Sujan Kumar Saha
Sujan Kumar Saha
Associate Professor, Dept. of Computer Sc. & Engg., BIT Mesra
Verified email at
Cited by
Cited by
Feature selection techniques for maximum entropy based biomedical named entity recognition
SK Saha, S Sarkar, P Mitra
Journal of biomedical informatics 42 (5), 905-911, 2009
A hybrid feature set based maximum entropy Hindi named entity recognition
SK Saha, S Sarkar, P Mitra
Proceedings of the Third International Joint Conference on Natural Language …, 2008
A hybrid approach for named entity recognition in indian languages
SK Saha, S Chatterji, S Dandapat, S Sarkar, P Mitra
Proceedings of the IJCNLP-08 Workshop on NER for South and South East Asian …, 2008
Hybrid named entity recognition system for South and South East Asian languages
P Praveen
Proceedings of the IJCNLP-08 Workshop on Named Entity Recognition for South …, 2008
A composite kernel for named entity recognition
SK Saha, S Narayan, S Sarkar, P Mitra
Pattern Recognition Letters 31 (12), 1591-1597, 2010
Gazetteer preparation for named entity recognition in indian languages
SK Saha, S Sarkar, P Mitra
Proceedings of the 6th Workshop on Asian Language Resources, 2008
Named entity recognition in Hindi using maximum entropy and transliteration
S Kumar Saha, P Sarathi Ghosh, S Sarkar, P Mitra
Polibits, 33-41, 2008
Automatic generation of multiple choice questions using wikipedia
AS Bhatia, M Kirti, SK Saha
International Conference on Pattern Recognition and Machine Intelligence …, 2013
A comparative study on feature reduction approaches in Hindi and Bengali named entity recognition
SK Saha, P Mitra, S Sarkar
Knowledge-Based Systems 27, 322-332, 2012
A system for generating multiple choice questions: With a novel approach for sentence selection
M Majumder, SK Saha
Proceedings of the 2nd Workshop on Natural Language Processing Techniques …, 2015
Word clustering and word selection based feature reduction for MaxEnt based Hindi NER
SK Saha, P Mitra, S Sarkar
proceedings of ACL-08: HLT, 488-495, 2008
Automatic Multiple Choice Question Generation from Text: A Survey
DR Ch, SK Saha
IEEE Transactions on Learning Technologies, 2018
A kernel-based approach for biomedical named entity recognition
R Patra, SK Saha
The Scientific World Journal 2013, 2013
A novel technique for name identification from homeopathy diagnosis discussion forum
M Majumder, U Barman, R Prasad, K Saurabh, SK Saha
Procedia Technology 6, 379-386, 2012
Automatic selection of informative sentences: The sentences that can generate multiple choice questions
M Majumder, SK Saha
Knowledge Management & E-Learning: An International Journal 6 (4), 377-391, 2014
Effect of impurity (Sb and Ag) incorporation on the ac conductivity and dielectric properties of a-Se {sub 70} Te {sub 30} glassy alloy
J Sharma, S Kumar
Children's untreated decay is positively associated with past caries experience and with current salivary loads of mutans Streptococci; negatively with self‐reported maternal …
S Fernando, S Kumar, M Bakr, D Speicher, R Lea, PA Scuffham, ...
Journal of public health dentistry, 2018
Intensified Agroecosystems and Changes in Soil Carbon Dynamics
A Alhameid, C Tobin, A Maiga, S Kumar, S Osborne, T Schumacher
Soil Health and Intensification of Agroecosytems, 195-214, 2017
Integrated Disease Management of rice root knot nematode (Meloidogyne graminicola) through organic amendments, Trichoderma spp. and Carbofuran
D Kumar, K Khilari, N Kumar, S Kumar
Journal of Pharmacognosy and Phytochemistry 6 (6), 2509-2515, 2017
A hybrid approach for automatic generation of named entity distractors for multiple choice questions
R Patra, SK Saha
Education and Information Technologies, 1-21, 2018
The system can't perform the operation now. Try again later.
Articles 1–20