A novel feature-based approach to Chinese entity relation extraction

Authors:
Wenjie Li;Peng Zhang;Furu Wei;Yuexian Hou;Qin Lu
Affiliations:
The Hong Kong Polytechnic University, Hong Kong;The Hong Kong Polytechnic University, Hong Kong and Tianjin University, China;The Hong Kong Polytechnic University, Hong Kong;Tianjin University, China;The Hong Kong Polytechnic University, Hong Kong
Venue:
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Year:
2008

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Abstract

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.