Papers with mention clustering algorithm

1 papers
Active Learning for Coreference Resolution using Discrete Annotation (2020.acl-main)

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Challenge: Exhaustively annotating coreference is expensive as it requires tracking coreference chains across long passages of text.
Approach: They propose a pairwise annotation technique which asks annotators to identify mention antecedents if a presented mention pair is not coreferent.
Outcome: The proposed method is much more efficient when combined with a mention clustering algorithm for selecting which examples to label . future work can use the proposed protocol to develop coreference models for new domains.

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