Paper: A Novel Feature-based Approach to Chinese Entity Relation Extraction

ACL ID P08-2023
Title A Novel Feature-based Approach to Chinese Entity Relation Extraction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2008
Authors

Relation extraction is the task of finding semantic relations between two entities from text. In this paper, we propose a novel feature-based Chinese relation extraction approach that explicitly defines and explores nine positional structures between two entities. We also suggest some correction and inference mechanisms based on relation hierarchy and co-reference information etc. The approach is effective when evaluated on the ACE 2005 Chinese data set.