Papers with expert mixture

1 papers
A Mixture-of-Experts Model for Antonym-Synonym Discrimination (2021.acl-short)

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Challenge: Anatomy-synonymy discrimination (ASD) is a crucial problem in lexical semantics and is difficult to distinguish between antonyms and synonyms.
Approach: They propose a divide-and-conquer strategy where localized experts focus on their own domains to learn their specialties.
Outcome: The proposed method achieves state-of-the-art performance on the Antonymy-synonymy discrimination task.

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