Automatic Nominalization of Clauses through Textual Entailment

John S. Y. Lee; Ho Hung Lim; Carol Webster; Anton Melser

Automatic Nominalization of Clauses through Textual Entailment

John S. Y. Lee, Ho Hung Lim, Carol Webster, Anton Melser

Department of Linguistics and Translation

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Abstract

Nominalization re-writes a clause as a noun phrase. It requires the transformation of the head verb of the clause into a deverbal noun, and the verb’s modifiers into nominal modifiers. Past research has focused on the selection of deverbal nouns, but has paid less attention to the word order and word forms for the nominal modifiers. We propose using a textual entailment model for clause nominalization. Experimental results show that a textual entailment model fine-tuned on this task outperforms a number of unsupervised approaches using language model scores. © 2022 Proceedings - International Conference on Computational Linguistics, COLING.

Original language	English
Title of host publication	Proceedings of the 29th International Conference on Computational Linguistics
Publisher	International Committee on Computational Linguistics
Pages	6002-6006
Publication status	Published - Oct 2022
Event	29th International Conference on Computational Linguistics (COLING 2022) - https://coling2022.org/, Gyeongju, Korea, Republic of Duration: 12 Oct 2022 → 17 Oct 2022

Publication series

Name	Proceedings - International Conference on Computational Linguistics, COLING
Number	1
Volume	29
ISSN (Print)	2951-2093

Conference

Conference	29th International Conference on Computational Linguistics (COLING 2022)
Abbreviated title	COLING’2022
Country/Territory	Korea, Republic of
City	Gyeongju
Period	12/10/22 → 17/10/22

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This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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https://aclanthology.org/2022.coling-1.524/

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Lee, J. S. Y., Lim, H. H., Webster, C., & Melser, A. (2022). Automatic Nominalization of Clauses through Textual Entailment. In Proceedings of the 29th International Conference on Computational Linguistics (pp. 6002-6006). (Proceedings - International Conference on Computational Linguistics, COLING; Vol. 29, No. 1). International Committee on Computational Linguistics. https://aclanthology.org/2022.coling-1.524/

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title = "Automatic Nominalization of Clauses through Textual Entailment",

abstract = "Nominalization re-writes a clause as a noun phrase. It requires the transformation of the head verb of the clause into a deverbal noun, and the verb{\textquoteright}s modifiers into nominal modifiers. Past research has focused on the selection of deverbal nouns, but has paid less attention to the word order and word forms for the nominal modifiers. We propose using a textual entailment model for clause nominalization. Experimental results show that a textual entailment model fine-tuned on this task outperforms a number of unsupervised approaches using language model scores. {\textcopyright} 2022 Proceedings - International Conference on Computational Linguistics, COLING.",

author = "Lee, {John S. Y.} and Lim, {Ho Hung} and Carol Webster and Anton Melser",

year = "2022",

month = oct,

language = "English",

series = "Proceedings - International Conference on Computational Linguistics, COLING",

publisher = "International Committee on Computational Linguistics",

number = "1",

pages = "6002--6006",

booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",

note = "29th International Conference on Computational Linguistics (COLING 2022), COLING{\textquoteright}2022 ; Conference date: 12-10-2022 Through 17-10-2022",

}

Lee, JSY, Lim, HH, Webster, C & Melser, A 2022, Automatic Nominalization of Clauses through Textual Entailment. in Proceedings of the 29th International Conference on Computational Linguistics. Proceedings - International Conference on Computational Linguistics, COLING, no. 1, vol. 29, International Committee on Computational Linguistics, pp. 6002-6006, 29th International Conference on Computational Linguistics (COLING 2022), Gyeongju, Korea, Republic of, 12/10/22. <https://aclanthology.org/2022.coling-1.524/>

Automatic Nominalization of Clauses through Textual Entailment. / Lee, John S. Y.; Lim, Ho Hung; Webster, Carol et al.
Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2022. p. 6002-6006 (Proceedings - International Conference on Computational Linguistics, COLING; Vol. 29, No. 1).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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T1 - Automatic Nominalization of Clauses through Textual Entailment

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AU - Lim, Ho Hung

AU - Webster, Carol

AU - Melser, Anton

PY - 2022/10

Y1 - 2022/10

N2 - Nominalization re-writes a clause as a noun phrase. It requires the transformation of the head verb of the clause into a deverbal noun, and the verb’s modifiers into nominal modifiers. Past research has focused on the selection of deverbal nouns, but has paid less attention to the word order and word forms for the nominal modifiers. We propose using a textual entailment model for clause nominalization. Experimental results show that a textual entailment model fine-tuned on this task outperforms a number of unsupervised approaches using language model scores. © 2022 Proceedings - International Conference on Computational Linguistics, COLING.

AB - Nominalization re-writes a clause as a noun phrase. It requires the transformation of the head verb of the clause into a deverbal noun, and the verb’s modifiers into nominal modifiers. Past research has focused on the selection of deverbal nouns, but has paid less attention to the word order and word forms for the nominal modifiers. We propose using a textual entailment model for clause nominalization. Experimental results show that a textual entailment model fine-tuned on this task outperforms a number of unsupervised approaches using language model scores. © 2022 Proceedings - International Conference on Computational Linguistics, COLING.

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T3 - Proceedings - International Conference on Computational Linguistics, COLING

SP - 6002

EP - 6006

BT - Proceedings of the 29th International Conference on Computational Linguistics

PB - International Committee on Computational Linguistics

T2 - 29th International Conference on Computational Linguistics (COLING 2022)

Y2 - 12 October 2022 through 17 October 2022

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Automatic Nominalization of Clauses through Textual Entailment

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