Papers by Xiangbin Meng

1 papers
Event Detection with Multi-Order Graph Convolution and Aggregated Attention (D19-1)

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Challenge: Existing methods for event detection use first-order syntactic relations to identify trigger words.
Approach: They propose a dependency tree-based method to model and aggregate multi-order syntactic representations in sentences.
Outcome: The proposed method outperforms existing methods on a benchmark dataset . it uses a dependency tree based graph convolution network with aggregative attention .

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