@inproceedings{lee-etal-2021-paraphrasing,
title = "Paraphrasing Compound Nominalizations",
author = "Lee, John and
Lim, Ho Hung and
Webster, Carol",
editor = "Moens, Marie-Francine and
Huang, Xuanjing and
Specia, Lucia and
Yih, Scott Wen-tau",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2021",
address = "Online and Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-main.632",
doi = "10.18653/v1/2021.emnlp-main.632",
pages = "8023--8028",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Paraphrasing Compound Nominalizations
%A Lee, John
%A Lim, Ho Hung
%A Webster, Carol
%Y Moens, Marie-Francine
%Y Huang, Xuanjing
%Y Specia, Lucia
%Y Yih, Scott Wen-tau
%S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online and Punta Cana, Dominican Republic
%F lee-etal-2021-paraphrasing
%X 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.
%R 10.18653/v1/2021.emnlp-main.632
%U https://aclanthology.org/2021.emnlp-main.632
%U https://doi.org/10.18653/v1/2021.emnlp-main.632
%P 8023-8028
Markdown (Informal)
[Paraphrasing Compound Nominalizations](https://aclanthology.org/2021.emnlp-main.632) (Lee et al., EMNLP 2021)
ACL
- John Lee, Ho Hung Lim, and Carol Webster. 2021. Paraphrasing Compound Nominalizations. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 8023–8028, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.