Papers with predicting typicality scores

1 papers
Exploring Category Structure with Contextual Language Models and Lexical Semantic Networks (2023.eacl-main)

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Challenge: Recent work on word embeddings reports low correlations with human ratings . contextual language models (CLMs) have been successful in acquiring semantic and world knowledge.
Approach: They propose to use BERT to probe contextual language models for predicting typicality scores.
Outcome: The proposed methods improve on previous studies on word embeddings and their ability to predict typicality scores.

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