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Comparative study of word embedding methods in topic segmentation.

, , and . KES, volume 112 of Procedia Computer Science, page 340-349. Elsevier, (2017)

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Comparative study of word embedding methods in topic segmentation., , and . KES, volume 112 of Procedia Computer Science, page 340-349. Elsevier, (2017)Arabic topic identification based on empirical studies of topic models Identification thématique Arabe basée sur des études empiriques des topic models., , and . ARIMA J., (2017)Exogenous approach to improve topic segmentation., , and . Int. J. Intell. Comput. Cybern., 9 (2): 165-178 (2016)Topic Segmentation for Textual Document Written in Arabic Language., , and . KES, volume 35 of Procedia Computer Science, page 437-446. Elsevier, (2014)The Contribution of Stemming and Semantics in Arabic Topic Segmentation., , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 17 (2): 12:1-12:25 (2018)Comparative Study of Arabic Stemming Algorithms for Topic Identification., , and . KES, volume 159 of Procedia Computer Science, page 794-802. Elsevier, (2019)Parameters Driving Effectiveness of LSA on Topic Segmentation., , and . CICLing (1), volume 9623 of Lecture Notes in Computer Science, page 560-572. Springer, (2016)