Recursive Context-Aware Lexical Simplification

Sian Gooding; Ekaterina Kochmar

Recursive Context-Aware Lexical Simplification

Sian Gooding
, Ekaterina Kochmar

Department of Computer Science

University of Cambridge

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

30 Citations (SciVal)

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 language	English
Title of host publication	Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019
Publisher	ACLWEB.ORG
Pages	4853-4863
Number of pages	10
Publication status	Published - 3 Nov 2019
Event	Proceedings 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 2019 → 7 Nov 2019 https://2019.emnlp.org

Conference

Conference	Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing
Abbreviated title	EMNLP-IJCNLP 2019
Country/Territory	China
City	Hong Kong
Period	3/11/19 → 7/11/19
Internet address	https://2019.emnlp.org

Access to Document

https://www.aclweb.org/anthology/D19-1491.pdfLicence: CC BY

Cite this

Recursive Context-Aware Lexical Simplification. / Gooding, Sian; Kochmar, Ekaterina.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019. ACLWEB.ORG, 2019. p. 4853-4863.

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Gooding, S & Kochmar, E 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 2019. ACLWEB.ORG, pp. 4853-4863, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, Hong Kong, China, 3/11/19. <https://www.aclweb.org/anthology/D19-1491.pdf>

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AB - 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.

M3 - Chapter in a published conference proceeding

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Y2 - 3 November 2019 through 7 November 2019

ER -

Recursive Context-Aware Lexical Simplification

Abstract

Conference

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