Matthew R. Gormley

According to our database, Matthew R. Gormley authored at least 36 papers between 2010 and 2023.

Collaborative distances:

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

2023

Learning Mutually Informed Representations for Characters and Subwords.

Yilin Wang, Xinyi Hu, Matthew R. Gormley

CoRR, 2023

It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk.

Amanda Bertsch, Alex Xie, Graham Neubig, Matthew R. Gormley

CoRR, 2023

Unlimiformer: Long-Range Transformers with Unlimited Length Input.

Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MDACE: MIMIC Documents Annotated with Code Evidence.

Hua Cheng, Rana Jafari, April Russell, Russell Klopfer, Edmond Lu, Benjamin Striner, Matthew R. Gormley

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

SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization.

Yash Mathur, Sanketh Rangreji, Raghav Kapoor, Medha Palavalli, Amanda Bertsch, Matthew R. Gormley

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Revisiting text decomposition methods for NLI-based factuality scoring of summaries.

John Glover, Federico Fancellu, Vasudevan Jagannathan, Matthew R. Gormley, Thomas Schaaf

CoRR, 2022

AdaFocal: Calibration-aware Adaptive Focal Loss.

Arindam Ghosh, Thomas Schaaf, Matthew R. Gormley

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues.

Amanda Bertsch, Graham Neubig, Matthew R. Gormley

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

On Efficiently Acquiring Annotations for Multilingual Models.

Joel Ruben Antony Moniz, Barun Patra, Matthew R. Gormley

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction.

Maria Ryskina, Eduard H. Hovy, Taylor Berg-Kirkpatrick, Matthew R. Gormley

CoRR, 2021

Limitations of Autoregressive Models and Their Alternatives.

Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner

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

Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations.

Longxiang Zhang, Renato Negrinho, Arindam Ghosh, Vasudevan Jagannathan, Hamid Reza Hassanzadeh, Thomas Schaaf, Matthew R. Gormley

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Effective Convolutional Attention Network for Multi-label Clinical Document Classification.

Yang Liu, Hua Cheng, Russell Klopfer, Matthew R. Gormley, Thomas Schaaf

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Autoregressive Modeling is Misspecified for Some Sequence Distributions.

Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner

CoRR, 2020

An Empirical Investigation of Beam-Aware Training in Supertagging.

Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Training for Gibbs Sampling on Conditional Random Fields with Neural Scoring Factors.

Sida Gao, Matthew R. Gormley

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Phonetic and Visual Priors for Decipherment of Informal Romanization.

Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Towards modular and programmable architecture search.

Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon, Darshan Patil, Nghia Le, Daniel Ferreira

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Finite-State Transducers: Beyond Rational Relations.

Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner

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

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces.

Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Learning Beam Search Policies via Imitation Learning.

Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural Factor Graph Models for Cross-lingual Morphological Tagging.

Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig

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

2017

Semantic Proto-Role Labeling.

Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Embedding Lexical Features via Low-Rank Tensors.

Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley

Proceedings of the NAACL HLT 2016, 2016

2015

Approximation-Aware Dependency Parsing by Belief Propagation.

Matthew R. Gormley, Mark Dredze, Jason Eisner

Trans. Assoc. Comput. Linguistics, 2015

Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction.

Mo Yu, Matthew R. Gormley, Mark Dredze

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A Concrete Chinese NLP Pipeline.

Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Improved Relation Extraction with Feature-Rich Compositional Embedding Models.

Matthew R. Gormley, Mo Yu, Mark Dredze

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Structured Belief Propagation for NLP.

Matthew R. Gormley, Jason Eisner

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Low-Resource Semantic Role Labeling.

Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Topic Models and Metadata for Visualizing Text Corpora.

Justin Snyder, Rebecca Knowles, Mark Dredze, Matthew R. Gormley, Travis Wolfe

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Nonconvex Global Optimization for Latent-Variable Models.

Matthew R. Gormley, Jason Eisner

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Annotated Gigaword.

Courtney Napoles, Matthew R. Gormley, Benjamin Van Durme

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Entity Clustering Across Languages.

Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Shared Components Topic Models.

Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

2010

Non-Expert Correction of Automatically Generated Relation Annotations.

Matthew R. Gormley, Adam Gerber, Mary P. Harper, Mark Dredze

Proceedings of the 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, 2010