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
1442014
Linked open social signals
PN Mendes, A Passant, P Kapanipathi, AP Sheth
2010 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2010
612010
Chapter Title: Twitris-a System for Collective Social Intelligence
A Sheth, A Jadhav, P Kapanipathi, C Lu, H Purohit, G Alan, WW Smith
552012
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
532010
Twitris 2.0: Semantically empowered system for understanding perceptions from social data
AS Jadhav, H Purohit, P Kapanipathi, P Anantharam, AH Ranabahu, ...
462010
Personalized Filtering of the Twitter Stream
P Kapanipathi, F Orlandi, A Sheth, A Passant
2nd Workshop on Semantic Personalized Information Management at …, 2011
452011
Understanding events through analysis of social media
AP Sheth, H Purohit, AS Jadhav, P Kapanipathi, L Chen
262010
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, 7208-7215, 2019
222019
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
172018
Entity recommendations using hierarchical knowledge bases
SK Cheekula, P Kapanipathi, D Doran, P Jain, AP Sheth
172015
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
Semantic filtering for social data
A Sheth, P Kapanipathi
IEEE Internet Computing 20 (4), 74-78, 2016
152016
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
142016
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
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
10*2019
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
92017
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
82017
Characterising concepts of interest leveraging Linked Data and the Social Web
F Orlandi, P Kapanipathi, A Sheth, A Passant
Web Intelligence 2013, 2013
72013
Dynamic associative relationships on the linked open data web
PN Mendes, P Kapanipathi, DH Cameron, AP Sheth
72010
Hierarchical interest graph from tweets
P Kapanipathi, P Jain, C Venkataramani, A Sheth
Proceedings of the 23rd International Conference on World Wide Web, 311-312, 2014
52014
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