Open Domain Event Extraction Using Neural Latent Variable Models

Code

• github.com/lx865712528/ACL2019-ODEE
  OfficialIn paperpytorch★ 0

Abstract

We consider open domain event extraction, the task of extracting unconstraint types of events from news clusters. A novel latent variable neural model is constructed, which is scalable to very large corpus. A dataset is collected and manually annotated, with task-specific evaluation metrics being designed. Results show that the proposed unsupervised model gives better performance compared to the state-of-the-art method for event schema induction.

Tasks

Reproductions