Papers by Or Sharir

1 papers
SenseBERT: Driving Some Sense into BERT (2020.acl-main)

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Challenge: Existing approaches for self-supervision operate at word form level, which serves as a surrogate for the underlying semantic content.
Approach: They propose a method to employ weak-supervision directly at the word sense level, without the use of human annotation.
Outcome: The proposed model achieves significantly improved lexical understanding without human annotation on the ‘Word in Context’ task.

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