Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations

ACL 2018

Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations

Jan 28, 2021
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Abstract: Revealing the implicit semantic relation between the constituents of a noun-compound is important for many NLP applications. It has been addressed in the literature either as a classification task to a set of pre-defined relations or by producing free text paraphrases explicating the relations. Most existing paraphrasing methods lack the ability to generalize, and have a hard time interpreting infrequent or new noun-compounds. We propose a neural model that generalizes better by representing paraphrases in a continuous space, generalizing for both unseen noun-compounds and rare paraphrases. Our model helps improving performance on both the noun-compound paraphrasing and clas-sification tasks. Authors: Vered Shwartz, Ido Dagan (Bar-Ilan University)

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