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          <dc:title>対話の知識構造からの嗜好情報学習手法</dc:title>
          <dc:title xml:lang="en">A learning method of individual’s taste information from knowledge structure in a dialog</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>川本, 真司</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="ja-Kana">カワモト, シンジ</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>目良, 和也</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="ja-Kana">メラ, カズヤ</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>市村, 匠</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="ja-Kana">イチムラ, タクミ</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>山下, 利之</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="ja-Kana">ヤマシタ, トシユキ</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>相沢, 輝昭</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="ja-Kana">アイザワ, テルアキ</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">KAWAMOTO, Shinji</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">MERA, Kazuya</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">ICHIMURA, Takumi</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">YAMASHITA, Toshiyuki</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">AIZAWA, Teruaki</jpcoar:creatorName>
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          <dc:rights>Copyright (c) 2001 日本ファジィ学会</dc:rights>
          <datacite:description descriptionType="Other">application/pdf</datacite:description>
          <datacite:description descriptionType="Abstract">We propose a learning method of speaker's taste information from natural language dialogs. In this paper, we make favorable value changing situations for detecting good/bad actions for the agent. To find out these situations, we use the knowledge structure acquired from a dialog. In order to acquire the knowledge structure from a dialog, we construct the knowledge from each utterance using Truth Maintenance System while avoiding any contradictions. In order to verify this method, we provide the result of our experiment which attempts to learn new favorable values from a naturally-occurring dialog corpus.</datacite:description>
          <dc:publisher>日本知能情報ファジィ学会</dc:publisher>
          <datacite:date dateType="Issued">2001-09-05</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_5794">conference paper</dc:type>
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          <jpcoar:sourceIdentifier identifierType="NCID">AN10359394</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="ISSN">13419080</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>第17回ファジィシステムシンポジウム講演論文集</jpcoar:sourceTitle>
          <jpcoar:pageStart>369</jpcoar:pageStart>
          <jpcoar:pageEnd>372</jpcoar:pageEnd>
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