early results for chinese named entity recognition using conditional     random fields model, hmm and maximum entropy

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	early results for chinese named entity recognition using conditional random fields model, hmm and maximum entropy
	Feng YY ; Sun L ; Zhang JL
	2005
会议名称	International Conference on Natural Language Processing and Knowledge Engineering
会议日期	OCT 30-NOV
会议地点	Wuhan, PEOPLES R CHINA
关键词	Data structures Glossaries Information retrieval Markov processes Mathematical models Pattern recognition Text processing
页码	549-552
英文摘要	Named Entity Recognition (NER) is an important step for many natural language applications, such as information extraction, text summarization, and question answering. Chinese NER has some special characteristics that make this task difficult.
收录类别	ISTP ; EI
会议主办者	IEEE, AAI, CIPSC, Chinese Assoc Artificial Intelligence, IEEE Signal Proc Soc, IEEE Beijing Sect
会议录	Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
会议录出版者	Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE05)
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
ISBN号	0-7803-9361-9
内容类型	会议论文
源URL	[http://124.16.136.157/handle/311060/12564]
专题	软件研究所_软件所图书馆_会议论文
推荐引用方式 GB/T 7714	Feng YY,Sun L,Zhang JL. early results for chinese named entity recognition using conditional random fields model, hmm and maximum entropy[C]. 见:International Conference on Natural Language Processing and Knowledge Engineering. Wuhan, PEOPLES R CHINA. OCT 30-NOV.