Entry Wang:2011:DLA from talip.bib

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BibTeX entry

@Article{Wang:2011:DLA,
  author =       "Baoxun Wang and Bingquan Liu and Xiaolong Wang and
                 Chengjie Sun and Deyuan Zhang",
  title =        "Deep Learning Approaches to Semantic Relevance
                 Modeling for {Chinese} Question--Answer Pairs",
  journal =      j-TALIP,
  volume =       "10",
  number =       "4",
  pages =        "21:1--21:??",
  month =        dec,
  year =         "2011",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/2025384.2025389",
  ISSN =         "1530-0226 (print), 1558-3430 (electronic)",
  ISSN-L =       "1530-0226",
  bibdate =      "Thu Dec 15 09:23:26 MST 2011",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/talip.bib",
  abstract =     "The human-generated question-answer pairs in the Web
                 social communities are of great value for the research
                 of automatic question-answering technique. Due to the
                 large amount of noise information involved in such
                 corpora, it is still a problem to detect the answers
                 even though the questions are exactly located.
                 Quantifying the semantic relevance between questions
                 and their candidate answers is essential to answer
                 detection in social media corpora. Since both the
                 questions and their answers usually contain a small
                 number of sentences, the relevance modeling methods
                 have to overcome the problem of word feature sparsity.
                 In this article, the deep learning principle is
                 introduced to address the semantic relevance modeling
                 task.",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "ACM Transactions on Asian Language Information
                 Processing",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J820",
}

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