---
title: "Workshop on Text Simplification, Accessibility and"
description: "Workshop on Text Simplification, Accessibility and Readability 2022 — accepted papers: 1 paper in the Elamur Research library (Abu Dhabi…"
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# Workshop on Text Simplification, Accessibility and Readability 2022 — accepted papers

Workshop on Text Simplification, Accessibility and Readability 2022 is the 2022 edition of the Workshop on Text Simplification, Accessibility and Readability, held in Abu Dhabi, United Arab Emirates (Virtual), December 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 30 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**30** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/tsar/2022/#works) · [**16** citations of these works](https://md.research.elamur.ai/free/en/venues/tsar/2022/#works)**Abu Dhabi, United Arab Emirates (Virtual)** where it was held**December 2022** when

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification](https://aclanthology.org/2022.tsar-1.31/)**Horacio Saggion, Sanja Štajner, Daniel Ferrés et al.*23 citations*
2. **[UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?](https://aclanthology.org/2022.tsar-1.28/)**Dennis Aumiller, Michael Gertz*15 citations*
3. **[A Benchmark for Neural Readability Assessment of Texts in Spanish](https://aclanthology.org/2022.tsar-1.18/)**Laura 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 models](https://aclanthology.org/2022.tsar-1.10/)**Patrick 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 Simplification](https://aclanthology.org/2022.tsar-1.11/)**Oliver Alonzo, Sooyeon Lee, Mounica Maddela et al.*8 citations*
6. **[Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset](https://aclanthology.org/2022.tsar-1.3/)**Jan 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 Languages](https://aclanthology.org/2022.tsar-1.22/)**Peniel Whistely, Sandeep Mathias, Galiveeti Poornima*7 citations*
8. **[GMU-WLV at TSAR-2022 Shared Task: Evaluating Lexical Simplification Models](https://aclanthology.org/2022.tsar-1.30/)**Kai North, Alphaeus Dmonte, Tharindu Ranasinghe et al.*6 citations*
9. **[(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification](https://aclanthology.org/2022.tsar-1.12/)**Yu 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?](https://aclanthology.org/2022.tsar-1.25/)**Rodrigo Wilkens, David Alfter, Rémi Cardon et al.*5 citations*

## All accepted papers (30)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification](https://aclanthology.org/2022.tsar-1.31/)**Horacio Saggion, Sanja Štajner, Daniel Ferrés et al.*23 citations*
2. **[UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?](https://aclanthology.org/2022.tsar-1.28/)**Dennis Aumiller, Michael Gertz*15 citations*
3. **[A Benchmark for Neural Readability Assessment of Texts in Spanish](https://aclanthology.org/2022.tsar-1.18/)**Laura 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 models](https://aclanthology.org/2022.tsar-1.10/)**Patrick 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 Simplification](https://aclanthology.org/2022.tsar-1.11/)**Oliver Alonzo, Sooyeon Lee, Mounica Maddela et al.*8 citations*
6. **[Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset](https://aclanthology.org/2022.tsar-1.3/)**Jan 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 Languages](https://aclanthology.org/2022.tsar-1.22/)**Peniel Whistely, Sandeep Mathias, Galiveeti Poornima*7 citations*
8. **[GMU-WLV at TSAR-2022 Shared Task: Evaluating Lexical Simplification Models](https://aclanthology.org/2022.tsar-1.30/)**Kai North, Alphaeus Dmonte, Tharindu Ranasinghe et al.*6 citations*
9. **[(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification](https://aclanthology.org/2022.tsar-1.12/)**Yu 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?](https://aclanthology.org/2022.tsar-1.25/)**Rodrigo Wilkens, David Alfter, Rémi Cardon et al.*5 citations*
11. **[MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders](https://aclanthology.org/2022.tsar-1.27/)**Xiaofei Li, Daniel Wiechmann, Yu Qiao et al.*5 citations*
12. **[Controllable Lexical Simplification for English](https://md.research.elamur.ai/free/en/papers/sheang-2022-controllable-lexical-simplification-english/)**Kim Cheng Sheang, Daniel Ferrés, Horacio Saggion*4 citations · our summary*
13. **[Lexically Constrained Decoding with Edit Operation Prediction for Controllable Text Simplification](https://aclanthology.org/2022.tsar-1.13/)**Tatsuya Zetsu, Tomoyuki Kajiwara, Yuki Arase*4 citations*
14. **[RCML at TSAR-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate Ranking](https://aclanthology.org/2022.tsar-1.29/)**Desislava Aleksandrova, Olivier Brochu Dufour*4 citations*
15. **[Revision for Concision: A Constrained Paraphrase Generation Task](https://aclanthology.org/2022.tsar-1.6/)**Wenchuan Mu, Kwan Hui Lim*4 citations*
16. **[Target-Level Sentence Simplification as Controlled Paraphrasing](https://aclanthology.org/2022.tsar-1.4/)**Tannon Kew, Sarah Ebling*4 citations*
17. **[CILS at TSAR-2022 Shared Task: Investigating the Applicability of Lexical Substitution Methods for Lexical Simplification](https://aclanthology.org/2022.tsar-1.21/)**Sandaru Seneviratne, Elena Daskalaki, Hanna Suominen*3 citations*
18. **[Improving Text Simplification with Factuality Error Detection](https://aclanthology.org/2022.tsar-1.16/)**Yuan Ma, Sandaru Seneviratne, Elena Daskalaki*3 citations*
19. **[IrekiaLFes: a New Open Benchmark and Baseline Systems for Spanish Automatic Text Simplification](https://aclanthology.org/2022.tsar-1.8/)**Itziar 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 Speakers](https://aclanthology.org/2022.tsar-1.17/)**Akio Hayakawa, Tomoyuki Kajiwara, Hiroki Ouchi et al.*3 citations*
21. **[An Investigation into the Effect of Control Tokens on Text Simplification](https://aclanthology.org/2022.tsar-1.14/)**Zihao Li, Matthew Shardlow, Saeed Hassan*2 citations*
22. **[Conciseness: An Overlooked Language Task](https://aclanthology.org/2022.tsar-1.5/)**Felix Stahlberg, Aashish Kumar, Chris Alberti et al.*2 citations*
23. **[Controlling Japanese Machine Translation Output by Using JLPT Vocabulary Levels](https://aclanthology.org/2022.tsar-1.7/)**Alberto Poncelas, Ohnmar Htun*2 citations*
24. **[PolyU-CBS at TSAR-2022 Shared Task: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps](https://aclanthology.org/2022.tsar-1.24/)**Emmanuele Chersoni, Yu-Yin Hsu*2 citations*
25. **[The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting](https://aclanthology.org/2022.tsar-1.1/)**Tadashi Nomoto*2 citations*

[See all 30 papers in Workshop on Text Simplification, Accessibility and Readability 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/tsar/2022/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Controllable Lexical Simplification for English](https://md.research.elamur.ai/free/en/papers/sheang-2022-controllable-lexical-simplification-english/) [Workshop on Text Simplification, Accessibility and Readability](https://md.research.elamur.ai/free/en/venues/tsar/)**Kim Cheng Sheang, Daniel Ferrés, Horacio Saggion*2022 · 16 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Daniel Ferrés**1 work here · 16 citations](https://md.research.elamur.ai/free/en/authors/daniel-ferres/) · [🧑‍🔬**Horacio Saggion**1 work here · 16 citations](https://md.research.elamur.ai/free/en/authors/horacio-saggion/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Universitat Pompeu Fabra** Barcelona · Spain 1 work here](https://md.research.elamur.ai/free/en/universities/universitat-pompeu-fabra/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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