Word sense disambiguation for Arabic text using Wikipedia and Vector Space Model

• Abdullah, A. (2013). Arabic Wikipedia: Why it lags behind. London: Asfar e-Journal.

  Google Scholar 

• Bouhriz, N., Benabbou, F., & Lahmar, E. H. B. (2016). Word sense disambiguation approach for Arabic text, (IJACSA). International Journal of Advanced Computer Science and Applications, 7(4), 381–385.

  Article  Google Scholar 

• Carpaut, M., & Wu, D. (2005). Word sense disambiguation vs. statistical machine translation, In Proc. of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), pp. 387–394.

• Chan, Y., Ng, H., & Chiang, D., 2007, “Word sense disambiguation improves statistical machine translation”, In: Proc. of the 45rd Annual Meeting of the Association for Computational Linguistics (ACL), pp. 33–40.

• Cleary JG, Trigg LE (1995) K*: An instance-based learner using an entropic distance measure. In: 12th International Conference on Machine Learning, 108–114.

• Dandala, B. (2013). Multilingual word sense disambiguation using Wikipedia. PhD Dissertation, University of North Texas.

• Diab, M. (2003). Word sense disambiguation within a multilingual framework. PhD dissertation, University of Maryland.

• El Bachir Menai, M., Alsaeedan, W. (2012). Genetic algorithm for Arabic word sense disambiguation, 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, IEEE, pp. 195–200.

• El-Gedawy, M. N. (2013). Using fuzzifiers to solve word sense ambiguation in Arabic language. International Journal of Computer Applications, 79(2), 1–8.

  Article  Google Scholar 

• Elkateb, S., Black, W., Vossen, P., Farwell, D., Rodríguez, H., Pease, A., & Alkhalifa, M. (2006). Arabic WordNet and the challenges of Arabic. In Proceedings of Arabic NLP/MT Conference. London, UK.

• Hadni, M., El Alaoui, S., & Lachkar, A. (2016). Word sense disambiguation for Arabic text categorization. The International Arab Journal of Information Technology, 13(1A), 215–222.

  Google Scholar 

• Ide, N., & Véronis, J. (1998). Word sense disambiguation: The state of the art. Computational Linguistics, 24(1), 1–40.

  Google Scholar 

• Jacquemin, B., Brun, C., & Boux, C. (2002). Enriching a text by semantic disambiguation for information extraction. In: Proc. of the Workshop on Using Semantics for Information Retrieval and Filtering in the 3rd International Conference in Language Resources and Evaluation (LREC).

• Lesk, M. (1986). Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from a ice cream cone. In: Proceedings of SIGDOC’86.

• Lowe, W. (2001). Towards a theory of semantic space. In: Proceedings of the Twenty-_rst Annual Conference of the Cognitive Science Society, pp. 576–581.

• Mallery, J. C. (1988). Thinking about foreign policy: Finding an appropriate role for artificial intelligence computers. Ph.D. dissertation. MIT Political Science Department, Cambridge, MA.

• Merhbene, L., Zouaghi, A., & Zrigui, M. (2012). Lexical disambiguation of Arabic language: An experimental study, polibits no. 46. México, 2012, 49–54.

  Google Scholar 

• Merhbene, L., Zouaghi, A., Zrigui, M. (2013). A semi-supervised method for arabic word sense disambiguation using a weighted directed graph, In: International Joint Conference on Natural Language Processing (pp. 1027–1031).

• Mihalcea, R., Tarau, P., Figa, E. (2004). PageRank on semantic networks with application to word sense disambiguation. In: Proceedings of the 20th international conference on Computational Linguistics, COLING ‘04, doi:10.3115/1220355.1220517, ACM.

• Navigli, R. (2009). Word sense disambiguation: a survey, ACM Computing Surveys. 41(2), ACM Press, pp 1–69.

• Pal, A. R., & Saha, D. (2015). Word sense disambiguation: A survey. International Journal of Control Theory and Computer Modeling (IJCTCM), 5(3). doi:10.5121/ijctcm.2015.5301.

• Pinto, D., Rosso, P., Benajiba, Y., Ahachad, A., Jiménez-Salazar, H. (2007). Word sense induction in the Arabic language: A self-term expansion based approach, Proc. 7th Conference on Language Engineering of the Egyptian Society of Language Engineering-ESOLE, pp. 235–245.

• Ponzetto, S.P., Navigli, R. (2010). Knowledge-rich word sense disambiguation rivaling supervised systems. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 1522–1531.

• Salton, G., Wong, A., & Yang, C. S. (1975). A Vector Space Model for automatic indexing. Communications of the ACM, 18(11), 613–620.

  Article  MATH  Google Scholar 

• Schütze, H., & Pedersen, J. (1995). Information retrieval based on word senses. In: Proc. of Symposium on Document Analysis and Information Retrieval (SDAIR’95), pp. 161–175.

• Stokoe, C., Oakes, M., & Tait, J. (2003). Word sense disambiguation in information retrieval revisited. In: Proc. of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 159–166.

• Turney, P. D., & Pantel, Patrick. (2010). From frequency to meaning: Vector Space Models of semantics. Journal of Articial Intelligence Research, 37(2010), 141–188.

  MathSciNet  MATH  Google Scholar 

• Weaver, W. (1955). Translation. In W. Locke & D. Booth (Eds.), Machine translation of languages: Fourteen essays. Cambridge, MA: MIT Press.

  Google Scholar 

• Wiki. (2016). Arabic Wikipedia definition retrieved at 22 June 2016 from: https://en.wikipedia.org/wiki/Arabic_Wikipedia

• Zouaghi, A. (2012). A hybrid approach for arabic word sense disambiguation. International Journal of Computer Processing of Languages, 24(2), 133–151.

  Article  Google Scholar 

• Zouaghi, A., Merhbene, L., & Zrigui, M. (2011). Word sense disambiguation for Arabic language using the variants of the Lesk algorithm. WORLDCOMP’, 11, 561–567.

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