Jay Pujara

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Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzVerified email at ucsc.edu
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaVerified email at usc.edu
Pedro SzekelyPrincipal Applied Scientist at Amazon AlexaVerified email at amazon.com
Pei ZhouSenior Applied Scientist, MicrosoftVerified email at microsoft.com
Dong-Ho LeeUniversity of Southern CaliforniaVerified email at usc.edu
William W. CohenCMU and Google DeepMindVerified email at google.com
Hui MiaoGoogleVerified email at google.com
Craig A. KnoblockKeston Executive Director, USC Information Sciences InstituteVerified email at isi.edu
Filip IlievskiVrije Universiteit Amsterdam; Information Sciences Institute (University of Southern California)Verified email at vu.nl
Pigi KoukiRelational AIVerified email at relational.ai
Kexuan SunPhD student, University of Southern CaliforniaVerified email at usc.edu
Fred MorstatterUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
Binh VuUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
Kian AhrabianUniversity of Southern CaliforniaVerified email at usc.edu
Avijit ThawaniUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
John O'DonovanTeladoc Health Inc. and Computer Science Dept., University of California, Santa BarbaraVerified email at cs.ucsb.edu
J. David Schafferbinghamton universityVerified email at binghamton.edu
Pegah JandaghiGraduate Student, University of Southern CaliforniaVerified email at usc.edu
Bill Yuchen LinAllen Institute for AI (AI2)Verified email at allenai.org
Muhao ChenAssistant Professor of Computer Science, University of California, DavisVerified email at ucdavis.edu

Jay Pujara

Research Associate Professor, University of Southern California

Verified email at cs.umd.edu - Homepage

Machine Learning Knowledge Graphs Efficient Prediction


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Knowledge Graph Identification J Pujara, H Miao, L Getoor, W Cohen International Semantic Web Conference, 2013	459	2013
Personalized Explanations for Hybrid Recommender Systems P Kouki, J Schaffer, J Pujara, J O’Donovan, L Getoor Proceedings of the 24th International Conference on Intelligent User …, 2019	198	2019
Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short J Pujara, E Augustine, L Getoor Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017	139	2017
Real-time ad-hoc spam filtering of email J Pujara US Patent 8,069,128, 2011	126	2011
Representing Numbers in NLP: a Survey and a Vision A Thawani, J Pujara, PA Szekely, F Ilievski arXiv preprint arXiv:2103.13136, 2021	112	2021
User Preferences for Hybrid Explanations P Kouki, J Pujara, J O’Donovan, L Getoor 11th ACM Conference on Recommender Systems (RecSys’ 17), 2017	89	2017
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER DH Lee, M Agarwal, A Kadakia, J Pujara, X Ren arXiv preprint arXiv:2110.08454, 2021	66	2021
Employing pixel density to detect a spam image K Wei, H Zheng, J Pujara US Patent 7,882,177, 2011	53	2011
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation P Zhou, K Gopalakrishnan, B Hedayatnia, S Kim, J Pujara, X Ren, Y Liu, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022	48	2022
Tabular Cell Classification Using Pre-Trained Cell Embeddings MG Gol, J Pujara, P Szekely 2019 IEEE International Conference on Data Mining (ICDM), 230-239, 2019	48	2019
Commonsense-Focused Dialogues for Response Generation: An Empirical Study P Zhou, K Gopalakrishnan, B Hedayatnia, S Kim, J Pujara, X Ren, Y Liu, ... arXiv preprint arXiv:2109.06427, 2021	46	2021
Retrieving complex tables with multi-granular graph representation learning F Wang, K Sun, M Chen, J Pujara, P Szekely Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021	42	2021
Ontology-Aware Partitioning for Knowledge Graph Identification J Pujara, H Miao, L Getoor, WW Cohen Proceedings of the 2013 workshop on Automated knowledge base construction, 19-24, 2013	42	2013
Gendered citation patterns among the scientific elite K Lerman, Y Yu, F Morstatter, J Pujara Proceedings of the National Academy of Sciences 119 (40), e2206070119, 2022	41	2022
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources N Mehrabi, P Zhou, F Morstatter, J Pujara, X Ren, A Galstyan arXiv preprint arXiv:2103.11320, 2021	41	2021
Identifying IP addresses for spammers J Choi, J Pujara, VT Ramarao, K Wei US Patent 7,849,146, 2010	41	2010
Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making Y Gil, D Garijo, D Khider, CA Knoblock, V Ratnakar, M Osorio, H Vargas, ... ACM Transactions on Interactive Intelligent Systems 11 (2), 1-49, 2021	40	2021
Entity Linking to Knowledge Graphs to Infer Column Types and Properties A Thawani, M Hu, E Hu, H Zafar, NT Divvala, A Singh, E Qasemi, ... SemTab, ISWC Challenge 2553, 2019	38	2019
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms P Zhou, R Khanna, S Lee, BY Lin, D Ho, J Pujara, X Ren Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021	37*	2021
How FaR Are Large Language Models From Agents with Theory-of-Mind? P Zhou, A Madaan, SP Potharaju, A Gupta, KR McKee, A Holtzman, ... arXiv preprint arXiv:2310.03051, 2023	35	2023

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