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Word2vec for Arabic Word Sense Disambiguation

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Natural Language Processing and Information Systems (NLDB 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10859))

Abstract

Word embedding, where words are represented as vectors in a continuous space, has recently attracted much attention in natural language processing tasks due to their ability to capture semantic and syntactic relations between words from a huge amount of text. In this work, we will focus on how word embedding can be used in Arabic word sense disambiguation (WSD).

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Notes

  1. 1.

    Awaseet Dictionary, The Arabic Union Council in Cairo, 2004.

  2. 2.

    http://code.google.com/archive/p/word2vec/.

References

  1. Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in neural information processing systems (2013)

    Google Scholar 

  2. Al-Said, A.B., Medea-García, L.: The historical arabic dictionary corpus and its suitability for a grammaticalization approach. In: 5th International Conference in Linguistics (2014)

    Google Scholar 

  3. Jarrar, M., Zaraket, F.A., Asia, R.: Diacritic-aware arabic word matching. Int. Arab J. Inf. Technol (2016)

    Google Scholar 

  4. Saad, K.M., Ashour, W.: OSAC: open source arabic corpora. In: International Conference on Electrical and Computer Systems (2010)

    Google Scholar 

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Correspondence to Rim Laatar .

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Laatar, R., Aloulou, C., Belghuith, L.H. (2018). Word2vec for Arabic Word Sense Disambiguation. In: Silberztein, M., Atigui, F., Kornyshova, E., Métais, E., Meziane, F. (eds) Natural Language Processing and Information Systems. NLDB 2018. Lecture Notes in Computer Science(), vol 10859. Springer, Cham. https://doi.org/10.1007/978-3-319-91947-8_32

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  • DOI: https://doi.org/10.1007/978-3-319-91947-8_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91946-1

  • Online ISBN: 978-3-319-91947-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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