Chinese Named Entity and Relation Identification System. Yao, T. & Uszkoreit, H. Computational Linguistics, Association for Computational Linguistics, 2006.
Chinese Named Entity and Relation Identification System [link]Website  abstract   bibtex   
In this interactive presentation, a Chinese named entity and relation identification system is demonstrated. The domain-specific system has a three-stage pipeline architecture which includes word segmentation and part-of-speech (POS) tagging, named entity recognition, and named entity relation identitfication. The experimental results have shown that the average F-measure for word segmentation and POS tagging after correcting errors achieves 92.86 and 90.01 separately. Moreover, the overall average F-measure for 6 kinds of name entities and 14 kinds of named entity relations is 83.08% and 70.46% respectively.
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 title = {Chinese Named Entity and Relation Identification System},
 type = {article},
 year = {2006},
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 pages = {37-40},
 websites = {http://portal.acm.org/citation.cfm?doid=1225403.1225413},
 publisher = {Association for Computational Linguistics},
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 abstract = {In this interactive presentation, a Chinese named entity and relation identification system is demonstrated. The domain-specific system has a three-stage pipeline architecture which includes word segmentation and part-of-speech (POS) tagging, named entity recognition, and named entity relation identitfication. The experimental results have shown that the average F-measure for word segmentation and POS tagging after correcting errors achieves 92.86 and 90.01 separately. Moreover, the overall average F-measure for 6 kinds of name entities and 14 kinds of named entity relations is 83.08% and 70.46% respectively.},
 bibtype = {article},
 author = {Yao, Tianfang and Uszkoreit, Hans},
 journal = {Computational Linguistics},
 number = {July}
}
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