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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