Entry Pham:2012:LRT from talip.bib

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BibTeX entry

@Article{Pham:2012:LRT,
  author =       "Minh Quang Nhat Pham and Minh Le Nguyen and Akira
                 Shimazu",
  title =        "Learning to Recognize Textual Entailment in {Japanese}
                 Texts with the Utilization of Machine Translation",
  journal =      j-TALIP,
  volume =       "11",
  number =       "4",
  pages =        "14:1--14:??",
  month =        dec,
  year =         "2012",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/2382593.2382596",
  ISSN =         "1530-0226 (print), 1558-3430 (electronic)",
  ISSN-L =       "1530-0226",
  bibdate =      "Thu Dec 6 07:40:55 MST 2012",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/talip.bib",
  abstract =     "Recognizing Textual Entailment (RTE) is a fundamental
                 task in Natural Language Understanding. The task is to
                 decide whether the meaning of a text can be inferred
                 from the meaning of another one. In this article, we
                 conduct an empirical study of recognizing textual
                 entailment in Japanese texts, in which we adopt a
                 machine learning-based approach to the task. We
                 quantitatively analyze the effects of various
                 entailment features, machine learning algorithms, and
                 the impact of RTE resources on the performance of an
                 RTE system. This article also investigates the use of
                 machine translation for the RTE task and determines
                 whether machine translation can be used to improve the
                 performance of our RTE system. Experimental results
                 achieved on benchmark data sets show that our machine
                 learning-based RTE system outperforms the baseline
                 methods based on lexical matching and syntactic
                 matching. The results also suggest that the machine
                 translation component can be utilized to improve the
                 performance of the RTE system.",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "ACM Transactions on Asian Language Information
                 Processing",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J820",
}

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