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Jay Pujara
Jay Pujara
Research Assistant 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
4082013
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
1502019
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
1122017
Real-time ad-hoc spam filtering of email
J Pujara
US Patent 8,069,128, 2011
1072011
User Preferences for Hybrid Explanations
P Kouki, J Pujara, J O’Donovan, L Getoor
11th ACM Conference on Recommender Systems (RecSys’ 17), 2017
752017
Representing Numbers in NLP: a Survey and a Vision
A Thawani, J Pujara, PA Szekely, F Ilievski
arXiv preprint arXiv:2103.13136, 2021
642021
Employing pixel density to detect a spam image
K Wei, H Zheng, J Pujara
US Patent 7,882,177, 2011
532011
Identifying IP addresses for spammers
J Choi, J Pujara, VT Ramarao, K Wei
US Patent 7,849,146, 2010
412010
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
362019
Collective entity resolution in familial networks
P Kouki, J Pujara, C Marcum, L Koehly, L Getoor
2017 IEEE International Conference on Data Mining (ICDM), 227-236, 2017
342017
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
322019
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
312021
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
312013
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
302021
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
29*2021
Using Classifier Cascades for Scalable E-mail Classification
J Pujara, H Daumé III, L Getoor
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti …, 2011
292011
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
272021
Mining Knowledge Graphs From Text
J Pujara, S Singh
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
272018
Using Semantics and Statistics to Turn Data into Knowledge.
J Pujara, H Miao, L Getoor, WW Cohen
AI Magazine 36 (1), 65-74, 2015
272015
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
262021
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