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Title:      QUESTION CLASSIFICATION CONSIDERING ANSWER TYPES WHICH QUESTIONERS WANT
Author(s):      Yuma Minemoto , Naoki Isogai , Ryo Nishimura , Yasuhiko Watanabe , Yoshihiro Okada
ISBN:      978-972-8924-97-3
Editors:      Hans Weghorn and Pedro IsaĆ­as
Year:      2009
Edition:      V II, 2
Keywords:      Answer types which questioners want, communications site, Yahoo! chiebukuro
Type:      Reflection Paper
First Page:      281
Last Page:      284
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      In this study, we propose a method of classifying questions in a communications site to three types from the viewpoint of answer types which questioners want. We introduced machine learning techniques into the question classification, and conducted closed and open tests. In the experiments, we show that the results were improved when we used classifiers developed by using learning samples in other categories. For examination, we used questions and answers submitted to Yahoo! chiebukuro.
   

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