DocumentCode
2352900
Title
Automatic Chinese Multi-word Term Extraction
Author
Narisong ; Feng, Zhiwei ; Kit, Chunyu
Author_Institution
Hangzhou Normal Univ., Hangzhou
fYear
2008
fDate
23-25 July 2008
Firstpage
181
Lastpage
184
Abstract
We present a new method that extracts multi-word terms through two steps. As input, our technique requires only part of speech tagged texts and a handful of seed words. We use an automatic learning algorithm to select the best extraction single-word terms and take these extraction results of single-word terms as term parts of the multi-word terms to extraction the multi-word terms, the experiment obtains the very well result.
Keywords
knowledge acquisition; natural language processing; Chinese multiword term extraction; automatic learning algorithm; part-of-speech tagged text; single-word term; Data mining; Dictionaries; Information entropy; Information technology; Law; Legal factors; Machine learning algorithms; Mutual information; Natural languages; Tagging; bootstrapping; legal term; multi-word term extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Language Processing and Web Information Technology, 2008. ALPIT '08. International Conference on
Conference_Location
Dalian Liaoning
Print_ISBN
978-0-7695-3273-8
Type
conf
DOI
10.1109/ALPIT.2008.111
Filename
4584363
Link To Document