| SemEval-2019 task 3: EmoContext contextual emotion detection in text A Chatterjee, KN Narahari, M Joshi, P Agrawal Proceedings of the 13th international workshop on semantic evaluation, 39-48, 2019 | 290 | 2019 |
| Optimized transformer models for faq answering S Damani, KN Narahari, A Chatterjee, M Gupta, P Agrawal Pacific-Asia Conference on Knowledge Discovery and Data Mining, 235-248, 2020 | 16 | 2020 |
| Compression of deep learning models for NLP M Gupta, V Varma, S Damani, KN Narahari Proceedings of the 29th ACM International Conference on Information …, 2020 | 15 | 2020 |
| Insights from building an open-ended conversational agent K Gupta, M Joshi, A Chatterjee, S Damani, KN Narahari, P Agrawal Proceedings of the First Workshop on NLP for Conversational AI, 106-112, 2019 | 7 | 2019 |
| Ruuh: A deep learning based conversational social agent S Damani, N Raviprakash, U Gupta, A Chatterjee, M Joshi, K Gupta, ... arXiv preprint arXiv:1810.12097, 2018 | 5 | 2018 |
| Using AI to Design Stone Jewelry K Gupta, S Damani, KN Narahari arXiv preprint arXiv:1811.08759, 2018 | 1 | 2018 |
| Query-Document Topic Mismatch Detection S Chelaramani, A Chatterjee, S Damani, KN Narahari, M Joshi, M Gupta, ... International Conference on Database Systems for Advanced Applications, 413-424, 2022 | | 2022 |
| Diversification and Filtering of Search Results P Agrawal, D Jetley, KN Narahari US Patent App. 15/018,516, 2017 | | 2017 |
| Mining Unusual Search Behavior Related to Physical Events A Prakash, P Agrawal, KN Narahari, P Agrawal Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | | 2017 |
