Pavan Kapanipathi
Pavan Kapanipathi
Research Staff Member, IBM T J Watson Research Center
Verified email at us.ibm.com - Homepage
Title
Cited by
Cited by
Year
User interests identification on twitter using a hierarchical knowledge base
P Kapanipathi, P Jain, C Venkataramani, A Sheth
European Semantic Web Conference, 99-113, 2014
1532014
Chapter Title: Twitris-a System for Collective Social Intelligence
A Sheth, A Jadhav, P Kapanipathi, C Lu, H Purohit, G Alan, WW Smith
662012
Linked open social signals
PN Mendes, A Passant, P Kapanipathi, AP Sheth
2010 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2010
602010
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
562010
Personalized Filtering of the Twitter Stream
P Kapanipathi, F Orlandi, A Sheth, A Passant
2nd Workshop on Semantic Personalized Information Management at …, 2011
542011
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
482019
Twitris 2.0: Semantically empowered system for understanding perceptions from social data
AS Jadhav, H Purohit, P Kapanipathi, P Anantharam, AH Ranabahu, ...
482010
Understanding events through analysis of social media
AP Sheth, H Purohit, AS Jadhav, P Kapanipathi, L Chen
Technical Report, 2010
302010
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
272018
Entity recommendations using hierarchical knowledge bases
SK Cheekula, P Kapanipathi, D Doran, P Jain, AP Sheth
212015
Semantic filtering for social data
A Sheth, P Kapanipathi
IEEE Internet Computing 20 (4), 74-78, 2016
192016
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
17*2019
Harnessing relationships for domain-specific subgraph extraction: A recommendation use case
S Lalithsena, P Kapanipathi, A Sheth
2016 IEEE International Conference on Big Data (Big Data), 706-715, 2016
172016
Privacy-aware and scalable content dissemination in distributed social networks
P Kapanipathi, J Anaya, A Sheth, B Slatkin, A Passant
International Semantic Web Conference, 157-172, 2011
172011
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
P Kapanipathi, V Thost, SS Patel, S Whitehead, I Abdelaziz, ...
AAAI 2020, 2020
132020
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
112020
Domain-specific hierarchical subgraph extraction: A recommendation use case
S Lalithsena, S Perera, P Kapanipathi, A Sheth
2017 IEEE International Conference on Big Data (Big Data), 666-675, 2017
112017
Knowledge enabled approach to predict the location of twitter users
R Krishnamurthy, P Kapanipathi, AP Sheth, K Thirunarayan
European Semantic Web Conference, 187-201, 2015
112015
Performance of natural language classifiers in a question-answering system
R Bakis, DP Connors, P Dube, P Kapanipathi, A Kumar, D Malioutov, ...
IBM Journal of Research and Development 61 (4/5), 14: 1-14: 10, 2017
92017
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
72021
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