Starred repositories
A curated list of resources for Learning with Noisy Labels
Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Code for the paper Fine-Tuning Language Models from Human Preferences
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Code corresponding to our paper "Modeling Graph Structure in Transformer for Better AMR-to-Text Generation" in EMNLP-IJCNLP-2019
Generative Flow based Sequence-to-Sequence Toolkit written in Python.
📝 Abstractive Summarization of Reddit Posts with Multi-level Memory Networks. In NAACL-HLT, 2019 (oral).
Snippext: Semi-supervised Opinion Mining with Augmented Data
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Code for "A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis." on EMNLP 2019.
Zhuang Chen, Tieyun Qian: Transfer Capsule Network for Aspect Level Sentiment Classification. ACL 2019: 547-556
A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.
A simple library to preprocess ABSA related tasks from SemEval
code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
Papers, models and datasets for Aspect-Category Sentiment Analysis.
Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合
The official Keras implementation of ACL 2020 paper "Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders".
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
A paper list for aspect based sentiment analysis.
Code and dataset for ACL2019 ‘‘An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis’’.
Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"
Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.
[EMNLP2019] Rethinking Attribute Representation and Injection for Sentiment Classification