← Authors

Matthew R. Gormley

25 papers · 2012–2026 · 5 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (53) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (13) 🧭 Keyword Pioneer 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (87) πŸ“ˆ Trend Setter πŸ’Ž Century Club (24) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (5)

Conferences

NAACL (8) ACL (7) EMNLP (7) IJCNLP (2) EACL (1)

Top co-authors

Mark Dredze (7) Jason Eisner (6) Graham Neubig (4) Mo Yu (4) Taylor Berg-Kirkpatrick (4) Maria Ryskina (4) Thomas Schaaf (3) Benjamin Van Durme (3) Chu-Cheng Lin (2) Eduard Hovy (2)

Research topics

Optimization (1)

Keywords

attention mechanism (3) neural network (3) finite-state model (2) conditional random field (2) unsupervised learning (2) style transfer (1) visual similarity (1) probabilistic modeling (1) cross-lingual transfer (1) in-context learning (1) named entity recognition (1) text generation (1) text summarization (1) multi-label classification (1) embedding space (1) maximum likelihood (1) neural network optimization (1) coreference resolution (1) gibbs sampling (1) summarization evaluation (1)

Papers

From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media EACL 2026
In-Context Learning with Long-Context Models: An In-Depth Exploration NAACL 2025
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues EMNLP 2022
Revisiting text decomposition methods for NLI-based factuality scoring of summaries EMNLP 2022
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction IJCNLP 2021
Effective Convolutional Attention Network for Multi-label Clinical Document Classification EMNLP 2021
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations EMNLP 2021
Limitations of Autoregressive Models and Their Alternatives NAACL 2021
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ACL 2021
An Empirical Investigation of Beam-Aware Training in Supertagging EMNLP 2020
Phonetic and Visual Priors for Decipherment of Informal Romanization ACL 2020
Training for Gibbs Sampling on Conditional Random Fields with Neural Scoring Factors EMNLP 2020
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces ACL 2019
Neural Finite-State Transducers: Beyond Rational Relations NAACL 2019
Neural Factor Graph Models for Cross-lingual Morphological Tagging ACL 2018
Embedding Lexical Features via Low-Rank Tensors NAACL 2016
Improved Relation Extraction with Feature-Rich Compositional Embedding Models EMNLP 2015
Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction NAACL 2015
A Concrete Chinese NLP Pipeline NAACL 2015
Structured Belief Propagation for NLP ACL 2015
Structured Belief Propagation for NLP IJCNLP 2015
Low-Resource Semantic Role Labeling ACL 2014
Nonconvex Global Optimization for Latent-Variable Models ACL 2013
Shared Components Topic Models NAACL 2012
Entity Clustering Across Languages NAACL 2012