Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures

Code

• github.com/Yottaxx/T-LSTM
  pytorch★ 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.

Tasks

Reproductions