Papers by Sakae Mizuki

1 papers
Semantic Specialization for Knowledge-based Word Sense Disambiguation (2023.eacl-main)

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Challenge: Existing methods for knowledge-based Word Sense Disambiguation (WSD) use only lexical knowledge to adapt contextualized embeddings.
Approach: They propose a semantic specialization where contextualized embeddings are adapted to the WSD task using only lexical knowledge.
Outcome: The proposed method outperforms previous studies that adapt contextualized embeddings while controlling deviations from the original embeddables.

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