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@article{
 title = {Chinese Named Entity and Relation Identification System},
 type = {article},
 year = {2006},
 identifiers = {[object Object]},
 pages = {37-40},
 websites = {http://portal.acm.org/citation.cfm?doid=1225403.1225413},
 publisher = {Association for Computational Linguistics},
 id = {7109c4e0-0a36-31b1-9c9e-0248d4de3c25},
 created = {2011-12-29T19:53:53.000Z},
 file_attached = {false},
 profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2017-03-14T14:36:19.698Z},
 tags = {named entities},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Yao2006},
 private_publication = {false},
 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}
}