Patrick Verga

According to our database, Patrick Verga authored at least 29 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering.

Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering.

Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

QA Is the New KR: Question-Answer Pairs as Knowledge Bases.

William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

CoRR, 2022

Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization.

Yue Dong, John Wieting, Pat Verga

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text.

Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Answering Natural-Language Questions with Neuro-Symbolic Knowledge Bases.

Haitian Sun, Pat Verga, William W. Cohen

Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge.

Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations.

Haitian Sun, Patrick Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen

Proceedings of the 38th International Conference on Machine Learning, 2021

Multilingual Fact Linking.

Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2020

Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge.

Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen

CoRR, 2020

Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision.

Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders.

Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum

CoRR, 2019

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders.

Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders.

Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction.

Patrick Verga, Emma Strubell, Andrew McCallum

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Linguistically-Informed Self-Attention for Semantic Role Labeling.

Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets.

Nathan Greenberg, Trapit Bansal, Patrick Verga, Andrew McCallum

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking.

Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, Andrew McCallum

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions.

Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum

CoRR, 2017

Fast and Accurate Entity Recognition with Iterated Dilated Convolutions.

Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema.

Patrick Verga, Arvind Neelakantan, Andrew McCallum

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Attending to All Mention Pairs for Full Abstract Biological Relation Extraction.

Patrick Verga, Emma Strubell, Ofer Shai, Andrew McCallum

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Finer Grained Entity Typing with TypeNet.

Shikhar Murty, Patrick Verga, Luke Vilnis, Andrew McCallum

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016

Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.

Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum

Proceedings of the 2016 Text Analysis Conference, 2016

Multilingual Relation Extraction using Compositional Universal Schema.

Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum

Proceedings of the NAACL HLT 2016, 2016

Row-less Universal Schema.

Patrick Verga, Andrew McCallum

Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

2015

Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.

Benjamin Roth, Nicholas Monath, David Belanger, Emma Strubell, Patrick Verga, Andrew McCallum

Proceedings of the 2015 Text Analysis Conference, 2015

2014

UMass at TREC WEB 2014: Entity Query Feature Expansion using Knowledge Base Links.

Laura Dietz, Patrick Verga

Proceedings of The Twenty-Third Text REtrieval Conference, 2014