Papers with mention representation

2 papers
Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information (2024.lrec-main)

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Challenge: Existing cross-document event coreference resolution models lack the ability to capture long-distance dependencies.
Approach: They propose to construct document-level Rhetorical Structure Theory trees and cross-document Lexical Chains to model structural and semantic information of documents.
Outcome: The proposed model outperforms baseline models on English and Chinese datasets by large margins.
Pre-training Mention Representations in Coreference Models (2020.emnlp-main)

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Challenge: Existing methods to improve coreference resolution use labeled data.
Approach: They propose two self-supervised tasks that are closely related to coreference resolution to improve mention representation.
Outcome: The proposed models improve mention representations by learning them on a GAP dataset.

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