Lexical Semantics with Large Language Models: A Case Study of English “break”
Erika Petersen,
Christopher Potts
Abstract:Large neural language models (LLMs) can be powerful tools for research in lexical semantics. We illustrate this potential using the English verb break, which has numerous senses and appears in a wide range of syntactic frames. We show that LLMs capture known sense distinctions and can be used to identify informative new sense combinations for further analysis. More generally, we argue that LLMs are aligned with lexical semantic theories in providing high-dimensional, contextually modulated representations, but… Show more
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