Jeffrey Ling

Matching the Blanks: Distributional Similarity for Relation Learning

2019

General purpose relation extractors, which can model arbitrary relations, are a core aspiration in information extraction. Efforts have been made to build general purpose extractors that represent relations with their surface forms, or which jointly …