| Fast and accurate entity recognition with iterated dilated convolutions E Strubell, P Verga, D Belanger, A McCallum EMNLP, 2017 | 524* | 2017 |
| Linguistically-informed self-attention for semantic role labeling E Strubell, P Verga, D Andor, D Weiss, A McCallum EMNLP [best paper], 2018 | 434 | 2018 |
| Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction P Verga, E Strubell, A McCallum NAACL-HLT, 2018 | 282 | 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 | 167 | 2012 |
| Multilingual relation extraction using compositional universal schema P Verga, D Belanger, E Strubell, B Roth, A McCallum NAACL-HLT, 2016 | 117 | 2016 |
| Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders A Drozdov, P Verga, M Yadav, M Iyyer, A McCallum NAACL-HLT, 2019 | 107 | 2019 |
| 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 | 99* | 2021 |
| Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking S Murty, P Verga, L Vilnis, I Radovanovic, A McCallum ACL, 2018 | 99 | 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 | 95 | 2013 |
| 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 | 81 | 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 | 49 | 2017 |
| Attributed question answering: Evaluation and modeling for attributed large language models B Bohnet, VQ Tran, P Verga, R Aharoni, D Andor, LB Soares, J Eisenstein, ... arXiv preprint arXiv:2212.08037, 2022 | 36 | 2022 |
| 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 | 29 | 2015 |
| Row-less universal schema P Verga, A McCallum 5th Workshop on Automated Knowledge Base Construction (AKBC), 2016 | 28 | 2016 |
| Finer grained entity typing with typenet S Murty, P Verga, L Vilnis, A McCallum AKBC, 2017 | 24 | 2017 |
| 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 | 22 | 2021 |
| Murag: Multimodal retrieval-augmented generator for open question answering over images and text W Chen, H Hu, X Chen, P Verga, WW Cohen EMNLP 2022, 2022 | 21 | 2022 |
| 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 | 20 | 2015 |
| Augmenting pre-trained language models with qa-memory for open-domain question answering W Chen, P Verga, M de Jong, J Wieting, W Cohen EACL 2023, 2022 | 18 | 2022 |
| Modeling reconsolidation in kernel associative memory D Nowicki, P Verga, H Siegelmann PloS one 8 (8), e68189, 2013 | 18 | 2013 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstGeverifieerd e-mailadres voor cs.umass.edu
