Graph Convolution Over Multiple Latent Context-Aware Graph Structures for Event Detection

Graph Convolution Over Multiple Latent Context-Aware Graph Structures for Event Detection

Event detection is a particularly challenging problem in information extraction. The current neural network models have proved that dependency tree can better capture the correlation between candidate trigger words and related context in the sentence. However, syntactic information conveyed by the o...

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Bibliographic Details
Main Authors:	Lei Li, Li Jin, Zequn Zhang, Qing Liu, Xian Sun, Hongqi Wang
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Event detection graph convolutional network multi-head attention
Online Access:	https://ieeexplore.ieee.org/document/9200483/

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