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cs.CL2024★ 1 cited
Identifying and interpreting non-aligned human conceptual representations using language modeling
Wanqian Bao, Uri Hasson
The question of whether people's experience in the world shapes conceptual representation and lexical semantics is longstanding. Word-association, feature-listing and similarity ra…
cs.CL2023★ 1 cited
Enhancing Interpretability using Human Similarity Judgements to Prune Word Embeddings
Natalia Flechas Manrique, Wanqian Bao, Aurelie Herbelot +1
Interpretability methods in NLP aim to provide insights into the semantics underlying specific system architectures. Focusing on word embeddings, we present a supervised-learning m…