Matthew R. Gormley
25 papers · 2012–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🏃 Academic Marathon (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(13)
🧭
Keyword Pioneer
🧬
Topic Evolution
🗃️
Keyword Collector
(87)
📈
Trend Setter
💎
Century Club
(24)
🔥
Unstoppable
(5)
⚡
Prolific Year
(5)
Conferences
NAACL (8)
ACL (7)
EMNLP (7)
IJCNLP (2)
EACL (1)
Top co-authors
Research topics
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