| User interests identification on twitter using a hierarchical knowledge base P Kapanipathi, P Jain, C Venkataramani, A Sheth The Semantic Web: Trends and Challenges: 11th International Conference, ESWC …, 2014 | 180 | 2014 |
| Improving natural language inference using external knowledge in the science questions domain X Wang, P Kapanipathi, R Musa, M Yu, K Talamadupula, I Abdelaziz, ... Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7208-7215, 2019 | 142 | 2019 |
| Leveraging Abstract Meaning Representation for Knowledge Base Question Answering P Kapanipathi, I Abdelaziz, S Ravishankar, S Roukos, A Gray, R Astudillo, ... Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 106* | 2021 |
| Chapter Title: Twitris-a System for Collective Social Intelligence A Sheth, A Jadhav, P Kapanipathi, C Lu, H Purohit, G Alan, WW Smith | 77 | 2012 |
| Linked open social signals PN Mendes, A Passant, P Kapanipathi, AP Sheth 2010 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2010 | 59 | 2010 |
| Personalized Filtering of the Twitter Stream P Kapanipathi, F Orlandi, A Sheth, A Passant 2nd Workshop on Semantic Personalized Information Management at …, 2011 | 57 | 2011 |
| Twarql: tapping into the wisdom of the crowd PN Mendes, A Passant, P Kapanipathi Proceedings of the 6th International Conference on Semantic Systems, 1-3, 2010 | 54 | 2010 |
| A systematic classification of knowledge, reasoning, and context within the ARC dataset M Boratko, H Padigela, D Mikkilineni, P Yuvraj, R Das, A McCallum, ... arXiv preprint arXiv:1806.00358, 2018 | 50 | 2018 |
| Twitris 2.0: Semantically empowered system for understanding perceptions from social data AS Jadhav, H Purohit, P Kapanipathi, P Anantharam, AH Ranabahu, ... | 49 | 2010 |
| Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines K Murugesan, M Atzeni, P Kapanipathi, P Shukla, S Kumaravel, ... Thirty Fifth AAAI Conference on Artificial Intelligence, 2021 | 46 | 2021 |
| Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks P Kapanipathi, V Thost, SS Patel, S Whitehead, I Abdelaziz, ... AAAI 2020, 2020 | 43 | 2020 |
| Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks A Mishra, D Patel, A Vijayakumar, X Li, P Kapanipathi, K Talamadupula Proceedings of 2021 Conference of the North American Chapter of the …, 2021 | 34* | 2021 |
| Type-augmented Relation Prediction in Knowledge Graphs Z Cui, P Kapanipathi, K Talamadupula, T Gao, Q Ji Thirty Fifth AAAI Conference on Artificial Intelligence, 2021 | 31 | 2021 |
| Understanding events through analysis of social media AP Sheth, H Purohit, AS Jadhav, P Kapanipathi, L Chen Technical Report, 2010 | 31 | 2010 |
| Enhancing text-based reinforcement learning agents with commonsense knowledge K Murugesan, M Atzeni, P Shukla, M Sachan, P Kapanipathi, ... arXiv preprint arXiv:2005.00811, 2020 | 28 | 2020 |
| Leveraging semantic parsing for relation linking over knowledge bases N Mihindukulasooriya, G Rossiello, P Kapanipathi, I Abdelaziz, ... International Semantic Web Conference, 402-419, 2020 | 27 | 2020 |
| Semantic filtering for social data A Sheth, P Kapanipathi IEEE Internet Computing 20 (4), 74-78, 2016 | 27 | 2016 |
| Answering Science Exam Questions Using Query Reformulation with Background Knowledge R Musa, X Wang, A Fokoue, N Mattei, M Chang, P Kapanipathi, B Makni, ... Automated Knowledge Base Construction 2019, 2019 | 26* | 2019 |
| A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving M Crouse, I Abdelaziz, B Makni, S Whitehead, C Cornelio, P Kapanipathi, ... Thirty Fifth AAAI Conference on Artificial Intelligence, 2021 | 24 | 2021 |
| Entity recommendations using hierarchical knowledge bases SK Cheekula, P Kapanipathi, D Doran, P Jain, AP Sheth | 24 | 2015 |
Amit ShethDirector, AI Institute; NCR Chair, U. of South CarolinaVerified email at sc.edu
