Networks as Weighted Language Recognizers
A New Approach to Animacy Detection
Zero Pronoun Resolution with Attention-based Neural Network
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking
Triad-based Neural Network for Coreference Resolution
Unsupervised Morphology Learning with Statistical Paradigms
Challenges of language technologies for the indigenous languages of the Americas
Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort
Neural Transition-based String Transduction for Limited-Resource Setting in Morphology
Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis
Sprucing up the trees -- Error detection in treebanks
Two Local Models for Neural Constituent Parsing
RNN Simulations of Grammaticality Judgments on Long-distance Dependencies
How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level
Learning to Search in Long Documents Using Document Structure
Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition
Representation Learning of Entities and Documents from Knowledge Base Descriptions
Simple Neologism Based Domain Independent Models to Predict Year of Authorship
Neural Math Word Problem Solver with Reinforcement Learning
Personalizing Lexical Simplification
From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources
Lexi: A tool for adaptive, personalized text simplification
Identifying Emergent Research Trends by Key Authors and Phrases
Embedding WordNet Knowledge for Textual Entailment
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases
Joint Learning from Labeled and Unlabeled Data for Information Retrieval
Modeling the Readability of German Targeting Adults and Children: An empirically broad analysis and its cross-corpus validation
Automatic Assessment of Conceptual Text Complexity Using Knowledge Graphs
Par4Sim -- Adaptive Paraphrasing for Text Simplification
Topic or Style? Exploring the Most Useful Features for Authorship Attribution
A Deep Dive into Word Sense Disambiguation with LSTM
Enriching Word Embeddings with Domain Knowledge for Readability Assessment
WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages
Authorship Identification for Literary Book Recommendations
A Nontrivial Sentence Corpus for the Task of Sentence Readability Assessment in Portuguese
Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference
Cooperative Denoising for Distantly Supervised Relation Extraction
Adversarial Feature Adaptation for Cross-lingual Relation Classification
One-shot Learning for Question-Answering in Gaokao History Challenge
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Interpretation of Implicit Conditions in Database Search Dialogues
Few-Shot Charge Prediction with Discriminative Legal Attributes
Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
Natural Language Interface for Databases Using a Dual-Encoder Model
Employing Text Matching Network to Recognise Nuclearity in Chinese Discourse
Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank
Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning
Transition-based Neural RST Parsing with Implicit Syntax Features
Deep Enhanced Representation for Implicit Discourse Relation Recognition
A Knowledge-Augmented Neural Network Model for Implicit Discourse Relation Classification
Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features
Design Challenges in Named Entity Transliteration
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation
On Adversarial Examples for Character-Level Neural Machine Translation
Systematic Study of Long Tail Phenomena in Entity Linking
Neural Collective Entity Linking
Exploiting Structure in Representation of Named Entities using Active Learning
A Practical Incremental Learning Framework For Sparse Entity Extraction
An Empirical Study on Fine-Grained Named Entity Recognition
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Ant Colony System for Multi-Document Summarization
Multi-task dialog act and sentiment recognition on Mastodon
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian
Self-Normalization Properties of Language Modeling
A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis
Dynamic Feature Selection with Attention in Incremental Parsing
Vocabulary Tailored Summary Generation
Reading Comprehension with Graph-based Temporal-Casual Reasoning
Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!
HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation
Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension
A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis
Open-Domain Event Detection using Distant Supervision
Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing
Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings
A review of Spanish corpora annotated with negation
Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings
Leveraging Meta-Embeddings for Bilingual Lexicon Extraction from Specialized Comparable Corpora
Learning Emotion-enriched Word Representations
Evaluating the text quality, human likeness and tailoring component of PASS: A Dutch data-to-text system for soccer
Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension
Style Obfuscation by Invariance
Encoding Sentiment Information into Word Vectors for Sentiment Analysis
Multi-Task Neural Models for Translating Between Styles Within and Across Languages
Towards a Language for Natural Language Treebank Transductions
Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training
Point Precisely: Towards Ensuring the Precision of Data in Generated Texts Using Delayed Copy Mechanism
Enhancing General Sentiment Lexicons for Domain-Specific Use
An Operation Network for Abstractive Sentence Compression
Enhanced Aspect Level Sentiment Classification with Auxiliary Memory
Author Profiling for Abuse Detection
Automated Scoring: Beyond Natural Language Processing
Aspect and Sentiment Aware Abstractive Review Summarization
Effective Attention Modeling for Aspect-Level Sentiment Classification
Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis
Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences
Adversarial Multi-lingual Neural Relation Extraction
Neural Relation Classification with Text Descriptions
Abstract Meaning Representation for Multi-Document Summarization
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion
Adversarial Domain Adaptation for Variational Neural Language Generation in Dialogue Systems
Ask No More: Deciding when to guess in referential visual dialogue
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding
Dialogue-act-driven Conversation Model : An Experimental Study
Structured Dialogue Policy with Graph Neural Networks
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features
MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation
Refining Source Representations with Relation Networks for Neural Machine Translation
A Survey of Domain Adaptation for Neural Machine Translation
An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization
Fine-Grained Arabic Dialect Identification
Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions
Local String Transduction as Sequence Labeling
Deep Neural Networks at the Service of Multilingual Parallel Sentence Extraction
Diachronic word embeddings and semantic shifts: a survey
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention
Cross-media User Profiling with Joint Textual and Social User Embedding
Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation
Fast and Accurate Reordering with ITG Transition RNN
Neural Machine Translation with Decoding History Enhanced Attention
Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
Crowdsourcing a Large Corpus of Clickbait on Twitter
Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base Completion
Assessing Quality Estimation Models for Sentence-Level Prediction
User-Level Race and Ethnicity Predictors from Twitter Text
Multi-Source Multi-Class Fake News Detection
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection
Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction
Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies
The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities
Ab Initio: Automatic Latin Proto-word Reconstruction
A Computational Model for the Linguistic Notion of Morphological Paradigm
Relation Induction in Word Embeddings Revisited
Contextual String Embeddings for Sequence Labeling
Learning Word Meta-Embeddings by Autoencoding
GenSense: A Generalized Sense Retrofitting Model
Variational Attention for Sequence-to-Sequence Models
A New Concept of Deep Reinforcement Learning based Augmented General Tagging System
Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types
Reproducing and Regularizing the SCRN Model
Structure-Infused Copy Mechanisms for Abstractive Summarization
Measuring the Diversity of Automatic Image Descriptions
Extractive Headline Generation Based on Learning to Rank for Community Question Answering
A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators
Embedding Words as Distributions with a Bayesian Skip-gram Model
Assessing Composition in Sentence Vector Representations
Subword-augmented Embedding for Cloze Reading Comprehension
Enhancing Sentence Embedding with Generalized Pooling
Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
Recognizing Humour using Word Associations and Humour Anchor Extraction
A Retrospective Analysis of the Fake News Challenge Stance-Detection Task
Exploiting Syntactic Structures for Humor Recognition
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection
Robust Lexical Features for Improved Neural Network Named-Entity Recognition
A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words
Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps
Style Detection for Free Verse Poetry from Text and Speech
A Neural Question Answering Model Based on Semi-Structured Tables
LCQMC:A Large-scale Chinese Question Matching Corpus
Genre Identification and the Compositional Effect of Genre in Literature
Transfer Learning for Entity Recognition of Novel Classes
Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models
The APVA-TURBO Approach To Question Answering in Knowledge Base
An Interpretable Reasoning Network for Multi-Relation Question Answering
Task-oriented Word Embedding for Text Classification
Adaptive Learning of Local Semantic and Global Structure Representations for Text Classification
Lyrics Segmentation: Textual Macrostructure Detection using Convolutions
Learning What to Share: Leaky Multi-Task Network for Text Classification
Towards an argumentative content search engine using weak supervision
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpedia
An Analysis of Annotated Corpora for Emotion Classification in Text
Investigating the Working of Text Classifiers
A Review on Deep Learning Techniques Applied to Answer Selection
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning
Joint Neural Entity Disambiguation with Output Space Search
Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models
Responding E-commerce Product Questions via Exploiting QA Collections and Reviews
Aff2Vec: Affect--Enriched Distributional Word Representations
Aspect-based summarization of pros and cons in unstructured product reviews
Learning Sentiment Composition from Sentiment Lexicons
Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew
Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class Imbalance
Exploratory Neural Relation Classification for Domain Knowledge Acquisition
Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs
Open Information Extraction from Conjunctive Sentences
Graphene: Semantically-Linked Propositions in Open Information Extraction
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification
Multimodal Grounding for Language Processing
Stress Test Evaluation for Natural Language Inference
Grounded Textual Entailment
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Hybrid Attention based Multimodal Network for Spoken Language Classification
Exploring the Influence of Spelling Errors on Lexical Variation Measures
Stance Detection with Hierarchical Attention Network
Correcting Chinese Word Usage Errors for Learning Chinese as a Second Language
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
Context-Sensitive Generation of Open-Domain Conversational Responses
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction
Synonymy in Bilingual Context: The CzEngClass Lexicon
Convolutional Neural Network for Universal Sentence Embeddings
Rich Character-Level Information for Korean Morphological Analysis and Part-of-Speech Tagging
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection
Real-time Change Point Detection using On-line Topic Models
Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German
Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network
Learning to Generate Word Representations using Subword Information
Urdu Word Segmentation using Conditional Random Fields (CRFs)
ReSyf: a French lexicon with ranked synonyms
If you′ve seen some, you′ve seen them all: Identifying variants of multiword expressions
Learning Multilingual Topics from Incomparable Corpora
Using Word Embeddings for Unsupervised Acronym Disambiguation
Indigenous language technologies in Canada: Assessment, challenges, and successes
Pluralizing Nouns across Agglutinating Bantu Languages
Automatically Extracting Qualia Relations for the Rich Event Ontology
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Evaluation of Unsupervised Compositional Representations
Using Formulaic Expressions in Writing Assistance Systems
What′s in Your Embedding, And How It Predicts Task Performance
Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based Graph
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
A Reassessment of Reference-Based Grammatical Error Correction Metrics
Information Aggregation via Dynamic Routing for Sequence Encoding
A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?
Authorship Attribution By Consensus Among Multiple Features
Modeling with Recurrent Neural Networks for Open Vocabulary Slots
Challenges and Opportunities of Applying Natural Language Processing in Business Process Management
Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection
What represents ``style″ in authorship attribution?
Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction
Model-Free Context-Aware Word Composition
Learning Features from Co-occurrences: A Theoretical Analysis
Towards a unified framework for bilingual terminology extraction of single-word and multi-word terms
Neural Activation Semantic Models: Computational lexical semantic models of localized neural activations
Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow Encoded Neural Network
Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs
Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media
Clausal Modifiers in the Grammar Matrix
Sliced Recurrent Neural Networks
Multi-Task Learning for Sequence Tagging: An Empirical Study
Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models
Incremental Natural Language Processing: Challenges, Strategies, and Evaluation
Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions
Multi-layer Representation Fusion for Neural Machine Translation
Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings
Adaptive Weighting for Neural Machine Translation
Generic refinement of expressive grammar formalisms with an application to discontinuous constituent parsing
Double Path Networks for Sequence to Sequence Learning
An Empirical Investigation of Error Types in Vietnamese Parsing
Learning with Noise-Contrastive Estimation: Easing training by learning to scale
Parallel Corpora for bi-lingual English-Ethiopian Languages Statistical Machine Translation
Multilingual Neural Machine Translation with Task-Specific Attention
Combining Information-Weighted Sequence Alignment and Sound Correspondence Models for Improved Cognate Detection
Tailoring Neural Architectures for Translating from Morphologically Rich Languages
deepQuest: A Framework for Neural-based Quality Estimation
Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking
Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model
Sentence Weighting for Neural Machine Translation Domain Adaptation
Quantifying training challenges of dependency parsers
Seq2seq Dependency Parsing
Revisiting the Hierarchical Multiscale LSTM
Character-Level Feature Extraction with Densely Connected Networks
Neural Machine Translation Incorporating Named Entity
Semantic Parsing for Technical Support Questions
Deconvolution-Based Global Decoding for Neural Machine Translation
Pattern-revising Enhanced Simple Question Answering over Knowledge Bases
Integrating Question Classification and Deep Learning for improved Answer Selection
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering
Rethinking the Agreement in Human Evaluation Tasks
Dependent Gated Reading for Cloze-Style Question Answering
Automated Fact Checking: Task Formulations, Methods and Future Directions
Can Rumour Stance Alone Predict Veracity?
Attending Sentences to detect Satirical Fake News
Predicting Stances from Social Media Posts using Factorization Machines
Automatic Detection of Fake News
All-in-one: Multi-task Learning for Rumour Verification
Open Information Extraction on Scientific Text: An Evaluation
Simple Algorithms For Sentiment Analysis On Sentiment Rich, Data Poor Domains.
Word-Level Loss Extensions for Neural Temporal Relation Classification
Personalized Text Retrieval for Learners of Chinese as a Foreign Language
Punctuation as Native Language Interference
Investigating Productive and Receptive Knowledge: A Profile for Second Language Learning
iParaphrasing: Extracting Visually Grounded Paraphrases via an Image
MCDTB: A Macro-level Chinese Discourse TreeBank
Corpus-based Content Construction
Bridging resolution: Task definition, corpus resources and rule-based experiments
Semi-Supervised Disfluency Detection
ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents
Arrows are the Verbs of Diagrams
Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection
Bridge Video and Text with Cascade Syntactic Structure
Multi-task and Multi-lingual Joint Learning of Neural Lexical Utterance Classification based on Partially-shared Modeling
Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language
A Prospective-Performance Network to Alleviate Myopia in Beam Search for Response Generation
Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text
Addressee and Response Selection for Multilingual Conversation
Graph Based Decoding for Event Sequencing and Coreference Resolution
DIDEC: The Dutch Image Description and Eye-tracking Corpus
Narrative Schema Stability in News Text
NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager
AMR Beyond the Sentence: the Multi-sentence AMR corpus
Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples
Structured Representation Learning for Online Debate Stance Prediction
Modeling Multi-turn Conversation with Deep Utterance Aggregation
Argumentation Synthesis following Rhetorical Strategies
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation
Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering
Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts
AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and Relatedness
Arguments and Adjuncts in Universal Dependencies
Distinguishing affixoid formations from compounds
A Survey on Open Information Extraction
Design Challenges and Misconceptions in Neural Sequence Labeling
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
Authorless Topic Models: Biasing Models Away from Known Structure
SGM: Sequence Generation Model for Multi-label Classification