Entry Baldwin:2010:RMB from talip.bib

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BibTeX entry

@Article{Baldwin:2010:RMB,
  author =       "Timothy Baldwin and Sunam Kim and Francis Bond and
                 Sanae Fujita and David Martinez and Takaaki Tanaka",
  title =        "A Reexamination of {MRD}-Based Word Sense
                 Disambiguation",
  journal =      j-TALIP,
  volume =       "9",
  number =       "1",
  pages =        "4:1--4:??",
  month =        mar,
  year =         "2010",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/1731035.1731039",
  ISSN =         "1530-0226 (print), 1558-3430 (electronic)",
  ISSN-L =       "1530-0226",
  bibdate =      "Mon Mar 29 15:34:01 MDT 2010",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/talip.bib",
  abstract =     "This article reconsiders the task of MRD-based word
                 sense disambiguation, in extending the basic Lesk
                 algorithm to investigate the impact on WSD performance
                 of different tokenization schemes and methods of
                 definition extension. In experimentation over the
                 Hinoki Sensebank and the Japanese Senseval-2 dictionary
                 task, we demonstrate that sense-sensitive definition
                 extension over hyponyms, hypernyms, and synonyms,
                 combined with definition extension and word
                 tokenization leads to WSD accuracy above both
                 unsupervised and supervised baselines. In doing so, we
                 demonstrate the utility of ontology induction and
                 establish new opportunities for the development of
                 baseline unsupervised WSD methods.",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "ACM Transactions on Asian Language Information
                 Processing",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J820",
  keywords =     "Japanese; machine-readable dictionary; word sense
                 disambiguation",
}

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