Paraphrasing Compound Nominalizations

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
EditorsMarie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih
PublisherAssociation for Computational Linguistics (ACL)
Pages8023–8028
ISBN (Electronic)978-1-955917-09-4, 9781955917094
ISBN (Print)9781955917094
Publication statusPublished - Nov 2021

Publication series

NameEMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings

Conference

Title2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)
LocationOnline & in the Barceló Bávaro Convention Centre
PlaceDominican Republic
CityPunta Cana
Period7 - 11 November 2021

Link(s)

Abstract

A nominalization uses a deverbal noun to describe an event associated with its underlying verb. Commonly found in academic and formal texts, nominalizations can be difficult to interpret because of ambiguous semantic relations between the deverbal noun and its arguments. Our goal is to interpret nominalizations by generating clausal paraphrases. We address compound nominalizations with both nominal and adjectival modifiers, as well as prepositional phrases. In evaluations on a number of unsupervised methods, we obtained the strongest performance by using a pre-trained contextualized language model to re-rank paraphrase candidates identified by a textual entailment model.

Research Area(s)

Citation Format(s)

Paraphrasing Compound Nominalizations. / Lee, John S. Y.; Lim, Ho Hung; Webster, Carol.

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. ed. / Marie-Francine Moens; Xuanjing Huang; Lucia Specia; Scott Wen-tau Yih. Association for Computational Linguistics (ACL), 2021. p. 8023–8028 (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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