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AuthorElrazzaz, Mohammed
AuthorElbassuoni, Shady
AuthorShaban, Khaled
AuthorHelwe, Chadi
Available date2022-12-21T10:01:47Z
Publication Date2017
Publication NameACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)
ResourceScopus
URIhttp://dx.doi.org/10.18653/v1/P17-2072
URIhttp://hdl.handle.net/10576/37516
AbstractMany unsupervised learning techniques have been proposed to obtain meaningful representations of words from text. In this study, we evaluate these various techniques when used to generate Arabic word embeddings. We first build a benchmark for the Arabic language that can be utilized to perform intrinsic evaluation of different word embeddings. We then perform additional extrinsic evaluations of the embeddings based on two NLP tasks. 2017 Association for Computational Linguistics.
SponsorThis work was made possible by NPRP 6-716-1-138 grant from the Qatar National Research Fund (a member of Qatar Foundation). The statements
Languageen
PublisherAssociation for Computational Linguistics (ACL)
SubjectComputational linguistics
Arabic languages
Embeddings
Linguistics
TitleMethodical evaluation of Arabic word embeddings
TypeConference Paper
Pagination454-458
Volume Number2
dc.accessType Open Access


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