Papers with extracting unconstraint types of events

1 papers
Open Domain Event Extraction Using Neural Latent Variable Models (P19-1)

Copied to clipboard

Challenge: Existing work on extracting events from news documents focuses on a set of pre-specified event types.
Approach: They propose a latent variable neural model which is scalable to large corpus.
Outcome: The proposed model performs better than the state-of-the-art method for event schema induction.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations