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Patrick Verga
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Conference and Workshop Papers
- 2023
- [c22]William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting:
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. AAAI 2023: 15385-15392 - [c21]Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga:
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. ACL (1) 2023: 14429-14446 - [c20]Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen:
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. EACL 2023: 1589-1602 - 2022
- [c19]Yue Dong, John Wieting, Pat Verga:
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization. EMNLP (Findings) 2022: 1067-1082 - [c18]Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen:
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. EMNLP 2022: 5558-5570 - 2021
- [c17]Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar:
Multilingual Fact Linking. AKBC 2021 - [c16]Haitian Sun, Patrick Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen:
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. ICML 2021: 9966-9977 - [c15]Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen:
Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge. NAACL-HLT 2021: 3678-3691 - 2020
- [c14]Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum:
Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision. AAAI 2020: 7407-7414 - 2019
- [c13]Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum:
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders. EMNLP/IJCNLP (1) 2019: 1507-1512 - [c12]Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum:
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders. NAACL-HLT (1) 2019: 1129-1141 - 2018
- [c11]Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic
, Andrew McCallum:
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking. ACL (1) 2018: 97-109 - [c10]Nathan Greenberg, Trapit Bansal, Patrick Verga, Andrew McCallum:
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets. EMNLP 2018: 2824-2829 - [c9]Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum:
Linguistically-Informed Self-Attention for Semantic Role Labeling. EMNLP 2018: 5027-5038 - [c8]Patrick Verga, Emma Strubell, Andrew McCallum:
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction. NAACL-HLT 2018: 872-884 - 2017
- [c7]Shikhar Murty, Patrick Verga, Luke Vilnis, Andrew McCallum:
Finer Grained Entity Typing with TypeNet. AKBC@NIPS 2017 - [c6]Patrick Verga, Emma Strubell, Ofer Shai, Andrew McCallum:
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction. AKBC@NIPS 2017 - [c5]Patrick Verga, Arvind Neelakantan, Andrew McCallum:
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema. EACL (1) 2017: 613-622 - [c4]Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum:
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions. EMNLP 2017: 2670-2680 - 2016
- [c3]Patrick Verga, Andrew McCallum:
Row-less Universal Schema. AKBC@NAACL-HLT 2016: 63-68 - [c2]Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum:
Multilingual Relation Extraction using Compositional Universal Schema. HLT-NAACL 2016: 886-896 - 2014
- [c1]Laura Dietz, Patrick Verga:
UMass at TREC WEB 2014: Entity Query Feature Expansion using Knowledge Base Links. TREC 2014
Parts in Books or Collections
- 2021
- [p1]Haitian Sun, Pat Verga, William W. Cohen:
Answering Natural-Language Questions with Neuro-Symbolic Knowledge Bases. Neuro-Symbolic Artificial Intelligence 2021: 126-145
Informal and Other Publications
- 2024
- [i26]Pat Verga, Sebastian Hofstätter, Sophia Althammer, Yixuan Su, Aleksandra Piktus, Arkady Arkhangorodsky, Minjie Xu, Naomi White, Patrick Lewis:
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models. CoRR abs/2404.18796 (2024) - [i25]Ayomide Odumakinde, Daniel D'souza, Pat Verga, Beyza Ermis, Sara Hooker:
Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress. CoRR abs/2408.14960 (2024) - [i24]Huayang Li, Pat Verga, Priyanka Sen, Bowen Yang, Vijay Viswanathan, Patrick Lewis, Taro Watanabe, Yixuan Su:
ALR2: A Retrieve-then-Reason Framework for Long-context Question Answering. CoRR abs/2410.03227 (2024) - [i23]Erik Arakelyan, Pasquale Minervini, Pat Verga, Patrick S. H. Lewis, Isabelle Augenstein:
FLARE: Faithful Logic-Aided Reasoning and Exploration. CoRR abs/2410.11900 (2024) - 2022
- [i22]Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen:
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. CoRR abs/2204.04581 (2022) - [i21]Yue Dong, John Wieting, Pat Verga:
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization. CoRR abs/2204.13761 (2022) - [i20]Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting:
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. CoRR abs/2207.00630 (2022) - [i19]Wenhu Chen, Hexiang Hu
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. CoRR abs/2210.02928 (2022) - [i18]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
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR abs/2212.08037 (2022) - [i17]Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga:
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. CoRR abs/2212.10381 (2022) - 2021
- [i16]Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen:
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. CoRR abs/2102.07043 (2021) - [i15]Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar:
Multilingual Fact Linking. CoRR abs/2109.14364 (2021) - 2020
- [i14]Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen:
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge. CoRR abs/2007.00849 (2020) - 2019
- [i13]Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum:
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders. CoRR abs/1904.02142 (2019) - [i12]Trapit Bansal, Patrick Verga, Neha Choudhary, Andrew McCallum:
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision. CoRR abs/1912.01070 (2019) - 2018
- [i11]Patrick Verga, Emma Strubell, Andrew McCallum:
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction. CoRR abs/1802.10569 (2018) - [i10]Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum:
Linguistically-Informed Self-Attention for Semantic Role Labeling. CoRR abs/1804.08199 (2018) - [i9]Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, Andrew McCallum:
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking. CoRR abs/1807.05127 (2018) - 2017
- [i8]Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum:
Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions. CoRR abs/1702.02098 (2017) - [i7]Patrick Verga, Emma Strubell, Ofer Shai, Andrew McCallum:
Attending to All Mention Pairs for Full Abstract Biological Relation Extraction. CoRR abs/1710.08312 (2017) - [i6]Shikhar Murty, Patrick Verga, Luke Vilnis, Andrew McCallum:
Finer Grained Entity Typing with TypeNet. CoRR abs/1711.05795 (2017) - 2016
- [i5]Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum:
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. TAC 2016 - [i4]Patrick Verga, Andrew McCallum:
Row-less Universal Schema. CoRR abs/1604.06361 (2016) - [i3]Patrick Verga, Arvind Neelakantan, Andrew McCallum:
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema. CoRR abs/1606.05804 (2016) - 2015
- [i2]Benjamin Roth, Nicholas Monath, David Belanger, Emma Strubell, Patrick Verga, Andrew McCallum:
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. TAC 2015 - [i1]Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum:
Multilingual Relation Extraction using Compositional Universal Schema. CoRR abs/1511.06396 (2015)
Coauthor Index
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