Entry Zaghouani:2012:RRB from talip.bib

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BibTeX entry

@Article{Zaghouani:2012:RRB,
  author =       "Wajdi Zaghouani",
  title =        "{RENAR}: a Rule-Based {Arabic} Named Entity
                 Recognition System",
  journal =      j-TALIP,
  volume =       "11",
  number =       "1",
  pages =        "2:1--2:??",
  month =        mar,
  year =         "2012",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/2090176.2090178",
  ISSN =         "1530-0226 (print), 1558-3430 (electronic)",
  ISSN-L =       "1530-0226",
  bibdate =      "Thu Mar 1 16:54:10 MST 2012",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/talip.bib",
  abstract =     "Named entity recognition has served many natural
                 language processing tasks such as information
                 retrieval, machine translation, and question answering
                 systems. Many researchers have addressed the name
                 identification issue in a variety of languages and
                 recently some research efforts have started to focus on
                 named entity recognition for the Arabic language. We
                 present a working Arabic information extraction (IE)
                 system that is used to analyze large volumes of news
                 texts every day to extract the named entity (NE) types
                 person, organization, location, date, and number, as
                 well as quotations (direct reported speech) by and
                 about people. The named entity recognition (NER) system
                 was not developed for Arabic, but instead a
                 multilingual NER system was adapted to also cover
                 Arabic.",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "ACM Transactions on Asian Language Information
                 Processing",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J820",
}

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