Inquiry Classification in a Speech-Oriented Guidance System Using Discriminative Learning

• Item type: SIG Technical Reports(1)
• 公開日: 2009-07-10
• タイトル: Inquiry Classification in a Speech-Oriented Guidance System Using Discriminative Learning
• タイトル / 言語: en
• タイトル: Inquiry Classification in a Speech-Oriented Guidance System Using Discriminative Learning
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 音声対話システム
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate school of Information Science, Nara Institute of Science and Technology
• 著者所属: Graduate school of Information Science, Nara Institute of Science and Technology
• 著者所属: Department of Statistical Modeling, The Institute of Statistical Mathematics
• 著者所属: Graduate school of Information Science, Nara Institute of Science and Technology
• 著者所属: Graduate school of Information Science, Nara Institute of Science and Technology
• 著者所属: Graduate school of Information Science, Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Graduate school of Information Science, Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Graduate school of Information Science, Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Department of Statistical Modeling, The Institute of Statistical Mathematics
• 著者所属(英): en
• 著者所属(英): Graduate school of Information Science, Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Graduate school of Information Science, Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Graduate school of Information Science, Nara Institute of Science and Technology
• 著者名: Rafael, TORRES; Shota, TAKEUCHI; Hiromichi, KAWANAMI; Tomoko, MATSUI; Hiroshi, SARUWATARI; Kiyohiro, SHIKANO
• 著者名(英): Rafael, TORRES; Shota, TAKEUCHI; Hiromichi, KAWANAMI; Tomoko, MATSUI; Hiroshi, SARUWATARI; Kiyohiro, SHIKANO
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The issue of providing appropriate responses for users' inquiries in a speechoriented guidance system can be addressed with an example-based response generation method, which compares a user's utterance with example questions stored in a question and answer database (QADB), and the answer corresponding to the most similar example question is selected. An advantage of this method is that the system can be easily expanded to cover other classes of inquiries. However, questions from different classes could present high similarity, which could hinder the selection of an appropriate answer. The selection of an appropriate answer is basically a multi-class classification problem, and to deal with it, we study the use of the bag of words (BOW) kernel to represent the features of users' inquiries and using support vector machine (SVM) for the classification, implementing a one-vs-all multi-class classification approach. Preliminary experimental results using transcribed data show that the proposed method improves the classification performance of users' inquiries, compared to a baseline method.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The issue of providing appropriate responses for users' inquiries in a speechoriented guidance system can be addressed with an example-based response generation method, which compares a user's utterance with example questions stored in a question and answer database (QADB), and the answer corresponding to the most similar example question is selected. An advantage of this method is that the system can be easily expanded to cover other classes of inquiries. However, questions from different classes could present high similarity, which could hinder the selection of an appropriate answer. The selection of an appropriate answer is basically a multi-class classification problem, and to deal with it, we study the use of the bag of words (BOW) kernel to represent the features of users' inquiries and using support vector machine (SVM) for the classification, implementing a one-vs-all multi-class classification approach. Preliminary experimental results using transcribed data show that the proposed method improves the classification performance of users' inquiries, compared to a baseline method.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN10442647
• 書誌情報: 研究報告音声言語情報処理（SLP）; 巻 2009-SLP-77, 号 13, p. 1-6, 発行日 2009-07-10
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会