Papers with cross-document and

1 papers
Pairwise Representation Learning for Event Coreference (2022.starsem-1)

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Challenge: Existing work induces mention representations independently by extracting features from the sentence that contains the mention, without using the context of the other mention.
Approach: They propose a Pairwise Representation Learning scheme for the event mention pairs that jointly encodes a pair of text snippets so that the representation of each mention in the pair is induced in the context of the other one.
Outcome: The proposed scheme outperforms state-of-the-art representations on cross-document and within-document benchmarks.

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