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arXiv · 2304.05012

Human-machine cooperation for semantic feature listing

Kushin Mukherjee·Siddharth Suresh·Timothy T. Rogers
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Abstract

Semantic feature norms, lists of features that concepts do and do not possess, have played a central role in characterizing human conceptual knowledge, but require extensive human labor. Large language models (LLMs) offer a novel avenue for the automatic generation of such feature lists, but are prone to significant error. Here, we present a new method for combining a learned model of human lexical-semantics from limited data with LLM-generated data to efficiently generate high-quality feature norms.

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Kushin Mukherjee, Siddharth Suresh, Timothy T. Rogers. 2023-04-11. Human-machine cooperation for semantic feature listing. https://arxiv.org/abs/2304.05012

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