📰 Workshop on Text Simplification, Accessibility and Readability 2022: all accepted papers

30 papers · the most cited first · ← Workshop on Text Simplification, Accessibility and Readability 2022

1. Findings of the TSAR-2022 Shared Task on Multilingual Lexical SimplificationHoracio Saggion, Sanja Štajner, Daniel Ferrés et al.23 citations
2. UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?Dennis Aumiller, Michael Gertz15 citations
3. A Benchmark for Neural Readability Assessment of Texts in SpanishLaura Vásquez-Rodríguez, Pedro-Manuel Cuenca-Jiménez, Sergio Morales-Esquivel et al.10 citations
4. Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence modelsPatrick Haller, Andreas Säuberli, Sarah Kiener et al.10 citations
5. A Dataset of Word-Complexity Judgements from Deaf and Hard-of-Hearing Adults for Text SimplificationOliver Alonzo, Sooyeon Lee, Mounica Maddela et al.8 citations
6. Patient-friendly Clinical Notes: Towards a new Text Simplification DatasetJan Trienes, Jörg Schlötterer, Hans-Ulrich Schildhaus et al.8 citations
7. PresiUniv at TSAR-2022 Shared Task: Generation and Ranking of Simplification Substitutes of Complex Words in Multiple LanguagesPeniel Whistely, Sandeep Mathias, Galiveeti Poornima7 citations
8. GMU-WLV at TSAR-2022 Shared Task: Evaluating Lexical Simplification ModelsKai North, Alphaeus Dmonte, Tharindu Ranasinghe et al.6 citations
9. (Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text SimplificationYu Qiao, Xiaofei Li, Daniel Wiechmann et al.5 citations
10. CENTAL at TSAR-2022 Shared Task: How Does Context Impact BERT-Generated Substitutions for Lexical Simplification?Rodrigo Wilkens, David Alfter, Rémi Cardon et al.5 citations
11. MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained EncodersXiaofei Li, Daniel Wiechmann, Yu Qiao et al.5 citations
12. Controllable Lexical Simplification for EnglishKim Cheng Sheang, Daniel Ferrés, Horacio Saggion4 citations · our summary
13. Lexically Constrained Decoding with Edit Operation Prediction for Controllable Text SimplificationTatsuya Zetsu, Tomoyuki Kajiwara, Yuki Arase4 citations
14. RCML at TSAR-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate RankingDesislava Aleksandrova, Olivier Brochu Dufour4 citations
15. Revision for Concision: A Constrained Paraphrase Generation TaskWenchuan Mu, Kwan Hui Lim4 citations
16. Target-Level Sentence Simplification as Controlled ParaphrasingTannon Kew, Sarah Ebling4 citations
17. CILS at TSAR-2022 Shared Task: Investigating the Applicability of Lexical Substitution Methods for Lexical SimplificationSandaru Seneviratne, Elena Daskalaki, Hanna Suominen3 citations
18. Improving Text Simplification with Factuality Error DetectionYuan Ma, Sandaru Seneviratne, Elena Daskalaki3 citations
19. IrekiaLFes: a New Open Benchmark and Baseline Systems for Spanish Automatic Text SimplificationItziar Gonzalez-Dios, Iker Gutiérrez-Fandiño, Oscar M. Cumbicus-Pineda et al.3 citations
20. JADES: New Text Simplification Dataset in Japanese Targeted at Non-Native SpeakersAkio Hayakawa, Tomoyuki Kajiwara, Hiroki Ouchi et al.3 citations
21. An Investigation into the Effect of Control Tokens on Text SimplificationZihao Li, Matthew Shardlow, Saeed Hassan2 citations
22. Conciseness: An Overlooked Language TaskFelix Stahlberg, Aashish Kumar, Chris Alberti et al.2 citations
23. Controlling Japanese Machine Translation Output by Using JLPT Vocabulary LevelsAlberto Poncelas, Ohnmar Htun2 citations
24. PolyU-CBS at TSAR-2022 Shared Task: A Simple, Rank-Based Method for Complex Word Substitution in Two StepsEmmanuele Chersoni, Yu-Yin Hsu2 citations
25. The Fewer Splits are Better: Deconstructing Readability in Sentence SplittingTadashi Nomoto2 citations
26. UoM&MMU at TSAR-2022 Shared Task: Prompt Learning for Lexical SimplificationLaura Vásquez-Rodríguez, Nhung T. H. Nguyen, Matthew Shardlow et al.2 citations
27. Divide-and-Conquer Text Simplification by Scalable Data EnhancementSanqiang Zhao, Rui Meng, Hui Su et al.1 citation
28. Parallel Corpus Filtering for Japanese Text SimplificationKoki Hatagaki, Tomoyuki Kajiwara, Takashi Ninomiya1 citation
29. teamPN at TSAR-2022 Shared Task: Lexical Simplification using Multi-Level and Modular ApproachNikita Katyal, Pawan Kumar Rajpoot1 citation
30. Lexical Simplification in Foreign Language Learning: Creating Pedagogically Suitable Simplified Example SentencesJasper Degraeuwe, Horacio Saggion

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/tsar/2022/papers/