Entry Kuo:2008:MSG from talip.bib

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BibTeX entry

@Article{Kuo:2008:MSG,
  author =       "June-Jei Kuo and Hsin-Hsi Chen",
  title =        "Multidocument Summary Generation: Using Informative
                 and Event Words",
  journal =      j-TALIP,
  volume =       "7",
  number =       "1",
  pages =        "3:1--3:??",
  month =        feb,
  year =         "2008",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/1330291.1330294",
  ISSN =         "1530-0226 (print), 1558-3430 (electronic)",
  ISSN-L =       "1530-0226",
  bibdate =      "Mon Jun 16 17:12:10 MDT 2008",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/talip.bib",
  abstract =     "Summary generation for multiple documents poses a
                 number of issues including sentence selection, sentence
                 ordering, and sentence reduction over single-document
                 summarization. In addition, the temporal resolution
                 among extracted sentences is also important. This
                 article considers informative words and event words to
                 deal with multidocument summarization. These words
                 indicate the important concepts and relationships in a
                 document or among a set of documents, and can be used
                 to select salient sentences. We present a temporal
                 resolution algorithm, using focusing time and
                 coreference chains, to convert Chinese temporal
                 expressions in a document into calendrical forms.
                 Moreover, we consider the last calendrical form of a
                 sentence as a sentence time stamp to address sentence
                 ordering. Informative words, event words, and temporal
                 words are introduced to a sentence reduction algorithm,
                 which deals with both length constraints and
                 information coverage. Experiments on Chinese-news data
                 sets show significant improvements of both information
                 coverage and readability.",
  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 =     "latent semantic analysis; multidocument summary
                 generation; sentence ordering; sentence reduction;
                 sentence selection; temporal processing",
}

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