Papers with Hierarchical and Bias Tagging Networks

1 papers
Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms (D18-1)

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Challenge: Existing approaches to ACE event detection treat multiple events in one sentence as independent ones and recognize them separately.
Approach: They propose a hierarchical and bias tagging network framework to detect multiple events in one sentence collectively and a gated multi-level attention mechanism to automatically extract and fuse the sentence-level and document-level information.
Outcome: The proposed framework outperforms state-of-the-art methods on a 2005 ACE dataset.

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