Kashif Shah
About
Kashif Shah has authored 17 papers that have received a total of 198 indexed citations.
This includes 16 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Epidemiology. The topics of these papers are Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers) and Machine Learning and Data Classification (4 papers). Kashif Shah is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers) and Machine Learning and Data Classification (4 papers) and collaborates with scholars based in United Kingdom, United States and Australia. Kashif Shah's co-authors include Lucia Specia, Trevor Cohn, Daniel Beck, Fethi Bougares and Raymond W. M. Ng and has published in prestigious journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics and Machine Translation
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