Knowledge Graph Identification J Pujara, H Miao, L Getoor, W Cohen International Semantic Web Conference, 2013 | 446 | 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 | 189 | 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 | 128 | 2017 |
Real-time ad-hoc spam filtering of email J Pujara US Patent 8,069,128, 2011 | 123 | 2011 |
Representing Numbers in NLP: a Survey and a Vision A Thawani, J Pujara, PA Szekely, F Ilievski arXiv preprint arXiv:2103.13136, 2021 | 105 | 2021 |
User Preferences for Hybrid Explanations P Kouki, J Pujara, J O’Donovan, L Getoor 11th ACM Conference on Recommender Systems (RecSys’ 17), 2017 | 85 | 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 | 60 | 2021 |
Employing pixel density to detect a spam image K Wei, H Zheng, J Pujara US Patent 7,882,177, 2011 | 53 | 2011 |
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 | 44 | 2019 |
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 | 42 | 2022 |
Identifying IP addresses for spammers J Choi, J Pujara, VT Ramarao, K Wei US Patent 7,849,146, 2010 | 41 | 2010 |
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 | 40 | 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 | 40 | 2013 |
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 | 38 | 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 | 38 | 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 | 36 | 2022 |
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 | 35* | 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 | 35 | 2019 |
Learning Semantic Models of Data Sources Using Probabilistic Graphical Models B Vu, C Knoblock, J Pujara The World Wide Web Conference, 1944-1953, 2019 | 34 | 2019 |
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 | 34 | 2017 |