| Fast and accurate entity recognition with iterated dilated convolutions E Strubell, P Verga, D Belanger, A McCallum EMNLP, 2017 | 388 | 2017 |
| Linguistically-informed self-attention for semantic role labeling E Strubell, P Verga, D Andor, D Weiss, A McCallum EMNLP, 2018 | 348 | 2018 |
| Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction P Verga, E Strubell, A McCallum NAACL-HLT, 2018 | 225 | 2018 |
| Sleep promotes consolidation and generalization of extinction learning in simulated exposure therapy for spider fear EF Pace-Schott, PW Verga, TS Bennett, RMC Spencer Journal of psychiatric research 46 (8), 1036-1044, 2012 | 146 | 2012 |
| Multilingual relation extraction using compositional universal schema P Verga, D Belanger, E Strubell, B Roth, A McCallum NAACL-HLT, 2016 | 104 | 2016 |
| Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking S Murty, P Verga, L Vilnis, I Radovanovic, A McCallum ACL, 2018 | 85 | 2018 |
| Extinction of conditioned fear is better learned and recalled in the morning than in the evening EF Pace-Schott, RMC Spencer, S Vijayakumar, NAK Ahmed, PW Verga, ... Journal of Psychiatric Research 47 (11), 1776-1784, 2013 | 79 | 2013 |
| Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders A Drozdov, P Verga, M Yadav, M Iyyer, A McCallum NAACL-HLT, 2019 | 74 | 2019 |
| Marginal likelihood training of BiLSTM-CRF for biomedical named entity recognition from disjoint label sets N Greenberg, T Bansal, P Verga, A McCallum Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 67 | 2018 |
| Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema P Verga, A Neelakantan, A McCallum European Chapter of the ACL (EACL), 2017 | 48 | 2017 |
| Facts as experts: Adaptable and interpretable neural memory over symbolic knowledge P Verga, H Sun, LB Soares, WW Cohen arXiv preprint arXiv:2007.00849, 2020 | 33 | 2020 |
| Row-less universal schema P Verga, A McCallum 5th Workshop on Automated Knowledge Base Construction (AKBC), 2016 | 27 | 2016 |
| Emotional trait and memory associates of sleep timing and quality EF Pace-Schott, ZS Rubin, LE Tracy, RMC Spencer, SP Orr, PW Verga Psychiatry research 229 (3), 999-1010, 2015 | 25 | 2015 |
| Adaptable and Interpretable Neural Memory Over Symbolic Knowledge P Verga, H Sun, LB Soares, W Cohen Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 23 | 2021 |
| Finer grained entity typing with typenet S Murty, P Verga, L Vilnis, A McCallum AKBC, 2017 | 21 | 2017 |
| Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. B Roth, N Monath, D Belanger, E Strubell, P Verga, A McCallum TAC, 2015 | 19 | 2015 |
| Modeling reconsolidation in kernel associative memory D Nowicki, P Verga, H Siegelmann PloS one 8 (8), e68189, 2013 | 17 | 2013 |
| Reasoning over virtual knowledge bases with open predicate relations H Sun, P Verga, B Dhingra, R Salakhutdinov, WW Cohen International Conference on Machine Learning, 9966-9977, 2021 | 12 | 2021 |
| Unsupervised labeled parsing with deep inside-outside recursive autoencoders A Drozdov, P Verga, YP Chen, M Iyyer, A McCallum Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 12 | 2019 |
| Simultaneously linking entities and extracting relations from biomedical text without mention-level supervision T Bansal, P Verga, N Choudhary, A McCallum Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7407-7414, 2020 | 11 | 2020 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
