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A Template Based Hybrid Model for Chinese Personal Name Disambiguation
Zong Hao; Derek F. Wong; Lidia S. Chao
2012
Conference NameProceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing
Source Publicationthe Second CIPS-SIGHAN Joint Conference on Chinese Language Processing
Pages121–126
Conference Date20-21 DEC. 2012
Conference PlaceTianjin, China
Abstract

This paper proposes a template based hybrid model for Chinese Personal Name Disambiguation (CPND). The template makes use of the features of personal role such as discriminating personal name (nickname, stage name), together with the specific context of most frequent words, personal name nearest words named entities, date and time that are effective for this disambiguation task, as well as surrounding context of nominal, verbal and adjectival constituents. The construction of the templates is automatically derived from the articles that maximizes the deviation of different categories of personal names. The extraction algorithm of keyword features based on the distribution of unlabeled data is also proposed in this paper for this challenging task. In addition, an augmented similarity measure for the CPND model has been designed to calculate the similarity between a standard template and an unlabeled text. The final evaluation reveals that the proposed model can achieve the Fmeasure of 75.75% on the test data.

URLView the original
Indexed By其他
Language英语
Fulltext Access
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationNLP2CT Research Group Department of Computer and Information Science, University of Macau, Macau SAR, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zong Hao,Derek F. Wong,Lidia S. Chao. A Template Based Hybrid Model for Chinese Personal Name Disambiguation[C],2012:121–126.
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