This repo contains a list of paper related to the topic of text simplification.
Text simplification is the process of reducing the linguistic complexity of a text,while still retaining the oroginal information and meaning. There are three main research directions currently. First, Few datasets are available in this field.In order to get more data,we need data augmentation. Second,We need to establish scientific and practical evaluation metric for this task. Third,the approach to do text simplification is important obviously. There are three approach to do text simplification:Lexical simplification,syntactice simplification and text generation.
The following is a list of related papers,If any error, please open an issue.
A Survey on Text Simplification arXiv2020 pdf
Data-Driven Sentence Simplification: Survey and Benchmark arXiv2020 pdf
A Survey of Automated Text Simplification IJACSA2014 pdf
Text simplification on TurkCorpus link
Text simplification on ASSET link
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations ACL2020 pdf
Neural CRF Model for Sentence Alignment in Text Simplification ACL2020 pdf
Neural Text Simplification in Low-Resource Conditions Using Weak Supervision ACL2019 pdf
Text Simplification from Professionally Produced Corpora ACL2018 pdf
CATS: A Tool for Customized Alignment of Text Simplification Corpora ACL2018 pdf
Sentence Alignment Methods for Improving Text Simplification Systems ACL2017 pdf
Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification ACL2017 pdf
The GEM Benchmark:Natural Language Generation, its Evaluation and Metrics Arxiv2021 pdf
EASSE: Easier Automatic Sentence Simplification Evaluation EMNLP2019 pdf
BLEU is Not Suitable for the Evaluation of Text Simplification EMNLP2018 pdf code
Semantic Structural Evaluation for Text Simplification NAACL2018 pdf code
Benchmarking Lexical Simplification Systems ACL2016 pdf code
Optimizing Statistical Machine Translation for Text Simplification TACL2016 pdf code
Recursive Context-Aware Lexical Simplification EMNLP2019 pdf
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification EMNLP2018 pdf
Simplification Using Paraphrases and Context-based Lexical Substitution ACL2018 pdf
SV000gg at SemEval-2016 Task 11: Heavy Gauge Complex Word Identification with System Voting ACL2016 pdf
PLUJAGH at SemEval-2016 Task 11: Simple System for Complex Word Identification ACL2016 pdf
UWB at SemEval-2016 Task 11: Exploring Features for Complex Word Identification ACL2016 pdf
LTG at SemEval-2016 Task 11: Complex Word Identification with Classifier Ensembles ACL2016 pdf
A Simple Word Embedding Model for Lexical Substitution ACL2015 pdf
Simplifying Lexical Simplification: Do We Need Simplified Corpora? ACL2015 pdf
LEXenstein: A Framework for Lexical Simplification ACL2015 pdf
Text Simplification as Tree Transduction ACL2013 pdf
Selecting Proper Lexical Paraphrase for Children ACL2013 pdf
The CW Corpus: A New Resource for Evaluating the Identi cation of Complex Words ACL2013 pdf
UOW-SHEF: SimpLex – Lexical Simplicity Ranking based on Contextual and Psycholinguistic Features ACL2012 pdf
Putting it Simply: a Context-Aware Approach to Lexical Simplification ACL2011 pdf
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia NAACL2010 pdf
Mining a Lexicon of Technical Terms and Lay Equivalents ACL2007 pdf
The Unified Medical Language System (UMLS): integrating biomedical terminology pdf
Simple, readable sub-sentences ACL2013 pdf
Hybrid simplification using deep semantics and machine translation ACL2014 pdf
Sentence Simplification by Monolingual Machine Translation ACL2012 pdf
Learning to Simplify Sentences Using Wikipedia arXiv2011 pdf
Iterative Edit-Based Unsupervised Sentence Simplification ACL2020 pdf
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing ACL2019 pdf
Integrating Transformer and Paraphrase Rules for Sentence Simplification EMNLP2018 pdf
A Detailed Evaluation of Neural Sequence-to-Sequence Models for In-domain and Cross-domain Text Simplification ACL2018 pdf
Reference-less Quality Estimation of Text Simplification Systems ATA 2018 pdf
Simple and Effective Text Simplification Using Semantic and Neural Methods ACL2018 pdf
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification COLING2018 pdf
Exploring Neural Text Simplification Models ACL2017 pdf
Text Simplification as Tree Labeling ACL2016 pdf
Multilingual Unsupervised Sentence Simplification Arxiv2020 pdf
CUT: Controllable Unsupervised Text Simplification Arxiv2020 pdf
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders AAAI2020 pdf
Zero-Shot Crosslingual Sentence Simplification EMNLP2020 pdf
Unsupervised Neural Text Simplification ACL2019 pdf
Sentence Simplification with Deep Reinforcement Learning EMNLP2017 pdf
Metaphors in Text Simplification:To change or not to change, that is the question ACL2019 pdf
##Controllable Text Simplification
Controllable Text Simplification with Explicit Paraphrasing Arxiv2020 pdf
Controllable Text Simplification with Lexical Constraint Loss ACL2019 pdf
Controllable Sentence Simplification Arxiv2019 pdf
Learning Simplifications for Specific Target Audiences ACL2018 pdf
Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table ACL2019 pdf
Lexi: A tool for adaptive, personalized text simplification ACL2018 pdf
Simple PPDB: A Paraphrase Database for Simplification ACL2016 pdf