Papers with CEAFE

1 papers
Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering (D19-57)

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Challenge: Existing systems for coreference resolution are difficult because of their long coreferent chains.
Approach: They propose to use an existing span-based neural coreference resolution system as a baseline . they filter noisy mentions based on parse trees and integrate a highly expressive language model into the system .
Outcome: The proposed system outperforms the baseline system on the CRAFT Shared Tasks 2019 task.

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