Apr 11, 2023 · 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 ...

May 31, 2023 · Summary: This work proposes a new method for combining human effort and LLM behavior to more efficiently generate semantic feature norm. By ...

Apr 11, 2023 · The current work uses two common techniques borrowed from cognitive psychology to estimate and compare lexical-semantic structure in both humans ...

Semantic feature norms, lists of features that concepts do and do not possess, have played a central role in characterizing human conceptual knowledge, ...

Oct 7, 2023 · Scientific paper: Human-machine cooperation for semantic feature listing Abstract: Semantic feature norms, lists of features that concepts ...

Human-machine cooperation for semantic feature listing. SS Kushin Mukherjee, TT Rogers. arXiv preprint arXiv:2304.05012, 2023. 2, 2023. Color-concept ...

Semantic feature norms — lists of features that concepts do and do not possess. — have played a central role in characterizing human conceptual knowledge,.

This study evaluates the potential of a large language model for aiding in generation of semantic feature norms - a critical tool for evaluating conceptual ...

Scientific paper: Human-machine cooperation for semantic feature listing Abstract: Semantic feature norms, lists of features that concepts do and do not ...

Human-machine cooperation for semantic feature listing. K Mukherjee, S Suresh, TT Rogers. Tiny Papers @ ICLR 2023, 2023. 2023. Visual memory for causal and ...