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공공누리This item is licensed Korea Open Government License

Title
Domain Independent Recognition of Multi-word Technology Using Web Search
Author(s)
송사광최윤수성원경전홍우정창후최성필
Publication Year
2013-01-01
Abstract
The multi-word terminology is recognized based on statistical information obtained from large amount of documents in general. However, this kind of approaches is dependent on the domain information, so that it is very limited to use when it is hard to apply to a new domain or extract statistical information in the domain. Hence, we have developed a multi-word terminology recognition system independent with domain, which is more effective than the local statistical information-based methodology. It utilizes dictionaries, syntactic features, and web search results after excluding the statistical information extracted from the target literature records. We achieved F-score 80.9 and 6.4% improvement after comparing the proposed approach with the related approach, C-value, which has been widely used and is based on local domain frequencies.
Keyword
Terminology Recognition; Text Mining; Machine Learning; Information Extraction
Journal Title
Information : an international interdisciplinary journal
ISSN
1343-4500
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14192
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