Estimation of Connectivity between Paragraphs in a Mail Text
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概要
- 論文の詳細を見る
In order to improve the readability, we often segment a mail text into smaller paragraphs than necessary. However, this oversegmentation is a problem of mail text processing. It would negatively affect discourse analysis, information extraction, information retrieval, and so on. To solve this problem, we propose methods of estimating the connectivity between paragraphs in a mail. In this paper, we compare paragraph connectivity estimation based on machine learning methods (SVM and ME) with a rule-based method and show that the machine learning methods outperform the rule-based method.
著者
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MURATA Masaki
The National Institute of Information and Communications Technology
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OOTA Yasuhito
Department of Media Informatics, Ryukoku University
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Okada Yoshihiro
Department Of Electronics Himeji Institute Of Technology
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Oota Yasuhito
Department Of Computer Science Chubu University
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Watanabe Yasuhiko
Department Of Cardiovascular Surgery National Cardiovascular Center
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Nishimura Ryo
Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
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