Presentation 2011-10-10
Comparison between statistical-learning-based system and rule-based system on biomedical term extraction task
Shosaburo MINAMOTO, Koichi TAKEUCHI,
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Abstract(in English) We compare the term extraction system to extract technical terms automatically in texts. The methods of comparative target are based on statistical-learning-based model and rule-based model. In comparison, since the text data identified term on infection exists, we use this data as correct answer data. In statistical-learning-based model, we build the term extraction system by learning by CRF based on correct answer data. And in rule-based model, we use the extraction system using SRL as a rule-based word extraction language. We experimented in term extraction, and showed that it is good to perform term extraction by statical-learning based model when there are many correct answer data, and by rule-based model when texts depend on some fields.
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Keyword(in English) Term extraction / Statistical-learning-based model / Rule-based model
Paper # TL2011-31,NLC2011-28
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Committee NLC
Conference Date 2011/10/3(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Comparison between statistical-learning-based system and rule-based system on biomedical term extraction task
Sub Title (in English)
Keyword(1) Term extraction
Keyword(2) Statistical-learning-based model
Keyword(3) Rule-based model
1st Author's Name Shosaburo MINAMOTO
1st Author's Affiliation Graduate School of Natural Science and Technology, Okayama University()
2nd Author's Name Koichi TAKEUCHI
2nd Author's Affiliation Graduate School of Natural Science and Technology, Okayama University
Date 2011-10-10
Paper # TL2011-31,NLC2011-28
Volume (vol) vol.111
Number (no) 228
Page pp.pp.-
#Pages 5
Date of Issue