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.