Entry Lin:2009:CSP from talip.bib

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BibTeX entry

@Article{Lin:2009:CSP,
  author =       "Shih-Hsiang Lin and Berlin Chen and Hsin-Min Wang",
  title =        "A Comparative Study of Probabilistic Ranking Models
                 for {Chinese} Spoken Document Summarization",
  journal =      j-TALIP,
  volume =       "8",
  number =       "1",
  pages =        "3:1--3:??",
  month =        mar,
  year =         "2009",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/1482343.1482346",
  ISSN =         "1530-0226 (print), 1558-3430 (electronic)",
  ISSN-L =       "1530-0226",
  bibdate =      "Mon Mar 23 16:32:22 MDT 2009",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/talip.bib",
  abstract =     "Extractive document summarization automatically
                 selects a number of indicative sentences, passages, or
                 paragraphs from an original document according to a
                 target summarization ratio, and sequences them to form
                 a concise summary. In this article, we present a
                 comparative study of various probabilistic ranking
                 models for spoken document summarization, including
                 supervised classification-based summarizers and
                 unsupervised probabilistic generative summarizers. We
                 also investigate the use of unsupervised summarizers to
                 improve the performance of supervised summarizers when
                 manual labels are not available for training the
                 latter. A novel training data selection approach that
                 leverages the relevance information of spoken sentences
                 to select reliable document-summary pairs derived by
                 the probabilistic generative summarizers is explored
                 for training the classification-based summarizers.
                 Encouraging initial results on Mandarin Chinese
                 broadcast news data are demonstrated.",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "ACM Transactions on Asian Language Information
                 Processing",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J820",
  keywords =     "extractive summarization; probabilistic ranking
                 models; relevance information; spoken document
                 summarization",
}

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