Cross-document transliterated personal name coreference resolution

Authors:
Houfeng Wang
Affiliations:
Department of Computer Science and Technology, School of Electronic Engineering and Computer Science, Peking University, Beijing, China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

Citing 3
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Abstract

This paper presents a two-step approach to determining whether a transliterated personal name from different Chinese texts stands for the same referent. A heuristic strategy based on biographical information and “colleague” names is firstly used to form an initial set of coreference chains, and then, a clustering algorithm based Vector Space Model (VSM) is applied to merge chains under the control of a full name consistent constraint. Experimental results show that this approach achieves a good performance.