| 2021 | ICML | Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. | Haitian Sun, Patrick Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen |
| 2020 | AAAI | Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision. | Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum |
| 2019 | EMNLP | Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders. | Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum |
| 2019 | NAACL | Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders. | Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum |
| 2018 | ACL | Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking. | Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, Andrew McCallum |
| 2018 | EMNLP | Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets. | Nathan Greenberg, Trapit Bansal, Patrick Verga, Andrew McCallum |
| 2018 | EMNLP | Linguistically-Informed Self-Attention for Semantic Role Labeling. | Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum |
| 2018 | NAACL | Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction. | Patrick Verga, Emma Strubell, Andrew McCallum |
| 2017 | EACL | Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema. | Patrick Verga, Arvind Neelakantan, Andrew McCallum |
| 2017 | EMNLP | Fast and Accurate Entity Recognition with Iterated Dilated Convolutions. | Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum |
| 2016 | NAACL | Multilingual Relation Extraction using Compositional Universal Schema. | Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum |