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》 资源 》论文》Graph based Neural Networks for Event Factuality Predictionusing Syntactic and Semantic Structures

Graph based Neural Networks for Event Factuality Predictionusing Syntactic and Semantic Structures

2019-09-18 | |  176 |   67 |   0 0 0
Abstract Event factuality prediction (EFP) is the task of assessing the degree to which an event mentioned in a sentence has happened. For this task, both syntactic and semantic information are crucial to identify the important context words. The previous work for EFP has only combined these information in a simple way that cannot fully exploit their coordination. In this work, we introduce a novel graph-based neural network for EFP that can integrate the semantic and syntactic information more effectively. Our experiments demonstrate the advantage of the proposed model for EFP.

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