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Volumn , Issue , 2015, Pages 379-389

A neural attention model for sentence summarization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 84957571911     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1936)

References (27)
  • 1
    • 84952676546 scopus 로고    scopus 로고
    • Neural machine translation by jointly learning to align and translate
    • Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473.
    • (2014) ArXiv Preprint arXiv:1409.0473
    • Bahdanau, D.1    Cho, K.2    Bengio, Y.3
  • 5
    • 44449150380 scopus 로고    scopus 로고
    • Global inference for sentence compression: An integer linear programming approach
    • James Clarke and Mirella Lapata. 2008. Global inference for sentence compression: An integer linear programming approach. Journal of Artificial Intelligence Research, pages 399-429.
    • (2008) Journal of Artificial Intelligence Research , pp. 399-429
    • Clarke, J.1    Lapata, M.2
  • 8
    • 10644256063 scopus 로고    scopus 로고
    • Hedge trimmer: A parse-and-trim approach to headline generation
    • Association for Computational Linguistics
    • Bonnie Dorr, David Zajic, and Richard Schwartz. 2003. Hedge trimmer: A parse-and-trim approach to headline generation. In Proceedings of the HLT-NAACL 03 on Text summarization workshop-Volume 5, pages 1-8. Association for Computational Linguistics.
    • (2003) Proceedings of the HLT-NAACL 03 on Text Summarization Workshop , vol.5 , pp. 1-8
    • Dorr, B.1    Zajic, D.2    Schwartz, R.3
  • 9
    • 84926319349 scopus 로고    scopus 로고
    • Overcoming the lack of parallel data in sentence compression
    • Katja Filippova and Yasemin Altun. 2013. Overcoming the lack of parallel data in sentence compression. In EMNLP, pages 1481-1491.
    • (2013) EMNLP , pp. 1481-1491
    • Filippova, K.1    Altun, Y.2
  • 12
    • 0039486312 scopus 로고    scopus 로고
    • Using hidden markov modeling to decompose human-written summaries
    • Hongyan Jing. 2002. Using hidden markov modeling to decompose human-written summaries. Computational linguistics, 28(4):527-543.
    • (2002) Computational Linguistics , vol.28 , Issue.4 , pp. 527-543
    • Jing, H.1
  • 13
    • 84926283798 scopus 로고    scopus 로고
    • Recurrent continuous translation models
    • Nal Kalchbrenner and Phil Blunsom. 2013. Recurrent continuous translation models. In EMNLP, pages 1700-1709.
    • (2013) EMNLP , pp. 1700-1709
    • Kalchbrenner, N.1    Blunsom, P.2
  • 14
    • 0036641584 scopus 로고    scopus 로고
    • Summarization beyond sentence extraction: A probabilistic approach to sentence compression
    • Kevin Knight and Daniel Marcu. 2002. Summarization beyond sentence extraction: A probabilistic approach to sentence compression. Artificial Intelligence, 139(1):91-107.
    • (2002) Artificial Intelligence , vol.139 , Issue.1 , pp. 91-107
    • Knight, K.1    Marcu, D.2
  • 26
    • 85050418554 scopus 로고    scopus 로고
    • Z-mert: A fully configurable open source tool for minimum error rate training of machine translation systems
    • Omar Zaidan. 2009. Z-mert: A fully configurable open source tool for minimum error rate training of machine translation systems. The Prague Bulletin of Mathematical Linguistics, 91:79-88.
    • (2009) The Prague Bulletin of Mathematical Linguistics , vol.91 , pp. 79-88
    • Zaidan, O.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.