PolyU-CBS at TSAR-2022: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps

Emmanuele Chersoni; Yu Yin Hsu

PolyU-CBS at TSAR-2022: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps

Department of Language Science and Technology

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In this paper, we describe the system we presented at the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) regarding the shared task on Lexical Simplification for English, Portuguese, and Spanish. We proposed an unsupervised approach in two steps: First, we used a masked language model with word masking for each language to extract possible candidates for the replacement of a difficult word; second, we ranked the candidates according to three different Transformer-based metrics. Finally, we determined our list of candidates based on the lowest average rank across different metrics.

Original language	English
Title of host publication	Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
Editors	Sanja Štajner, Horacio Saggion, Daniel Ferrés, Matthew Shardlow, Kim Cheng Sheang, Kai North, Marcos Zampieri, Wei Xu
Publisher	Association for Computational Linguistics (ACL)
Pages	225–230
ISBN (Print)	978-1-959429-25-8
Publication status	Published - Dec 2022
Event	EMNLP Workshop on Workshop on Text Simplification, Accessibility and Readability - Abu Dhabi National Exhibition Center, Abu Dhabi, United Arab Emirates Duration: 8 Dec 2022 → …

Conference

Conference	EMNLP Workshop on Workshop on Text Simplification, Accessibility and Readability
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	8/12/22 → …

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Chersoni, E., & Hsu, Y. Y. (2022). PolyU-CBS at TSAR-2022: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps. In S. Štajner, H. Saggion, D. Ferrés, M. Shardlow, K. C. Sheang, K. North, M. Zampieri, & W. Xu (Eds.), Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) (pp. 225–230). Association for Computational Linguistics (ACL). https://www.researchgate.net/publication/366559314_PolyU-CBS_at_TSAR-2022_A_Simple_Rank-Based_Method_for_Complex_Word_Substitution_in_Two_Steps

Chersoni, Emmanuele ; Hsu, Yu Yin. / PolyU-CBS at TSAR-2022: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps. Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022). editor / Sanja Štajner ; Horacio Saggion ; Daniel Ferrés ; Matthew Shardlow ; Kim Cheng Sheang ; Kai North ; Marcos Zampieri ; Wei Xu. Association for Computational Linguistics (ACL), 2022. pp. 225–230

@inproceedings{7cb66c0f889746e48a9329ef5c6d2f22,

title = "PolyU-CBS at TSAR-2022: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps",

abstract = "In this paper, we describe the system we presented at the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) regarding the shared task on Lexical Simplification for English, Portuguese, and Spanish. We proposed an unsupervised approach in two steps: First, we used a masked language model with word masking for each language to extract possible candidates for the replacement of a difficult word; second, we ranked the candidates according to three different Transformer-based metrics. Finally, we determined our list of candidates based on the lowest average rank across different metrics.",

author = "Emmanuele Chersoni and Hsu, \{Yu Yin\}",

year = "2022",

month = dec,

language = "English",

isbn = "978-1-959429-25-8",

pages = "225–230",

editor = "Sanja {\v S}tajner and Horacio Saggion and Daniel Ferr{\'e}s and Matthew Shardlow and Sheang, \{Kim Cheng\} and Kai North and Marcos Zampieri and Wei Xu",

booktitle = "Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)",

publisher = "Association for Computational Linguistics (ACL)",

note = "EMNLP Workshop on Workshop on Text Simplification, Accessibility and Readability ; Conference date: 08-12-2022",

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Chersoni, E & Hsu, YY 2022, PolyU-CBS at TSAR-2022: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps. in S Štajner, H Saggion, D Ferrés, M Shardlow, KC Sheang, K North, M Zampieri & W Xu (eds), Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022). Association for Computational Linguistics (ACL), pp. 225–230, EMNLP Workshop on Workshop on Text Simplification, Accessibility and Readability, Abu Dhabi, United Arab Emirates, 8/12/22. <https://www.researchgate.net/publication/366559314_PolyU-CBS_at_TSAR-2022_A_Simple_Rank-Based_Method_for_Complex_Word_Substitution_in_Two_Steps>

PolyU-CBS at TSAR-2022: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps. / Chersoni, Emmanuele ; Hsu, Yu Yin.
Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022). ed. / Sanja Štajner; Horacio Saggion; Daniel Ferrés; Matthew Shardlow; Kim Cheng Sheang; Kai North; Marcos Zampieri; Wei Xu. Association for Computational Linguistics (ACL), 2022. p. 225–230.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - In this paper, we describe the system we presented at the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) regarding the shared task on Lexical Simplification for English, Portuguese, and Spanish. We proposed an unsupervised approach in two steps: First, we used a masked language model with word masking for each language to extract possible candidates for the replacement of a difficult word; second, we ranked the candidates according to three different Transformer-based metrics. Finally, we determined our list of candidates based on the lowest average rank across different metrics.

AB - In this paper, we describe the system we presented at the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) regarding the shared task on Lexical Simplification for English, Portuguese, and Spanish. We proposed an unsupervised approach in two steps: First, we used a masked language model with word masking for each language to extract possible candidates for the replacement of a difficult word; second, we ranked the candidates according to three different Transformer-based metrics. Finally, we determined our list of candidates based on the lowest average rank across different metrics.

M3 - Conference article published in proceeding or book

SN - 978-1-959429-25-8

SP - 225

EP - 230

BT - Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)

A2 - Štajner, Sanja

A2 - Saggion, Horacio

A2 - Ferrés, Daniel

A2 - Shardlow, Matthew

A2 - Sheang, Kim Cheng

A2 - North, Kai

A2 - Zampieri, Marcos

A2 - Xu, Wei

PB - Association for Computational Linguistics (ACL)

T2 - EMNLP Workshop on Workshop on Text Simplification, Accessibility and Readability

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ER -

Chersoni E , Hsu YY. PolyU-CBS at TSAR-2022: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps. In Štajner S, Saggion H, Ferrés D, Shardlow M, Sheang KC, North K, Zampieri M, Xu W, editors, Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022). Association for Computational Linguistics (ACL). 2022. p. 225–230

PolyU-CBS at TSAR-2022: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps

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