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.
Awaseet Dictionary, The Arabic Union Council in Cairo, 2004.
- 2.
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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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