@inproceedings{a97df5e5ba5f442c8394ef0a6141743b,
title = "Paraphrasing Compound Nominalizations",
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.",
author = "Lee, \{John S.Y.\} and Lim, \{Ho Hung\} and Carol Webster",
note = "Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics; 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021 ; Conference date: 07-11-2021 Through 11-11-2021",
year = "2021",
doi = "10.18653/v1/2021.emnlp-main.632",
language = "English",
series = "EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "8023--8028",
booktitle = "EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings",
address = "United States",
}