Word Confusion measures semantic similarity as classifier confusion between contextual embeddings, matching human judgments as well as or better than cosine similarity, and enables analyst-chosen feature dimensions.
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Rethinking Word Similarity: Semantic Similarity through Classification Confusion
Word Confusion measures semantic similarity as classifier confusion between contextual embeddings, matching human judgments as well as or better than cosine similarity, and enables analyst-chosen feature dimensions.