Selecting Help Messages by Using Robust Grammar Verification for Handling Out-of-Grammar Utterances in Spoken Dialogue Systems

• KOMATANI Kazunori

  Graduate School of Informatics, Kyoto University

• FUKUBAYASHI Yuichiro

  Graduate School of Informatics, Kyoto University

• IKEDA Satoshi

  Graduate School of Informatics, Kyoto University

• OGATA Tetsuya

  Graduate School of Informatics, Kyoto University

• OKUNO Hiroshi G.

  Graduate School of Informatics, Kyoto University

抄録

We address the issue of out-of-grammar (OOG) utterances in spoken dialogue systems by generating help messages. Help message generation for OOG utterances is a challenge because language understanding based on automatic speech recognition (ASR) of OOG utterances is usually erroneous; important words are often misrecognized or missing from such utterances. Our grammar verification method uses a weighted finite-state transducer, to accurately identify the grammar rule that the user intended to use for the utterance, even if important words are missing from the ASR results. We then use a ranking algorithm, RankBoost, to rank help message candidates in order of likely usefulness. Its features include the grammar verification results and the utterance history representing the user's experience.

収録刊行物

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E93-D (12), 3359-3367, 2010

  一般社団法人 電子情報通信学会

キーワード

• spoken dialogue system
• help generation
• out-of-grammar utterances
• novice user
• utterance history

詳細情報

• CRID: 1390001204377477888
• NII論文ID: 120005439179
• NII論文ID: 10027989211
• NII書誌ID: AA10826272
• DOI: 10.1587/transinf.e93.d.3359
• ISSN: 17451361
• ISSN: 09168532
• HANDLE: 2433/187386
• Web Site: http://www.jstage.jst.go.jp/article/transinf/E93.D/12/E93.D_12_3359/_pdf
• 本文言語コード: en
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