Papers with role-oriented modular network

1 papers
HMEAE: Hierarchical Modular Event Argument Extraction (D19-1)

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Challenge: Existing event extraction methods classify each argument role independently, ignoring conceptual correlations between different argument roles.
Approach: They propose a Hierarchical Modular Event Argument Extraction model to provide inductive bias from the concept hierarchy of event argument roles.
Outcome: The proposed model outperforms existing methods on real-world datasets and shows that it leverages useful knowledge from the concept hierarchy.

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