Papers with multiscale modeling

1 papers
Document-Level N-ary Relation Extraction with Multiscale Representation Learning (N19-1)

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Challenge: Existing work on cross-sentence relation extraction is limited to three consecutive sentences, which severely limits recall.
Approach: They propose a multiscale neural architecture for document-level n-ary relation extraction that combines representations learned over various text spans throughout the document and across the subrelation hierarchy.
Outcome: The proposed system outperforms existing methods on biomedical machine reading.

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