Recursive Context-Aware Lexical Simplification

Sian Gooding, Ekaterina Kochmar


Abstract
This paper presents a novel architecture for recursive context-aware lexical simplification, REC-LS, that is capable of (1) making use of the wider context when detecting the words in need of simplification and suggesting alternatives, and (2) taking previous simplification steps into account. We show that our system outputs lexical simplifications that are grammatically correct and semantically appropriate, and outperforms the current state-of-the-art systems in lexical simplification.
Anthology ID:
D19-1491
Volume:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Month:
November
Year:
2019
Address:
Hong Kong, China
Editors:
Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan
Venues:
EMNLP | IJCNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
4853–4863
Language:
URL:
https://aclanthology.org/D19-1491
DOI:
10.18653/v1/D19-1491
Bibkey:
Cite (ACL):
Sian Gooding and Ekaterina Kochmar. 2019. Recursive Context-Aware Lexical Simplification. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 4853–4863, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
Recursive Context-Aware Lexical Simplification (Gooding & Kochmar, EMNLP-IJCNLP 2019)
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PDF:
https://aclanthology.org/D19-1491.pdf
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