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New Technology of Library and Information Service  2010, Vol. 26 Issue (11): 64-68    DOI: 10.11925/infotech.1003-3513.2010.11.10
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Chinese People Name Disambiguation by Hierarchical Clustering
Zhang Shunrui, You Hongliang
China Defense Science & Technology Information Center, Beijing 100142, China
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This paper works on the task of Chinese people name disambiguation by hierarchical clustering algorithm, and proposes several good features for the task by experiments. The authors apply TF to calculate feature weight, and get better results after using artificial rules designed for extracting people name from documents. Finally, an average F-value(α=0.5) of 88.15% is achieved in the test of the corpus containing 191 ambiguous names.

Key wordsPeople name disambiguation      Hierarchical clustering      Vector space model     
Received: 29 September 2010      Published: 04 January 2011



Cite this article:

Zhang Shunrui, You Hongliang. Chinese People Name Disambiguation by Hierarchical Clustering. New Technology of Library and Information Service, 2010, 26(11): 64-68.

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