Abstract
Named entities (NE) occur frequently in Arabic texts, and their recognition is essential. Recognizing and categorizing NE requires both internal (morphological) and external (syntactic) evidences. This paper describes a system that combines a morphological parser and a syntactic parser, that are built with the NooJ linguistic development environment.
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References
Cunningham, H., Bontcheva, K.: Named Entity Recognition. In: Proceedings of RANLP 2003, Borovets, Bulgaria (2003)
Friburger, N.: Automatic Recognition of Proper Names: An Application in Automatic Clustering of Journalistic Texts, University of Tours, PhD Thesis (2002)
Harris, Z.S.: Transformational Theory. Language 41(3), 363–401 (1965)
Mac Donald, M.: Internal and external evidence in the identification and semantic categorization of proper names. Corpus processing for Lexical Acquisition. Massachussetts Institute of Technology, pp. 21–39 (1996)
Maloney J., Niv, M.: TAGARAB: A fast, accurate Arabic name recogniser using high-precision morphological analysis. In: Proceedings of COLING-ACL workshop on Computational Approaches to Semitic Languages, Montréal, Canada (1998)
Maurel, D., Piton, O., Grass, T.: Description of a multilingual database of proper names. In: Ranchhod, E., Mamede, N.J. (eds.) PorTAL 2002. LNCS (LNAI), vol. 2389, Springer, Heidelberg (2002)
Mesfar, S.: Standard Arabic formalization and linguistic platform for its analysis. In: Proceedings of Arabic NLP/MT conference, London, England (2006)
Mikheev, A., Moens, M., Grover, C.: Named Entity Recognition without Gazetteers. In: Proceedings of EACL 1999, Bergen, Norway (1999)
Poibeau, T.: Sur le staturéférentiel des entités nommées. In: Proceedings of TALN 2005, Dourdan, France (2005)
Poibeau, T.: The multilingual Named Entity Recognition framework. In: Proceedings of EACL 2003, Budapest, Hungary (2003)
Silberztein, M.: NooJ’s Dictionnaries. In: Proceedings of LTC 2005, Pozman, Poland (2005)
Silberztein, M.: NooJ Manual (2006), Download from http://www.nooj4nlp.net
Stevenson, M., Gaizauskas, R.: Using corpus derived name lists for Named Entity Recognition. In: Proceedings of ACL 2000, Hong Kong, China (2000)
Wakao, T., Gaizauskas, R., Cunningham, H.: Description of the LaSIE system as used for MUC-6. University of Sheffield (1995)
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Mesfar, S. (2007). Named Entity Recognition for Arabic Using Syntactic Grammars. In: Kedad, Z., Lammari, N., Métais, E., Meziane, F., Rezgui, Y. (eds) Natural Language Processing and Information Systems. NLDB 2007. Lecture Notes in Computer Science, vol 4592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73351-5_27
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DOI: https://doi.org/10.1007/978-3-540-73351-5_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73350-8
Online ISBN: 978-3-540-73351-5
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