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Jay Pujara
Jay Pujara
Research Assistant Professor, University of Southern California
Verified email at cs.umd.edu - Homepage
Title
Cited by
Cited by
Year
Knowledge Graph Identification
J Pujara, H Miao, L Getoor, W Cohen
International Semantic Web Conference, 2013
4502013
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
1912019
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
1282017
Real-time ad-hoc spam filtering of email
J Pujara
US Patent 8,069,128, 2011
1232011
Representing Numbers in NLP: a Survey and a Vision
A Thawani, J Pujara, PA Szekely, F Ilievski
arXiv preprint arXiv:2103.13136, 2021
1072021
User Preferences for Hybrid Explanations
P Kouki, J Pujara, J O’Donovan, L Getoor
11th ACM Conference on Recommender Systems (RecSys’ 17), 2017
862017
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
602021
Employing pixel density to detect a spam image
K Wei, H Zheng, J Pujara
US Patent 7,882,177, 2011
532011
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
462019
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
422022
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
412013
Identifying IP addresses for spammers
J Choi, J Pujara, VT Ramarao, K Wei
US Patent 7,849,146, 2010
412010
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
402021
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
382021
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
382021
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
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
362022
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
352019
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
342021
Generating and Understanding Personalized Explanations in Hybrid Recommender Systems
P Kouki, J Schaffer, J Pujara, J O’Donovan, L Getoor
ACM Transactions on Interactive Intelligent Systems (TiiS) 10 (4), 1-40, 2020
342020
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