DocumentCode
3316840
Title
Improving collocation extraction by using syntactic patterns
Author
Xu, Ruifeng ; Lu, Qin
Author_Institution
Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China
fYear
2005
fDate
30 Oct.-1 Nov. 2005
Firstpage
52
Lastpage
57
Abstract
A study on using syntactic patterns to improve window-based collocation extraction systems is presented. The support collocation patterns and reject collocation patterns retrieved from a chunked corpus and are used in two different strategies. The first strategy uses only the support patterns in preprocessing stage whereas the second strategy incorporates both the support and the reject patterns into the existing systems. Experimental results show that the use of syntactic patterns can significantly improve the performance of collocation extraction especially for filtering out pseudo collocations and the extraction of low-occurrence collocations.
Keywords
computational linguistics; feature extraction; natural languages; pattern recognition; low-occurrence collocation; pseudo collocation; syntactic patterns; window-based collocation extraction system; Data mining; Frequency; Magnetic heads; Natural language processing; Natural languages; Statistical analysis; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN
0-7803-9361-9
Type
conf
DOI
10.1109/NLPKE.2005.1598706
Filename
1598706
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