Using author keywords for automatic term recognition
This paper proposes a method which regards the keywords provided by the authors of technical papers as terms and learns the statistics which distinguish terms from non-terms. Since it uses keywords as training data, it requires no hand-labeled training corpora manually annotated with terms. The proposed method was used to extract terms from the NTCIR morphologically tagged corpus and achieved 0.800 recall and 0.431 precision. The effectiveness of the proposed method has thus been demonstrated.
Cited by (2)
Cited by two other publications
Takada, Tomoki, Mizuki Arai & Tomohiro Takagi
2014.
Automatic Keyword Annotation System Using Newspapers.
Journal of Advanced Computational Intelligence and Intelligent Informatics 18:3
► pp. 340 ff.
Zhang, Chengzhi
2009.
2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology,
► pp. 271 ff.
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