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Unsupervised Discovery of Unaccusative and Unergative Verbs

arXiv 2111.00808 ↗First posted 1 Nov 2021cs.CLcited by 1

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Abstract (arXiv)

We present an unsupervised method to detect English unergative and unaccusative verbs. These categories allow us to identify verbs participating in the causative-inchoative alternation without knowing the semantic roles of the verb. The method is based on the generation of intransitive sentence variants of candidate verbs and probing a language model. We obtained results on par with similar approaches, with the added benefit of not relying on annotated resources.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 24 references that are in the map. First posted on arXiv 1 Nov 2021.

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References · 2

  1. 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 723
  2. 2018Verb Argument Structure Alternations in Word and Sentence Embeddingscited by 25

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  1. 2023How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structurecited by 13