Published in IWR, Heidelberg University, Germany, 2021
LLM (BART, RoBERTa, Transformer, GPT2) to translate natural language to source code snippet (NL2Code) and code completion system.
Recommended citation: Mitodru Niyogi. (2021). "Neural Models for Source Code Synthesis and Completion." IWR, Heidelberg University, Germany. https://drive.google.com/file/d/1M3gXVON_-9NA401fOxY_mn30xVFuiPXT/view
Published in In: Verma, N., Ghosh, A. (eds) Computational Intelligence: Theories, Applications and Future Directions - Volume I. Advances in Intelligent Systems and Computing, vol 798. Springer, Singapore, 2018
Paper about topic modeling, sentiment analysis on tweets related to Demonetization in India.
Recommended citation: Niyogi, M., Kumar Pal, A. (2019). "Discovering Conversational Topics and Emotions Associated with Demonetization Tweets in India." In: Verma, N., Ghosh, A. (eds) Computational Intelligence: Theories, Applications and Future Directions - Volume I. Advances in Intelligent Systems and Computing, vol 798. Springer, Singapore. https://link.springer.com/chapter/10.1007/978-981-13-1132-1_17
Published in arXiv preprint arXiv:1804.04475v1, 2018
Cross-lingual Information Retrieval
Recommended citation: M. Niyogi, K. Ghosh, and A. Bhattacharya. (2018). "Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora." arXiv preprint arXiv:1804.04475v1. https://arxiv.org/pdf/1804.04475.pdf
Published in In Proceedings of the 7th International Conference on Computer and Communication Technology (ICCCT-2017). Association for Computing Machinery, New York, NY, USA, 133–138., 2017
Paper about topic modeling, sentiment analysis on Yelp Reviews
Recommended citation: Niyogi, M., Kumar Pal, A. (2019). "Business: Do you wanna sell more? Discovering Topics, Sentiments and Prediction of Ratings." In Proceedings of the 7th International Conference on Computer and Communication Technology (ICCCT-2017). Association for Computing Machinery, New York, NY, USA, 133–138. https://dl.acm.org/doi/10.1145/3154979.3154987
Published in The Twenty-Fifth Text REtrieval Conference (TREC 2016) Proceedings. NIST Special Publication:SP 500-321, 2017
TREc 2016 Open Search Track
Recommended citation: M. Niyogi, S. Pal. (2017). "IR-IITBHU at TREC 2016 Open Search Track: Retrieving documents using Divergence From Randomness model in Terrier." The Twenty-Fifth Text REtrieval Conference (TREC 2016) Proceedings. NIST Special Publication:SP 500-321. https://trec.nist.gov/pubs/trec25/papers/IR-IITBHU-O.pdf