Papers by Nick Haslam

3 papers
A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications (2024.acl-long)

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Challenge: Historical linguists have identified multiple forms of lexical semantic change.
Approach: They propose a framework for integrating and evaluating lexical semantic changes in historical linguists and a unified computational methodology for evaluating them concurrently.
Outcome: The proposed framework enables lexical semantic change to be mapped economically and systematically and has applications in computational social science.
SenseRel: A Sense-Level Benchmark for Denotational and Connotational Meaning Relations (2026.acl-long)

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Challenge: Polysemy enables a single word to convey multiple related meanings . a word's sense is extended to new contexts and concepts, a process called semantic change is gradual .
Approach: They propose a benchmark for modeling semantic relations between word senses . they use a model that distinguishes denotational and connotationally related aspects of meaning .
Outcome: The proposed model is able to distinguish between denotational and connotationalist aspects of meaning . it is compared with models with GPT-4o, Llama 3.1, and DeepSeek .
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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