A Novel Feature-based Approach to Chinese Entity Relation Extraction

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.

• Type: Conference
• Year: 2008
• Where: ACL
• Authors: Wenjie Li, Peng Zhang, Furu Wei, Yuexian Hou, Qin Lu
• Keywords: ACL 2008, Computational Linguistics, Relation Extraction, Relation Extraction Approach, Relation Hierarchy