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          <dc:title>［依頼講演］国際会議IJCNLP2017参加報告(2)</dc:title>
          <dc:title xml:lang="en">[Invited Lecture]IJCNLP 2017 Report (2)</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>人見, 雄太</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Yuta, Hitomi</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">国際会議参加報告</jpcoar:subject>
          <datacite:description descriptionType="Other">本講演では，国際会議 IJCNLP 2017 の Best Paper に選ばれた論文と文生成に関する論文を紹介する．近年，ニューラルベースの手法が盛んに研究されており，本会議でも Neural Network を用いた文生成の論文が数多く採択されている．これらの論文について概観や傾向について述べると共に，注目を集めた論文をいくつか紹介する．</datacite:description>
          <datacite:description descriptionType="Other">This report introduces the best research papers and some papers of sentence generation published at IJCNLP 2017. In recent years. Neural-based methods have been actively researched, many papers on sentence generation using Neural Network have also been adopted at this conference. I explain the overviews and trends of these papers and introduce some of the papers that attracted attention.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2017-12-13</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_18gh">technical report</dc:type>
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          <jpcoar:sourceIdentifier identifierType="ISSN">2188-8779</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN10115061</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>研究報告自然言語処理（NL）</jpcoar:sourceTitle>
          <jpcoar:volume>2017-NL-234</jpcoar:volume>
          <jpcoar:issue>10</jpcoar:issue>
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