Automatic Extraction of Domain-Specific Terms

Abstract:

Automatic extraction of domain-specific terms improves the efficiency of management staff. This paper proposes a variance-based method to extract candidate domain-specific terms in terms of between domains, within a certain domain and unbalance of corpus. Then, we fill the meaningless word of candidate terms by using the combinational degree between two words based on original text. Finally, we can obtain meaningful terms. Experiments on the corpus of complaint about urban management show that our approach is effective to extract domain-specific terms. We evaluate the performance of our approach manually and compare the results against TFIDF, the Accuracy_lenient and Accuracy_strict are 13 percent and 7 percent higher than TFIDF.

• Periodical: Advanced Materials Research (Volumes 1044-1045)
• Pages: 1088-1093
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1088
• Online since: October 2014
• Authors: Xue Wei Li*, Xue Qiang Lv, Zhi An Dong, Ke Hui Liu
• Keywords: Between Domains, Combinational Degree, Complaint about Urban Management, Domain-Specific Terms, Variance, Within a Certain Domain

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