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Generating sense inventories for ambiguous arabic words
2021
˜The œinternational Arab journal of information technology
The process of selecting the appropriate meaning of an ambigous word according to its context is known as word sense disambiguation. In this research, we generate a number of Arabic sense inventories based on an unsupervised approach and different pre-trained embeddings, such as Aravec, Fasttext, and Arabic-News embeddings. The resulted inventories from the pre-trained embeddings are evaluated to investigate their efficiency in Arabic word sense disambiguation and sentence similarity. The sense
doi:10.34028/iajit/18/3a/8
dblp:journals/iajit/AlianA21
fatcat:kyipnuhminbxrevzhoo6thkhkm