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ChainNet: Structured Metaphor and Metonymy in WordNet

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arxiv 2403.20308 v1 pith:SDK3MLY2 submitted 2024-03-29 cs.CL cs.AI

Rowan Hall Maudslay , Simone Teufel , Francis Bond , James Pustejovsky This is my paper · ORCID
classification cs.CLcs.AI
keywords chainnetsensesmetaphormetonymywordwordnetanotherfirst
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The senses of a word exhibit rich internal structure. In a typical lexicon, this structure is overlooked: a word's senses are encoded as a list without inter-sense relations. We present ChainNet, a lexical resource which for the first time explicitly identifies these structures. ChainNet expresses how senses in the Open English Wordnet are derived from one another: every nominal sense of a word is either connected to another sense by metaphor or metonymy, or is disconnected in the case of homonymy. Because WordNet senses are linked to resources which capture information about their meaning, ChainNet represents the first dataset of grounded metaphor and metonymy.

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