Sandeep Kumar Dash
Assistant Professor
Department Of Computer Science and Engineering
National Institute of Technology, Mizoram
India
Biography
Dr. Sandeep Kumar Dash is affiliated to Department Of Computer Science and Engineering, National Institute of Technology, Mizoram, where Dr. Sandeep Kumar Dash is currently working as Assistant Professor. Dr. Sandeep Kumar Dash has authored and co-authored several national and international publications and also working as a reviewer for reputed professional journals. Dr. Sandeep Kumar Dash is having an active association with different societies and academies around the world. Dr. Sandeep Kumar Dash made his mark in the scientific community with the contributions and widely recognition from honourable subject experts around the world. Dr. Sandeep Kumar Dash has received several awards for the contributions to the scientific community. Dr. Sandeep Kumar Dash major research interest involves Natural Language Processing.
Research Interest
Natural Language Processing
Publications
-
Sandeep Kumar Dash, Partha Pakray and Alexander Gelbukh, "Natural Language Text to Virtual Action", Computación y Sistemas, Vol. 20, No. 3, pp. 477–482, ISSN 1405-5546, DOI: 10.13053/CyS-20-3-2450, Konya, Turkey APRIL 2016
-
Sandeep Kumar Dash, Partha Pakray, and Alexander Gelbukh, "Generating a Logical Structure for Virtualizing Physiotherapy Instructions through NLP", In the proceedings of 15th Mexican International Conference on Artificial Intelligence, Cancún, Mexico OCT 2016
-
Sandeep Kumar Dash, Partha Pakray and Alexander Gelbukh, "Representing action structure through semantic roles of Physiotherapy instructions", In the proceedings of 20th International Conference on Asian Language Processing (IALP), IEEE,pp 87-90, 978-1-5090-0922-0, Taiwan NOV 2016
-
Sandeep Kumar Dash, Partha Pakray, Jan Smeddinck, Robert Porzel, Rainer Malaka and Alexander Gelbukh, “Designing An Ontology for Physical Exercise Actionsâ€, In the proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing, Budapest, Hungary (Accepted) APRIL 2017
