Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures
Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou · 2019
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.