Papers with LSC-Eval

1 papers
LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data (2025.findings-acl)

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Challenge: Existing methods for measuring Lexical Semantic Change are lacking historical benchmarks.
Approach: They propose a three-stage general-purpose evaluation framework that simulates theory-driven LSC using In-Context Learning and a lexical database.
Outcome: The proposed framework evaluates the sensitivity of computational methods to synthetic change and their suitability for detecting change in specific dimensions and domains.

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