| Detecting insider threats in a real corporate database of computer usage activity TE Senator, HG Goldberg, A Memory, WT Young, B Rees, R Pierce, ... Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 175 | 2013 |
| Case-based reasoning for natural language queries over knowledge bases R Das, M Zaheer, D Thai, A Godbole, E Perez, JY Lee, L Tan, ... arXiv preprint arXiv:2104.08762, 2021 | 56 | 2021 |
| Net-ray: Visualizing and mining billion-scale graphs U Kang, JY Lee, D Koutra, C Faloutsos Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014 | 51 | 2014 |
| Gradient-based inference for networks with output constraints JY Lee, SV Mehta, M Wick, JB Tristan, J Carbonell Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4147-4154, 2019 | 44 | 2019 |
| Semi-supervised learning on meta structure: Multi-task tagging and parsing in low-resource scenarios KT Lim, JY Lee, J Carbonell, T Poibeau Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8344-8351, 2020 | 31 | 2020 |
| StructSum: Summarization via Structured Representations V Balachandran, A Pagnoni, JY Lee, D Rajagopal, JG Carbonell, ... Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 28* | 2021 |
| Towards semi-supervised learning for deep semantic role labeling SV Mehta, JY Lee, J Carbonell arXiv preprint arXiv:1808.09543, 2018 | 28 | 2018 |
| Modeling Label Space Interactions in Multi-label Classification using Box Embeddings D Patel, P Dangati, JY Lee, M Boratko, A McCallum International Conference on Learning Representations, 2021 | 27 | 2021 |
| Fast anomaly detection despite the duplicates JY Lee, U Kang, D Koutra, C Faloutsos Proceedings of the 22nd International Conference on World Wide Web, 195-196, 2013 | 21* | 2013 |
| Event-Event Relation Extraction using Probabilistic Box Embedding E Hwang, JY Lee, T Yang, D Patel, D Zhang, A McCallum ACL2022, 2021 | 18 | 2021 |
| When output units must obey hard constraints M Wick, JB Tristan, JY Lee US Patent App. 15/450,933, 2018 | 18* | 2018 |
| Preferential attachment in graphs with affinities J Lee, M Zaheer, S Günnemann, A Smola Artificial Intelligence and Statistics, 571-580, 2015 | 14 | 2015 |
| Meta-adapters: Parameter efficient few-shot fine-tuning through meta-learning T Bansal, S Alzubi, T Wang, JY Lee, A McCallum International Conference on Automated Machine Learning, 19/1-18, 2022 | 13 | 2022 |
| Influence propagation: Patterns, model and a case study Y Lin, AA Raza, JY Lee, D Koutra, R Rosenfeld, C Faloutsos Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014 | 12 | 2014 |
| Improved latent tree induction with distant supervision via span constraints Z Xu, A Drozdov, JY Lee, T O'Gorman, S Rongali, D Finkbeiner, S Suresh, ... arXiv preprint arXiv:2109.05112, 2021 | 7 | 2021 |
| Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation. JY Lee, ML Wick, JB Tristan, JG Carbonell AKBC@ NIPS, 2017 | 6 | 2017 |
| Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation Z Xu, JY Lee, L Huang Findings of the Association for Computational Linguistics: ACL 2023, 10421-10437, 2023 | 4 | 2023 |
| Machine reading comprehension using case-based reasoning D Thai, D Agarwal, M Chaudhary, W Zhao, R Das, JY Lee, H Hajishirzi, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 8414-8428, 2023 | 3 | 2023 |
| Structured Energy Network As a Loss JY Lee, D Patel, P Goyal, W Zhao, Z Xu, A McCallum Advances in Neural Information Processing Systems, 2022 | | 2022 |
| Injecting constraints into neural NLP models JY Lee Carnegie Mellon University, 2019 | | 2019 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
