Papers by Erika Petersen

1 papers
Lexical Semantics with Large Language Models: A Case Study of English “break” (2023.findings-eacl)

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Challenge: Large neural language models (LLMs) can be powerful tools for research in lexical semantics.
Approach: They argue that large neural language models can be powerful tools for research in lexical semantics by capturing known sense distinctions and identifying informative new sense combinations.
Outcome: The proposed models capture many of the sense distinctions found in the English verb break and can be used to identify informative new sense combinations for further analysis.

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