Open Domain Event Extraction Using Neural Latent Variable Models

ACL 2019

Open Domain Event Extraction Using Neural Latent Variable Models

Jan 30, 2021
|
44 views
|
Details
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. Authors: Xiao Liu, Heyan Huang, Yue Zhang (Beijing Institute of Technology, Zhejiang Lab, Westlake University)

Comments
loading...