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.
Supported by National Natural Science Foundation of China (No.60473138, 60173005)
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Wang, H. (2005). Cross-Document Transliterated Personal Name Coreference Resolution. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_2
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DOI: https://doi.org/10.1007/11540007_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28331-7
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