Matthew R. Gormley
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
4
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | NAACL | In-Context Learning with Long-Context Models: An In-Depth Exploration. | Amanda Bertsch, Maor Ivgi, Emily Xiao, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig |
| 2025 | SIGCSE | Larger than Life In-Class Demonstrations for Introductory Machine Learning. | Henry Chai, Matthew R. Gormley |
| 2022 | EMNLP | He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues. | Amanda Bertsch, Graham Neubig, Matthew R. Gormley |
| 2021 | EMNLP | Effective Convolutional Attention Network for Multi-label Clinical Document Classification. | Yang Liu, Hua Cheng, Russell Klopfer, Matthew R. Gormley, Thomas Schaaf |
| 2021 | EMNLP | 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 |
| 2021 | NAACL | Limitations of Autoregressive Models and Their Alternatives. | Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner |
| 2020 | ACL | Phonetic and Visual Priors for Decipherment of Informal Romanization. | Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick |
| 2020 | EMNLP | Training for Gibbs Sampling on Conditional Random Fields with Neural Scoring Factors. | Sida Gao, Matthew R. Gormley |
| 2020 | EMNLP | An Empirical Investigation of Beam-Aware Training in Supertagging. | Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon |
| 2019 | ACL | Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces. | Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig |
| 2019 | NAACL | Neural Finite-State Transducers: Beyond Rational Relations. | Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner |
| 2018 | ACL | Neural Factor Graph Models for Cross-lingual Morphological Tagging. | Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig |
| 2016 | NAACL | Embedding Lexical Features via Low-Rank Tensors. | Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley |
| 2015 | ACL | Structured Belief Propagation for NLP. | Matthew R. Gormley, Jason Eisner |
| 2015 | EMNLP | Improved Relation Extraction with Feature-Rich Compositional Embedding Models. | Matthew R. Gormley, Mo Yu, Mark Dredze |
| 2015 | NAACL | 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 |
| 2015 | NAACL | Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction. | Mo Yu, Matthew R. Gormley, Mark Dredze |
| 2014 | ACL | Low-Resource Semantic Role Labeling. | Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze |
| 2013 | ACL | Nonconvex Global Optimization for Latent-Variable Models. | Matthew R. Gormley, Jason Eisner |
| 2012 | NAACL | Shared Components Topic Models. | Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner |
| 2012 | NAACL | Entity Clustering Across Languages. | Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning |
| 2010 | NAACL | Non-Expert Correction of Automatically Generated Relation Annotations. | Matthew R. Gormley, Adam Gerber, Mary P. Harper, Mark Dredze |