@inproceedings{aleksandrova-brochu-dufour-2022-rcml,
title = "{RCML} at {TSAR}-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate Ranking",
author = "Aleksandrova, Desislava and
Brochu Dufour, Olivier",
editor = "{\v{S}}tajner, Sanja and
Saggion, Horacio and
Ferr{\'e}s, Daniel and
Shardlow, Matthew and
Sheang, Kim Cheng and
North, Kai and
Zampieri, Marcos and
Xu, Wei",
booktitle = "Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates (Virtual)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.tsar-1.29",
doi = "10.18653/v1/2022.tsar-1.29",
pages = "259--263",
abstract = "This paper describes the lexical simplification system RCML submitted to the English language track of the TSAR-2022 Shared Task. The system leverages a pre-trained language model to generate contextually plausible substitution candidates which are then ranked according to their simplicity as well as their grammatical and semantic similarity to the target complex word. Our submissions secure 6th and 7th places out of 33, improving over the SOTA baseline for 27 out of the 51 metrics.",
}
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<abstract>This paper describes the lexical simplification system RCML submitted to the English language track of the TSAR-2022 Shared Task. The system leverages a pre-trained language model to generate contextually plausible substitution candidates which are then ranked according to their simplicity as well as their grammatical and semantic similarity to the target complex word. Our submissions secure 6th and 7th places out of 33, improving over the SOTA baseline for 27 out of the 51 metrics.</abstract>
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%0 Conference Proceedings
%T RCML at TSAR-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate Ranking
%A Aleksandrova, Desislava
%A Brochu Dufour, Olivier
%Y Štajner, Sanja
%Y Saggion, Horacio
%Y Ferrés, Daniel
%Y Shardlow, Matthew
%Y Sheang, Kim Cheng
%Y North, Kai
%Y Zampieri, Marcos
%Y Xu, Wei
%S Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Virtual)
%F aleksandrova-brochu-dufour-2022-rcml
%X This paper describes the lexical simplification system RCML submitted to the English language track of the TSAR-2022 Shared Task. The system leverages a pre-trained language model to generate contextually plausible substitution candidates which are then ranked according to their simplicity as well as their grammatical and semantic similarity to the target complex word. Our submissions secure 6th and 7th places out of 33, improving over the SOTA baseline for 27 out of the 51 metrics.
%R 10.18653/v1/2022.tsar-1.29
%U https://aclanthology.org/2022.tsar-1.29
%U https://doi.org/10.18653/v1/2022.tsar-1.29
%P 259-263
Markdown (Informal)
[RCML at TSAR-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate Ranking](https://aclanthology.org/2022.tsar-1.29) (Aleksandrova & Brochu Dufour, TSAR 2022)
ACL