Recursive Context-Aware Lexical Simplification

Sian Gooding, Ekaterina Kochmar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019
PublisherACLWEB.ORG
Pages4853-4863
Number of pages10
Publication statusPublished - 3 Nov 2019
EventProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 - Hong Kong, Hong Kong, China
Duration: 3 Nov 20197 Nov 2019
https://2019.emnlp.org

Conference

ConferenceProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing
Abbreviated titleEMNLP-IJCNLP 2019
Country/TerritoryChina
CityHong Kong
Period3/11/197/11/19
Internet address

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