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

Emmanuele Chersoni, Yu-Yin Hsu


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.
Anthology ID:
2022.tsar-1.24
Volume:
Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates (Virtual)
Editors:
Sanja Štajner, Horacio Saggion, Daniel Ferrés, Matthew Shardlow, Kim Cheng Sheang, Kai North, Marcos Zampieri, Wei Xu
Venue:
TSAR
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
225–230
Language:
URL:
https://aclanthology.org/2022.tsar-1.24
DOI:
10.18653/v1/2022.tsar-1.24
Bibkey:
Cite (ACL):
Emmanuele Chersoni and Yu-Yin Hsu. 2022. PolyU-CBS at TSAR-2022 Shared Task: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps. In Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), pages 225–230, Abu Dhabi, United Arab Emirates (Virtual). Association for Computational Linguistics.
Cite (Informal):
PolyU-CBS at TSAR-2022 Shared Task: A Simple, Rank-Based Method for Complex Word Substitution in Two Steps (Chersoni & Hsu, TSAR 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.tsar-1.24.pdf