1. Generation of Multiple-Choice Questions from Textbook Contents of School-Level Subjects Dhawaleswar Rao CH and Sujan Kumar Saha* IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES
16(1): 40-52
SCI
IEEE
2023
2023
2. A study on the performance of Recurrent Neural
Network based models in Maithili Part of Speech Tagging. Ankur Priyadarshi, Sujan Kumar Saha. ACM Transaction on Asian and Low-Resource Language Information Processing (TALLIP).
22(2):1-16
SCI
2023
2022
3. Automated analysis of Hindi poetry
for Rasa based classification. Amit Prakash, Niraj Kumar Singh, Sujan Kumar Saha. ETRI Journal, Wiley
SCI
2022
2022
4. Development of a Practical System for Computerized Evaluation of Descriptive Answers
of Middle School Level Students. Sujan Kumar Saha and Dhawaleswar Rao CH. Interactive Learning Environments, Taylor & Francis.
Volume 30, Issue 2, PP. Pages 215-228.
SCI
2022
2021
5. The
First Named Entity Recognizer in Maithili: Resource Creation and System Development. Ankur Priyadarshi and Sujan Kumar Saha. Journal of Intelligent and Fuzzy Systems.
Vol. 41 (2021) 1083–1095.
SCI
2021
2020
6. Automatic Multiple Choice Question Generation from
Text: A Survey. Dhawaleswar Rao CH, Sujan Kumar Saha. IEEE Transaction on Learning Technologies.
Vol. 13, Issue 1, pp. 14-25.
SCI
2020
2020
7. Towards
the First Maithili Part of Speech Tagger: Resource Creation and System Development. Ankur Priyadarshi, Sujan Kumar Saha. Computer Speech & Language Elsevier
Vol. 62 (July 2020) 101054
SCI
2020
2020
8. Adopting
computer-assisted assessment in evaluation of handwritten answer books: An
experimental study. Sujan Kumar Saha and Rushali Gupta. Education and Information Technologies Springer.
Vol. 25, Issue 6. pages 4845–4860
SCI
2020
2020
9. Towards Development of a System
for Automatic Assessment of the Quality of a Question Paper. Sujan Kumar Saha. Smart Learning Environments, Springer.
8: 4(2021).
ESCI
2020
2020
10. Utilizing
External Corpora Through Kernel Function: Application in Biomedical Named
Entity Recognition. Rakesh Patra and Sujan Kumar Saha. Progress in Artificial Intelligence Springer.
9(3), 209-219.
SCOPUS
2020
2020
11. Web Information
Extraction for Finding Remedy Based on a Patient-Authored Text: A Study on
Homeopathy. Ankur Priyadarshi, Sujan Kumar Saha. Network Modeling Analysis in Health Informatics and Bioinformatics, Springer.
Volume 9, Article number: 9
SCOPUS
2020
2019
12. "Similar Query was Answered Earlier": Processing of Patient Authored
Text for Retrieving Relevant Contents from Health Discussion Forum. Sujan Kumar Saha, Amit Prakash, Mukta Majumder Health Information Science and Systems, Springer
7: 4.
SCI
2019
2019
13. A Computer
Assisted Learning Platform for Efficient Biology Learning of Secondary School
Level Students. Dhawaleswar Rao CH, Sujan Kumar Saha. Journal of Educational Computing Research.
Volume 57, Number 7, Pages 1671-1694.
SCI
2019
2019
14. A Study on
Use of the Web for Automatic Answering of Remedy Finding Questions of Common
Users. Amit Prakash, Sujan Kumar Saha Technology and Health Care.
Vol. 27, No. 1, pp. 23-35
SCI
2019
2019
15. RemedialTutor:
A Blended Learning Platform for Weak Students and Study its Efficiency in
Social Science Learning of Middle School Students in India. Dhawaleswar Rao CH, Sujan Kumar Saha. Education and Information Technologies, Springer
Volume 24, Issue 3, pp 1925–1941.
SCI
2019
2019
16. A Hybrid Approach for Automatic Generation of Named Entity
Distractors for Multiple Choice Questions. Rakesh Patra, Sujan Kumar Saha. Education and Information Technologies, Springer.
Volume 24, Issue 2, pp 973–993.
SCI
2019
2019
17. A Novel Word Clustering
and Cluster Merging Technique for Named Entity Recognition. Rakesh Patra, Sujan Kumar Saha. Journal of Intelligent Systems.
Vol. 28, Issue 1, pages 15-30.
Web of Science
2019
2010
18. A Composite Kernel for Named Entity Recognition. Sujan Kumar Saha, Shashi Narayan, Sudeshna Sarkar and Pabitra Mitra Pattern Recognition Letters, Elsevier
Vol. 31, No. 12, pages 1591 – 1597
SCI
2010
2009
19. Feature Selection Techniques for Maximum Entropy Based
Biomedical Named Entity Recognition. Sujan Kumar Saha, Sudeshna Sarkar and Pabitra Mitra Journal of Biomedical Informatics. Elsevier.
Vol. 42, No. 5, pages 905 – 911.
SCI
2009
2018.
20. Development of a Hindi Named
Entity Recognition System without Using Manually Annotated Training Corpus. Sujan Kumar Saha, Mukta Majumdar. International Arab Journal of Information Technology.
Vol. 15, No. 6. Pages 1088 – 1098.
SCI
2018.
2014.
21. Automatic Selection
of Informative Sentences: The Sentences That Can Generate Multiple Choice Questions. Mukta Majumdar, Sujan Kumar Saha. Knowledge Management & E-Learning: An International Journal.
Vol. 6, No. 4, pages 377-391.
SCOPUS
2014.
2014.
22. Use of Global Context
for Handling Noisy Names in Discussion Texts of a Homeopathy Discussion Forum. Mukta Majumdar, Sujan Kumar Saha. Knowledge Management & E-Learning: An International Journal.
Vol. 6, No. 1, pages 18 – 29
SCOPUS
2014.
2013.
23. A Kernel Based
Approach for Biomedical Named Entity Recognition. Rakesh Patra, Sujan Kumar Saha. The Scientific World Journal
Article id: 950796, 7 pages
SCI/SCOPUS
2013.
2013.
24. A
Novel Technique for Multiple Faults and Their Location Detection and Start Electrode
Selection in Microfluidic Digital BioChip. Mukta Majumdar, N Das, Sujan Kumar Saha. Journal of Innovative Optical Health Sciences, World Scientific Press.
Vol. 6, No. 4. Pages 1350032-1 to 1350032-8.
SCI
2013.
2012.
25. A Comparative Study on Feature Reduction Approaches in Hindi and Bengali
named entity recognition. Sujan Kumar Saha, Pabitra Mitra and Sudeshna Sarkar. Knowledge-Based Systems, Elsevier.
Vol. 27, pages 322 – 332.
SCI
2012.
Conferences
ID
Details
Year
2022
1.
Shail Bala and Sujan Kumar Saha. 2022. Comparative Study
of Maithili Pre-Trained Embeddings on Named Entity Recognition Task. Fifth
International Conference on IoT, Cloud Computing and Data Science (IRCICD2022).
SMay 6-7, 2022. (Best Paper Award)
RM University, Chennai, India.
2022
2022
2.
Shubhojeet Paul, Sujan Kumar Saha and Vandana
Bhattacharjee. 2022. A Deep Learning based system for Continuous Speech
Recognition in Hindi for Healthcare Domain. 7th International Conference
on Emerging Applications of Information Technology (EAIT 2022). March
29-31, 2022.
Kolkata, India.
2022
2019
3.Ankur Priyadarshi and Sujan
Kumar Saha. 2019. A study on the Importance of Linguistic Suffixes in Maithili POS
Tagger Development. MIKE 2019: Seventh International Conference on Mining
Intelligence and Knowledge Exploration. 19-22 December.
NIT Goa, India.
2019
2019
4.
Ankur Priyadarshi and Sujan Kumar Saha. 2019. A Hybrid Approach
to Develop the First Stemmer in Maithili. FIRE 2019: 11th meeting of the
Forum for Information Retrieval Evaluation (FIRE, 19), Pages 42–46, 12-15 December.
ISI Kolkata, India.
2019
2018
5.
Shashank Srigiri, Sujan Kumar Saha. 2018. Spelling Correction
of OCR Generated Hindi Text Using Word Embedding and Levenshtein Distance.
4th International Conference on Nano-electronics, Circuits
& Communication Systems (NCCS-2018) on 3-4th Nov-2018.
Ranchi, India.
2018
2017
6.
Ambuj Mishra, Rakesh Ranjan, Neelansh and Sujan Kr. Saha.
2017. BIT Mesra @ SAIL CodeMixed-2017: Majority Voting of SVM and NB classifiers
for Sentiment Analysis of Hindi-English Code-Mixed Text. In International
Conference on Natural Language Processing (ICON 2017) 2nd Prize
in NLP tool contest. Dec 18-21, 2017.
Jadavpur University, Kolkata, India.
2017
2017
7.Sumeet Pannu, Aishwarya Krishna,
Shiwani Kumari, Rakesh Patra and Sujan Kumar Saha. 2017. Automatic Generation
of Fill-in-the-blank Questions from History Books for School Level Evaluation. In
International Conference on Computing Analytics and Networking (ICCAN 2017), In: Pattnaik P., Rautaray S., Das H., Nayak J. (eds) Progress in
Computing, Analytics and Networking. Advances in Intelligent Systems and Computing,
vol 710. Springer, Singapore, pages 461-469. Dec 15-16, 2017.
KIIT Bhubaneswar.
2017
2017
8.Rakesh Patra and Sujan
Kumar Saha. 2017. Automatic Generation of
Named Entity Distractors of Multiple Choice Questions using Web Information. In
International Conference on Computing Analytics and Networking (ICCAN 2017), Book Chapter in “Progress in Computing, Analytics and Networking”,
pages 511-518. Dec 15-16, 2017
KIIT Bhubaneswar.
2017
2017
9.Harsh Ranjan, Sumit
Agarwal, Amit Prakash and Sujan Kumar Saha. 2017. Automatic Labelling of Important
Terms and Phrases from Medical Discussions. In Conference on Information and
Communication Technology (CICT 2017), Nov 3-5, 2017.
ABV-IITM Gwalior, India.
2017
2016
10.Dheeraj Kumar Paras, Sudhanshu Nandan, Vikash Singh, Sujan
Kumar Saha. 2016. An Automatic Domain Specific Speech Recognition System in Maithili.
RegICON 2016. December 16, 2016
IIT BHU, India.
2016
2015
11.
Mukta Majumdar, Sujan Kumar
Saha. 2015. A System for Generating
Multiple Choice Questions: With a Novel Approach for Sentence Selection.
Proceedings of The 2nd ACL Workshop on Natural Language Processing Techniques
for Educational Applications (NLP-TEA), pages 64–72, July
31, 2015.
Beijing, China.
2015
2015
12.
Shlok Kumar
Mishra, Pranav Kumar, and Sujan Kumar Saha. 2015. A Support Vector Machine
Based System for Technical Question Classification. Third International Conference
on Mining Intelligence and Knowledge Exploration (MIKE 2015). Springer LNCS
Volume 9468, pp 640-649. December 9 - 11, 2015.
IIIT Hyderabad, India.
2015
2015
13.Amit Prakash, Sujan Kumar Saha. 2015. A Comparative Study
on Different Translation Approaches for Query Formation in the Source Retrieval
Task. 7th meeting of Forum for Information Retrieval Evaluation (FIRE 2015). December 4 - 6, 2015
DAIICT, Gandhinagar.
2015
2015
14.
Nimesh Ghelani, Sujan
Kumar Saha, Amit Prakash. 2015. Mixed Script Ad hoc
Retrieval using back transliteration and phrase matching through bigram
indexing: Shared Task report by BIT, Mesra. 7th meeting of Forum for
Information Retrieval Evaluation (FIRE 2015). Pages: 61-64. December 4 - 6, 2015.
DAIICT, Gandhinagar.
2015
2013
15.Arjun Singh Bhatia, Manas Kirti, and Sujan Kumar Saha. 2013.
Automatic
Generation of Multiple Choice Questions using Wikipedia. Proc. of Pattern Recognition
and Machine Intelligence (PReMI -13), LNCS Vol. 8251, pages 733 – 738. December 10-14,
2013
ISI Kolkata, India
2013
2012
16.Mukta Majumder, Utsav Barman, Rahul Prasad, Kumar Saurabh,
Sujan Kumar Saha. 2012. A novel technique for name identification
from homeopathy diagnosis discussion forum. 2nd International Conference on
Communication, Computing & Security. October 6-8, 2012
NIT Rourkela, India.
2012
2009
17.
Sujan Kumar Saha, Pabitra Mitra and Sudeshna Sarkar.
2009.
A Semi-supervised Approach for Maximum Entropy Based Hindi Named Entity Recognition.
Proc. of Pattern Recognition and Machine Intelligence (PReMI-09), IIT Delhi,
December 16–20, 2009. LNCS Vol. 5909/2009, pages 225 – 230.
IIT Delhi, India
2009
2008
18.Sujan Kumar Saha, Pabitra Mitra and Sudeshna Sarkar. 2008. Word Clustering
and Word Selection Based Feature Reduction for MaxEnt Based NER in Hindi. Proc.
of the Association for Computational Linguistics (ACL-08:HLT), pages 488 – 495, June 15-20, 2008
Columbus, Ohio.
2008
2008
19.
Sujan Kumar Saha, Sudeshna Sarkar and Pabitra Mitra. 2008. A Hybrid
Feature Set Based Maximum Entropy Hindi Named Entity Recognition. Proc. of
the 3rd International Joint Conference on Natural Language Processing (IJCNLP
2008), pages 343 – 349, January 7-12, 2008.
IIIT Hyderabad, India
2008
2008
20.
Sujan Kumar Saha, Sanjay Chatterjee, Sandipan Dandapat,
Sudeshna Sarkar and Pabitra Mitra. 2008. A Hybrid Named
Entity Recognition System for South and South East Asian Languages. Proc.
of the IJCNLP 2008 Workshop on Named Entity Recognition for South and
South East Asian Languages (NERSSAL 2008), pages 17 – 24, [Best result in the NERSSAL 2008 shared task]
Hyderabad, India.
2008
2008
21.
Sujan Kumar Saha, Sudeshna Sarkar and Pabitra Mitra.
2008. Gazetteer
Preparation for Named Entity Recognition in Indian Languages. Proc. of the
IJCNLP-08 Workshop on Asian Language Resources (ALR6 2008), pages 9 – 16.
Hyderabad, India.
2008
2008
22.Sujan Kumar Saha, Sudeshna Sarkar and Pabitra Mitra. 2008. A Novel Semi-supervised
Method for Named Entity Detection. Proc. of the 6th International Conference on
Natural Language Processing (ICON 2008), December 21-22, 2008
CDAC Pune, India.
2008
2007
23.Sujan Kumar Saha, Sudeshna Sarkar and Pabitra Mitra. 2007. Transliteration
Based Gazetteer Preparation for Named Entity Recognition in Hindi. Proc. of the
7th International Symposium on Natural Language Processing (SNLP 2007).
December
13-15, 2007
Pattaya, Thailand.
2007
2006
24.Sujan Kumar Saha, Lipika De. Ontology Based Text Information
Retrieval. Proc. of the International Conference on Emerging Applications of IT
(EAIT 2006), February 10-11, 2006.
Kolkata, India.
2006
2014
25.
Amit Prakash, Sujan
Kumar Saha. 2014. A Relevance Feedback Based Approach for Mixed Script Transliterated
Text Search. FIRE 2014 Workshop on Transliteration Search. 6th meeting of Forum for Information Retrieval
Evaluation (FIRE 2014). December 5 –
7, 2014.
ISI Bangalore, India.
2014
2014
26.
Amit Prakash, Sujan
Kumar Saha. 2014. Experiments on Document Chunking
and Query Formation for Plagiarism Source Retrieval. Notebook for PAN at CLEF
2014. Proceedings of the CLEF2014 Working Notes. Pages 990-996. ISSN 1613-0073. September 15-18, 2014. [Highest recall in the shared task competition
on Plagiarism Detection 2014]
Sheffield, UK.
2014
2014
27.
Satyam, Anand, A. K. Dawn,
and S. K. Saha. 2014. A Statistical Analysis Approach to Author Identification
Using Latent Semantic Analysis. Notebook for PAN at CLEF 2014. Proceedings
of the CLEF2014 Working Notes. Pages 1143-1147. ISSN 1613-0073. September 15-18, 2014. [Highest accuracy in Dutch reviews and 2nd
Highest accuracy in English essays]
Sheffield, UK.
2014
2014
28.Mukta Majumdar, Sujan Kumar Saha. 2014. Development of NER
System for Wikipedia without using Wikipedia text as training data: Sports (Cricket)
a case study. Proceedings in EIIC-14.
Online.
ERP
Faculty Recruitment @2024 
