Ryan Cotterell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
194
Venues
15
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
194 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | On the Proper Treatment of Units in Surprisal Theory. | Samuel Kiegeland, Vsteinn Snbjarnarson, Tim Vieira, Ryan Cotterell |
| 2026 | ACL | Characterizing the Expressivity of Local Attention in Transformers. | Jiaoda Li, Ryan Cotterell |
| 2026 | ACL | Prefix Parsing is Just Parsing. | Clemente Pasti, Andreas Opedal, Timothy J. O'Donnell, Ryan Cotterell, Tim Vieira |
| 2026 | ACL | Probing for Reading Times. | Eleftheria Tsipidi, Samuel Kiegeland, Francesco Ignazio Re, Tianyang Xu, Mario Giulianelli, Karolina Stanczak, Ryan Cotterell |
| 2025 | ACL | Unique Hard Attention: A Tale of Two Sides. | Selim Jerad, Anej Svete, Jiaoda Li, Ryan Cotterell |
| 2025 | ACL | A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior. | Francesco Ignazio Re, Andreas Opedal, Glib Manaiev, Mario Giulianelli, Ryan Cotterell |
| 2025 | ACL | Information Locality as an Inductive Bias for Neural Language Models. | Taiga Someya, Anej Svete, Brian DuSell, Timothy J. O'Donnell, Mario Giulianelli, Ryan Cotterell |
| 2025 | ACL | The Harmonic Structure of Information Contours. | Eleftheria Tsipidi, Samuel Kiegeland, Franz Nowak, Tianyang Xu, Ethan Wilcox, Alex Warstadt, Ryan Cotterell, Mario Giulianelli |
| 2025 | ACL | Syntactic Control of Language Models by Posterior Inference. | Vicky Xefteri, Tim Vieira, Ryan Cotterell, Afra Amini |
| 2025 | CVPR | Taxonomy-Aware Evaluation of Vision-Language Models. | Vsteinn Snbjarnarson, Kevin Du, Niklas Stoehr, Serge J. Belongie, Ryan Cotterell, Nico Lang, Stella Frank |
| 2025 | EMNLP | How Persuasive Is Your Context? | Tu Nguyen, Kevin Du, Alexander Miserlis Hoyle, Ryan Cotterell |
| 2025 | ICLR | Variational Best-of-N Alignment. | Afra Amini, Tim Vieira, Elliott Ash, Ryan Cotterell |
| 2025 | ICLR | Training Neural Networks as Recognizers of Formal Languages. | Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef Valvoda, Ryan Cotterell, Brian DuSell |
| 2025 | ICLR | The Foundations of Tokenization: Statistical and Computational Concerns. | Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell |
| 2025 | ICLR | Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. | Joo Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell |
| 2025 | ICLR | Controllable Context Sensitivity and the Knob Behind It. | Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell |
| 2025 | ICLR | Gumbel Counterfactual Generation From Language Models. | Shauli Ravfogel, Anej Svete, Vsteinn Snbjarnarson, Ryan Cotterell |
| 2025 | ICML | Language Models over Canonical Byte-Pair Encodings. | Tim Vieira, Tianyu Liu, Clemente Pasti, Yahya Emara, Brian DuSell, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Timothy J. O'Donnell, Ryan Cotterell |
| 2025 | ICML | From Language Models over Tokens to Language Models over Characters. | Tim Vieira, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Brian DuSell, John Terilla, Timothy J. O'Donnell, Ryan Cotterell |
| 2025 | NAACL | A Practical Method for Generating String Counterfactuals. | Matan Avitan, Ryan Cotterell, Yoav Goldberg, Shauli Ravfogel |
| 2025 | NAACL | A Distributional Perspective on Word Learning in Neural Language Models. | Filippo Ficarra, Ryan Cotterell, Alex Warstadt |
| 2025 | NAACL | Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation. | Tianyu Liu, Jirui Qi, Paul He, Arianna Bisazza, Mrinmaya Sachan, Ryan Cotterell |
| 2024 | ACL | Direct Preference Optimization with an Offset. | Afra Amini, Tim Vieira, Ryan Cotterell |
| 2024 | ACL | What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. | Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell |
| 2024 | ACL | Computational Expressivity of Neural Language Models. | Alexandra Butoi, Robin Chan, Ryan Cotterell, William Merrill, Franz Nowak, Clemente Pasti, Lena Strobl, Anej Svete |
| 2024 | ACL | When is a Language Process a Language Model? | Li Du, Holden Lee, Jason Eisner, Ryan Cotterell |
| 2024 | ACL | Context versus Prior Knowledge in Language Models. | Kevin Du, Vsteinn Snbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell |
| 2024 | ACL | What Do Language Models Learn in Context? The Structured Task Hypothesis. | Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell |
| 2024 | ACL | On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. | Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell |
| 2024 | ACL | On Efficiently Representing Regular Languages as RNNs. | Anej Svete, Robin Chan, Ryan Cotterell |
| 2024 | CogSci | Insights from the first BabyLM Challenge: Training sample-efficient language models on a developmentally plausible corpus. | Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Gotlieb Wilcox, Chengxu Zhuang, Adina Williams, Ryan Cotterell, Tal Linzen |
| 2024 | EMNLP | Efficiently Computing Susceptibility to Context in Language Models. | Tianyu Liu, Kevin Du, Mrinmaya Sachan, Ryan Cotterell |
| 2024 | EMNLP | On the Proper Treatment of Tokenization in Psycholinguistics. | Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell |
| 2024 | EMNLP | Generalized Measures of Anticipation and Responsivity in Online Language Processing. | Mario Giulianelli, Andreas Opedal, Ryan Cotterell |
| 2024 | EMNLP | Reverse-Engineering the Reader. | Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell |
| 2024 | EMNLP | On the Role of Context in Reading Time Prediction. | Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Wilcox |
| 2024 | EMNLP | An L* Algorithm for Deterministic Weighted Regular Languages. | Clemente Pasti, Talu Karagz, Franz Nowak, Anej Svete, Reda Boumasmoud, Ryan Cotterell |
| 2024 | EMNLP | Activation Scaling for Steering and Interpreting Language Models. | Niklas Stoehr, Kevin Du, Vsteinn Snbjarnarson, Robert West, Ryan Cotterell, Aaron Schein |
| 2024 | EMNLP | Can Transformers Learn n-gram Language Models? | Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell |
| 2024 | EMNLP | A Probability-Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. | Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell |
| 2024 | EMNLP | Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse. | Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt |
| 2024 | ICML | Principled Gradient-Based MCMC for Conditional Sampling of Text. | Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell |
| 2024 | ICML | Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? | Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schlkopf, Abulhair Saparov, Mrinmaya Sachan |
| 2024 | ICML | Representation Surgery: Theory and Practice of Affine Steering. | Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru |
| 2024 | IROS | NARRATE: Versatile Language Architecture for Optimal Control in Robotics. | Seif Ismail, Antonio Arbues, Ryan Cotterell, Ren Zurbrgg, Carmen Amo Alonso |
| 2024 | NAACL | A Transformer with Stack Attention. | Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell |
| 2024 | NAACL | The Role of n-gram Smoothing in the Age of Neural Networks. | Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell |
| 2024 | NAACL | Transformers Can Represent n-gram Language Models. | Anej Svete, Ryan Cotterell |
| 2024 | NAACL | Lower Bounds on the Expressivity of Recurrent Neural Language Models. | Anej Svete, Franz Nowak, Anisha Mohamed Sahabdeen, Ryan Cotterell |
| 2024 | NAACL | Towards Explainability in Legal Outcome Prediction Models. | Josef Valvoda, Ryan Cotterell |
| 2023 | AAAI | A Latent-Variable Model for Intrinsic Probing. | Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein |
| 2023 | ACL | Hexatagging: Projective Dependency Parsing as Tagging. | Afra Amini, Tianyu Liu, Ryan Cotterell |
| 2023 | ACL | Convergence and Diversity in the Control Hierarchy. | Alexandra Butoi, Ryan Cotterell, David Chiang |
| 2023 | ACL | A Measure-Theoretic Characterization of Tight Language Models. | Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell |
| 2023 | ACL | Generalizing Backpropagation for Gradient-Based Interpretability. | Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alex Warstadt, Ryan Cotterell |
| 2023 | ACL | Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. | Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | ACL | On the Efficacy of Sampling Adapters. | Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Wilcox, Ryan Cotterell |
| 2023 | ACL | A Fast Algorithm for Computing Prefix Probabilities. | Franz Nowak, Ryan Cotterell |
| 2023 | ACL | Efficient Semiring-Weighted Earley Parsing. | Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner |
| 2023 | ACL | Linear Guardedness and its Implications. | Shauli Ravfogel, Yoav Goldberg, Ryan Cotterell |
| 2023 | ACL | An Ordinal Latent Variable Model of Conflict Intensity. | Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein |
| 2023 | ACL | Tokenization and the Noiseless Channel. | Vilm Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | ACL | A Formal Perspective on Byte-Pair Encoding. | Vilm Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | AISTATS | The Ordered Matrix Dirichlet for State-Space Models. | Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein |
| 2023 | EACL | On the Intersection of Context-Free and Regular Languages. | Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell |
| 2023 | EACL | Sentiment as an Ordinal Latent Variable. | Niklas Stoehr, Ryan Cotterell, Aaron Schein |
| 2023 | EMNLP | Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. | Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | EMNLP | Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages. | Alexandra Butoi, Tim Vieira, Ryan Cotterell, David Chiang |
| 2023 | EMNLP | On the Representational Capacity of Recurrent Neural Language Models. | Franz Nowak, Anej Svete, Li Du, Ryan Cotterell |
| 2023 | EMNLP | An Exploration of Left-Corner Transformations. | Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira |
| 2023 | EMNLP | Revisiting the Optimality of Word Lengths. | Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell |
| 2023 | EMNLP | Recurrent Neural Language Models as Probabilistic Finite-state Automata. | Anej Svete, Ryan Cotterell |
| 2023 | EMNLP | Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages. | Ethan Wilcox, Clara Meister, Ryan Cotterell, Tiago Pimentel |
| 2023 | EMNLP | Quantifying the redundancy between prosody and text. | Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev |
| 2023 | ICLR | On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation. | Tiago Pimentel, Clara Meister, Ryan Cotterell |
| 2023 | ICML | Controlled Text Generation with Natural Language Instructions. | Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan |
| 2022 | ACL | Estimating the Entropy of Linguistic Distributions. | Aryaman Arora, Clara Meister, Ryan Cotterell |
| 2022 | ACL | Probing as Quantifying Inductive Bias. | Alexander Immer, Lucas Torroba Hennigen, Vincent Fortuin, Ryan Cotterell |
| 2022 | ACL | Probing for the Usage of Grammatical Number. | Karim Lasri, Tiago Pimentel, Alessandro Lenci, Thierry Poibeau, Ryan Cotterell |
| 2022 | ACL | Analyzing Wrap-Up Effects through an Information-Theoretic Lens. | Clara Meister, Tiago Pimentel, Thomas Hikaru Clark, Ryan Cotterell, Roger Levy |
| 2022 | ACL | High probability or low information? The probability-quality paradox in language generation. | Clara Meister, Gian Wiher, Tiago Pimentel, Ryan Cotterell |
| 2022 | COLING | Benchmarking Compositionality with Formal Languages. | Josef Valvoda, Naomi Saphra, Jonathan Rawski, Adina Williams, Ryan Cotterell |
| 2022 | COLING | Equivariant Transduction through Invariant Alignment. | Jennifer C. White, Ryan Cotterell |
| 2022 | EMNLP | On Parsing as Tagging. | Afra Amini, Ryan Cotterell |
| 2022 | EMNLP | Algorithms for Weighted Pushdown Automata. | Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang |
| 2022 | EMNLP | Autoregressive Structured Prediction with Language Models. | Tianyu Liu, Yuchen Eleanor Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan |
| 2022 | EMNLP | Attentional Probe: Estimating a Module's Functional Potential. | Tiago Pimentel, Josef Valvoda, Niklas Stoehr, Ryan Cotterell |
| 2022 | EMNLP | Mutual Information Alleviates Hallucinations in Abstractive Summarization. | Liam van der Poel, Ryan Cotterell, Clara Meister |
| 2022 | EMNLP | Adversarial Concept Erasure in Kernel Space. | Shauli Ravfogel, Francisco Vargas, Yoav Goldberg, Ryan Cotterell |
| 2022 | EMNLP | Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. | Anej Svete, Benjamin Dayan, Ryan Cotterell, Tim Vieira, Jason Eisner |
| 2022 | ICML | Linear Adversarial Concept Erasure. | Shauli Ravfogel, Michael Twiton, Yoav Goldberg, Ryan Cotterell |
| 2022 | LREC | UniMorph 4.0: Universal Morphology. | Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieras, Gbor Bella, Brian Leonard, Garrett Nicolai, Kyle Gorman, Yustinus Ghanggo Ate, Maria Ryskina, Sabrina J. Mielke, Elena Budianskaya, Charbel El-Khaissi, Tiago Pimentel, Michael Gasser, William Abbott Lane, Mohit Raj, Matt Coler, Jaime Rafael Montoya Samame, Delio Siticonatzi Camaiteri, Esa Zumaeta Rojas, Didier Lpez Francis, Arturo Oncevay, Juan Lpez Bautista, Gema Celeste Silva Villegas, Lucas Torroba Hennigen, Adam Ek, David Guriel, Peter Dirix, Jean-Philippe Bernardy, Andrey Scherbakov, Aziyana Bayyr-ool, Antonios Anastasopoulos, Roberto Zariquiey, Karina Sheifer, Sofya Ganieva, Hilaria Cruz, Ritvn Karahga, Stella Markantonatou, George Pavlidis, Matvey Plugaryov, Elena Klyachko, Ali Salehi, Candy Angulo, Jatayu Baxi, Andrew Krizhanovsky, Natalia Krizhanovskaya, Elizabeth Salesky, Clara Vania, Sardana Ivanova, Jennifer C. White, Rowan Hall Maudslay, Josef Valvoda, Ran Zmigrod, Paula Czarnowska, Irene Nikkarinen, Aelita Salchak, Brijesh Bhatt, Christopher Straughn, Zoey Liu, Jonathan North Washington, Yuval Pinter, Duygu Ataman, Marcin Wolinski, Totok Suhardijanto, Anna Yablonskaya, Niklas Stoehr, Hossep Dolatian, Zahroh Nuriah, Shyam Ratan, Francis M. Tyers, Edoardo M. Ponti, Grant Aiton, Aryaman Arora, Richard J. Hatcher, Ritesh Kumar, Jeremiah Young, Daria Rodionova, Anastasia Yemelina, Taras Andrushko, Igor Marchenko, Polina Mashkovtseva, Alexandra Serova, Emily Prud'hommeaux, Maria Nepomniashchaya, Fausto Giunchiglia, Eleanor Chodroff, Mans Hulden, Miikka Silfverberg, Arya D. McCarthy, David Yarowsky, Ryan Cotterell, Reut Tsarfaty, Ekaterina Vylomova |
| 2022 | NAACL | BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. | Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou |
| 2022 | NAACL | Probing via Prompting. | Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan |
| 2022 | NAACL | A Structured Span Selector. | Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan |
| 2022 | NAACL | Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. | Karolina Stanczak, Edoardo M. Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein |
| 2022 | NAACL | On the Machine Learning of Ethical Judgments from Natural Language. | Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams |
| 2022 | NAACL | Exact Paired-Permutation Testing for Structured Test Statistics. | Ran Zmigrod, Tim Vieira, Ryan Cotterell |
| 2021 | ACL | Language Model Evaluation Beyond Perplexity. | Clara Meister, Ryan Cotterell |
| 2021 | ACL | Determinantal Beam Search. | Clara Meister, Martina Forster, Ryan Cotterell |
| 2021 | ACL | Is Sparse Attention more Interpretable? | Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell |
| 2021 | ACL | Modeling the Unigram Distribution. | Irene Nikkarinen, Tiago Pimentel, Damin E. Blasi, Ryan Cotterell |
| 2021 | ACL | A Cognitive Regularizer for Language Modeling. | Jason Wei, Clara Meister, Ryan Cotterell |
| 2021 | ACL | Examining the Inductive Bias of Neural Language Models with Artificial Languages. | Jennifer C. White, Ryan Cotterell |
| 2021 | ACL | On Finding the K-best Non-projective Dependency Trees. | Ran Zmigrod, Tim Vieira, Ryan Cotterell |
| 2021 | ACL | Higher-order Derivatives of Weighted Finite-state Machines. | Ran Zmigrod, Tim Vieira, Ryan Cotterell |
| 2021 | EACL | Searching for Search Errors in Neural Morphological Inflection. | Martina Forster, Clara Meister, Ryan Cotterell |
| 2021 | EACL | Disambiguatory Signals are Stronger in Word-initial Positions. | Tiago Pimentel, Ryan Cotterell, Brian Roark |
| 2021 | EACL | Applying the Transformer to Character-level Transduction. | Shijie Wu, Ryan Cotterell, Mans Hulden |
| 2021 | EMNLP | Conditional Poisson Stochastic Beams. | Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell |
| 2021 | EMNLP | Revisiting the Uniform Information Density Hypothesis. | Clara Meister, Tiago Pimentel, Patrick Haller, Lena A. Jger, Ryan Cotterell, Roger Levy |
| 2021 | EMNLP | A Plug-and-Play Method for Controlled Text Generation. | Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer |
| 2021 | EMNLP | A Bayesian Framework for Information-Theoretic Probing. | Tiago Pimentel, Ryan Cotterell |
| 2021 | EMNLP | A surprisal-duration trade-off across and within the world's languages. | Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damin E. Blasi, Ryan Cotterell |
| 2021 | EMNLP | On Homophony and Rnyi Entropy. | Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell |
| 2021 | EMNLP | Classifying Dyads for Militarized Conflict Analysis. | Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, Ryan Cotterell |
| 2021 | EMNLP | Searching for More Efficient Dynamic Programs. | Tim Vieira, Ryan Cotterell, Jason Eisner |
| 2021 | EMNLP | Efficient Sampling of Dependency Structure. | Ran Zmigrod, Tim Vieira, Ryan Cotterell |
| 2021 | NAACL | Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing. | Rowan Hall Maudslay, Ryan Cotterell |
| 2021 | NAACL | How (Non-)Optimal is the Lexicon? | Tiago Pimentel, Irene Nikkarinen, Kyle Mahowald, Ryan Cotterell, Damin E. Blasi |
| 2021 | NAACL | Finding Concept-specific Biases in Form-Meaning Associations. | Tiago Pimentel, Brian Roark, Sren Wichmann, Ryan Cotterell, Damin E. Blasi |
| 2021 | NAACL | What About the Precedent: An Information-Theoretic Analysis of Common Law. | Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel |
| 2021 | NAACL | A Non-Linear Structural Probe. | Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell |
| 2020 | ACL | It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. | Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki |
| 2020 | ACL | The Paradigm Discovery Problem. | Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell, Nizar Habash |
| 2020 | ACL | A Tale of a Probe and a Parser. | Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams, Ryan Cotterell |
| 2020 | ACL | Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing. | Clara Meister, Elizabeth Salesky, Ryan Cotterell |
| 2020 | ACL | Information-Theoretic Probing for Linguistic Structure. | Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell |
| 2020 | ACL | A Corpus for Large-Scale Phonetic Typology. | Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W. Black, Jason Eisner |
| 2020 | ACL | Predicting Declension Class from Form and Meaning. | Adina Williams, Tiago Pimentel, Hagen Blix, Arya D. McCarthy, Eleanor Chodroff, Ryan Cotterell |
| 2020 | COLING | Morphologically Aware Word-Level Translation. | Paula Czarnowska, Sebastian Ruder, Ryan Cotterell, Ann A. Copestake |
| 2020 | EMNLP | Intrinsic Probing through Dimension Selection. | Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell |
| 2020 | EMNLP | Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model. | Jun Yen Leung, Guy Emerson, Ryan Cotterell |
| 2020 | EMNLP | Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions. | Arya D. McCarthy, Adina Williams, Shijia Liu, David Yarowsky, Ryan Cotterell |
| 2020 | EMNLP | If beam search is the answer, what was the question? | Clara Meister, Ryan Cotterell, Tim Vieira |
| 2020 | EMNLP | Speakers Fill Lexical Semantic Gaps with Context. | Tiago Pimentel, Rowan Hall Maudslay, Damin E. Blasi, Ryan Cotterell |
| 2020 | EMNLP | Pareto Probing: Trading Off Accuracy for Complexity. | Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell |
| 2020 | EMNLP | Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. | Francisco Vargas, Ryan Cotterell |
| 2020 | EMNLP | Please Mind the Root: Decoding Arborescences for Dependency Parsing. | Ran Zmigrod, Tim Vieira, Ryan Cotterell |
| 2020 | LREC | UniMorph 3.0: Universal Morphology. | Arya D. McCarthy, Christo Kirov, Matteo Grella, Amrit Nidhi, Patrick Xia, Kyle Gorman, Ekaterina Vylomova, Sabrina J. Mielke, Garrett Nicolai, Miikka Silfverberg, Timofey Arkhangelskiy, Nataly Krizhanovsky, Andrew Krizhanovsky, Elena Klyachko, Alexey Sorokin, John Mansfield, Valts Ernstreits, Yuval Pinter, Cassandra L. Jacobs, Ryan Cotterell, Mans Hulden, David Yarowsky |
| 2019 | ACL | Uncovering Probabilistic Implications in Typological Knowledge Bases. | Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein |
| 2019 | ACL | On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study. | Damin E. Blasi, Ryan Cotterell, Lawrence Wolf-Sonkin, Sabine Stoll, Balthasar Bickel, Marco Baroni |
| 2019 | ACL | Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. | Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell |
| 2019 | ACL | What Kind of Language Is Hard to Language-Model? | S. J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner |
| 2019 | ACL | Meaning to Form: Measuring Systematicity as Information. | Tiago Pimentel, Arya D. McCarthy, Damin E. Blasi, Brian Roark, Ryan Cotterell |
| 2019 | ACL | Exact Hard Monotonic Attention for Character-Level Transduction. | Shijie Wu, Ryan Cotterell |
| 2019 | ACL | Morphological Irregularity Correlates with Frequency. | Shijie Wu, Ryan Cotterell, Timothy J. O'Donnell |
| 2019 | ACL | Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology. | Ran Zmigrod, S. J. Mielke, Hanna M. Wallach, Ryan Cotterell |
| 2019 | CoNLL | Weird Inflects but OK: Making Sense of Morphological Generation Errors. | Kyle Gorman, Arya D. McCarthy, Ryan Cotterell, Ekaterina Vylomova, Miikka Silfverberg, Magdalena Markowska |
| 2019 | EMNLP | Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. | Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann A. Copestake |
| 2019 | EMNLP | It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. | Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, Simone Teufel |
| 2019 | EMNLP | Towards Zero-shot Language Modeling. | Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Roi Reichart, Anna Korhonen |
| 2019 | EMNLP | Quantifying the Semantic Core of Gender Systems. | Adina Williams, Damin E. Blasi, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell |
| 2019 | EMNLP | Examining Gender Bias in Languages with Grammatical Gender. | Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang |
| 2019 | NAACL | A Probabilistic Generative Model of Linguistic Typology. | Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein |
| 2019 | NAACL | Combining Sentiment Lexica with a Multi-View Variational Autoencoder. | Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein |
| 2019 | NAACL | On the Idiosyncrasies of the Mandarin Chinese Classifier System. | Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell |
| 2019 | NAACL | A Simple Joint Model for Improved Contextual Neural Lemmatization. | Chaitanya Malaviya, Shijie Wu, Ryan Cotterell |
| 2019 | NAACL | Contextualization of Morphological Inflection. | Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin, Jason Eisner |
| 2019 | NAACL | Gender Bias in Contextualized Word Embeddings. | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang |
| 2018 | ACL | A Structured Variational Autoencoder for Contextual Morphological Inflection. | Lawrence Wolf-Sonkin, Jason Naradowsky, S. J. Mielke, Ryan Cotterell |
| 2018 | CoNLL | The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. | Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Graldine Walther, Ekaterina Vylomova, Arya D. McCarthy, Katharina Kann, S. J. Mielke, Garrett Nicolai, Miikka Silfverberg, David Yarowsky, Jason Eisner, Mans Hulden |
| 2018 | CoNLL | Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. | Yova Kementchedjhieva, Sebastian Ruder, Ryan Cotterell, Anders Sgaard |
| 2018 | EMNLP | A Discriminative Latent-Variable Model for Bilingual Lexicon Induction. | Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva, Anders Sgaard |
| 2018 | EMNLP | Hard Non-Monotonic Attention for Character-Level Transduction. | Shijie Wu, Pamela Shapiro, Ryan Cotterell |
| 2018 | LREC | UniMorph 2.0: Universal Morphology. | Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Graldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, S. J. Mielke, Arya McCarthy, Sandra Kbler, David Yarowsky, Jason Eisner, Mans Hulden |
| 2018 | NAACL | A Deep Generative Model of Vowel Formant Typology. | Ryan Cotterell, Jason Eisner |
| 2018 | NAACL | Unsupervised Disambiguation of Syncretism in Inflected Lexicons. | Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner |
| 2018 | NAACL | Are All Languages Equally Hard to Language-Model? | Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark |
| 2017 | ACL | Probabilistic Typology: Deep Generative Models of Vowel Inventories. | Ryan Cotterell, Jason Eisner |
| 2017 | ACL | One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. | Katharina Kann, Ryan Cotterell, Hinrich Schtze |
| 2017 | CoNLL | CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages. | Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Graldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kbler, David Yarowsky, Jason Eisner, Mans Hulden |
| 2017 | EACL | Context-Aware Prediction of Derivational Word-forms. | Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn |
| 2017 | EACL | Neural Graphical Models over Strings for Principal Parts Morphological Paradigm Completion. | Ryan Cotterell, John Sylak-Glassman, Christo Kirov |
| 2017 | EACL | A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax. | Christo Kirov, John Sylak-Glassman, Rebecca Knowles, Ryan Cotterell, Matt Post |
| 2017 | EACL | Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. | Ryan Cotterell, Adam Poliak, Benjamin Van Durme, Jason Eisner |
| 2017 | EACL | Morphological Analysis of the Dravidian Language Family. | Arun Kumar, Ryan Cotterell, Llus Padr, Antoni Oliver |
| 2017 | EACL | Neural Multi-Source Morphological Reinflection. | Katharina Kann, Ryan Cotterell, Hinrich Schtze |
| 2017 | EMNLP | Cross-lingual Character-Level Neural Morphological Tagging. | Ryan Cotterell, Georg Heigold |
| 2017 | EMNLP | Paradigm Completion for Derivational Morphology. | Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky |
| 2017 | IJCNLP | Low-Resource Named Entity Recognition with Cross-lingual, Character-Level Neural Conditional Random Fields. | Ryan Cotterell, Kevin Duh |
| 2016 | ACL | Morphological Smoothing and Extrapolation of Word Embeddings. | Ryan Cotterell, Hinrich Schtze, Jason Eisner |
| 2016 | EMNLP | Morphological Segmentation Inside-Out. | Ryan Cotterell, Arun Kumar, Hinrich Schtze |
| 2016 | EMNLP | Neural Morphological Analysis: Encoding-Decoding Canonical Segments. | Katharina Kann, Ryan Cotterell, Hinrich Schtze |
| 2016 | EMNLP | Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity. | Tim Vieira, Ryan Cotterell, Jason Eisner |
| 2016 | NAACL | A Joint Model of Orthography and Morphological Segmentation. | Ryan Cotterell, Tim Vieira, Hinrich Schtze |
| 2016 | NAACL | Weighting Finite-State Transductions With Neural Context. | Pushpendre Rastogi, Ryan Cotterell, Jason Eisner |
| 2015 | CoNLL | Labeled Morphological Segmentation with Semi-Markov Models. | Ryan Cotterell, Thomas Mller, Alexander M. Fraser, Hinrich Schtze |
| 2015 | EMNLP | Joint Lemmatization and Morphological Tagging with Lemming. | Thomas Mller, Ryan Cotterell, Alexander M. Fraser, Hinrich Schtze |
| 2015 | EMNLP | Dual Decomposition Inference for Graphical Models over Strings. | Nanyun Peng, Ryan Cotterell, Jason Eisner |
| 2015 | NAACL | Penalized Expectation Propagation for Graphical Models over Strings. | Ryan Cotterell, Jason Eisner |
| 2015 | NAACL | Morphological Word-Embeddings. | Ryan Cotterell, Hinrich Schtze |
| 2014 | ACL | Stochastic Contextual Edit Distance and Probabilistic FSTs. | Ryan Cotterell, Nanyun Peng, Jason Eisner |
| 2014 | LREC | A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic. | Ryan Cotterell, Chris Callison-Burch |