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Jay Pujara
Jay Pujara
Research Associate Professor, University of Southern California
Bestätigte E-Mail-Adresse bei cs.umd.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Knowledge Graph Identification
J Pujara, H Miao, L Getoor, W Cohen
International Semantic Web Conference, 2013
4672013
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
2092019
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
1462017
Real-time ad-hoc spam filtering of email
J Pujara
US Patent 8,069,128, 2011
1272011
Representing Numbers in NLP: a Survey and a Vision
A Thawani, J Pujara, PA Szekely, F Ilievski
arXiv preprint arXiv:2103.13136, 2021
1172021
User Preferences for Hybrid Explanations
P Kouki, J Pujara, J O’Donovan, L Getoor
11th ACM Conference on Recommender Systems (RecSys’ 17), 2017
922017
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
712021
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
532022
Employing pixel density to detect a spam image
K Wei, H Zheng, J Pujara
US Patent 7,882,177, 2011
532011
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
492021
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
492019
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
472021
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
462023
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
462021
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
432013
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
422022
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
412021
Identifying IP addresses for spammers
J Choi, J Pujara, VT Ramarao, K Wei
US Patent 7,849,146, 2010
412010
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
39*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
392019
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