Vésteinn Snæbjarnarson, Kevin Du, Niklas Stoehr, Serge Belongie, Ryan Cotterell, Nico Lang, Stella Frank
(2025).
Taxonomy-Aware Evaluation of Vision--Language Models.
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR).
Afra Amini, Tim Vieira, Elliott Ash, Ryan Cotterell
(2025).
Variational Best-of-$N$ Alignment.
Proceedings of the 11th International Conference on Learning Representations.
Selim Jerad, Anej Svete, Jiaoda Li, Ryan Cotterell
(2025).
Unique Hard Attention: A Tale of Two Sides.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef Valvoda, Ryan Cotterell, Brian DuSell
(2025).
Training Neural Networks as Recognizers of Formal Languages.
Proceedings of the 11th International Conference on Learning Representations.
Eleftheria Tsipidi, Samuel Kiegeland, Franz Nowak, Tianyang Xu, Ethan Wilcox, Alex Warstadt, Ryan Cotterell, Mario Giulianelli
(2025).
The Harmonic Structure of Information Contours.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
João 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).
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo.
Proceedings of the 13th International Conference on Learning Representations.
Tianyu Liu*, Jirui Qi*, Paul He, Arianna Bisazza, Mrinmaya Sachan, Ryan Cotterell
(2025).
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation.
Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).
Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
(2025).
On the challenges and opportunities in generative AI.
arXiv.
Tim Vieira, Tianyu Liu, Clemente Pasti, Yahya Emara, Brian DuSell, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, John Terilla, Timothy J. O'Donnell, Ryan Cotterell
(2025).
Language Models over Canonical Byte-Pair Encodings.
Proceedings of the 42nd International Conference on Machine Learning.
Taiga Someya, Anej Svete, Brian DuSell, Timothy J. O'Donnell, Mario Giulianelli, Ryan Cotterell
(2025).
Information Locality as an Inductive Bias for Neural Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Julian Minder*, Kevin Du*, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell
(2025).
Controllable Context Sensitivity and the Knob Behind It.
Proceedings of the 11th International Conference on Learning Representations.
Matan Avitan, Ryan Cotterell, Yoav Goldberg, Shauli Ravfogel
(2025).
A Practical Method for Generating String Counterfactuals.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).
Filippo Ficarra, Ryan Cotterell, Alex Warstadt
(2025).
A Distributional Perspective on Word Learning in Neural Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).
Robin S. M. Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell
(2024).
On Affine Homotopy between Language Encoders.
Advances in Neural Information Processing Systems 38 (2024).
Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell
(2024).
Reverse-Engineering the Reader.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.
Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Gotlieb Wilcox
(2024).
On The Role of Context in Reading Time Prediction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.
Clemente Pasti, Talu Karagöz, Anej Svete, Franz Nowak, Reda Boumasmoud, Ryan Cotterell
(2024).
An L* Algorithm for Deterministic Weighted Automata.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.
Anej Svete, Robin Shing Moon Chan, Ryan Cotterell
(2024).
On Efficiently Representing Regular Languages as RNNs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Anej Svete, Ryan Cotterell
(2024).
Transformers Can Represent n-gram Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).
Stephen Bothwell, Brian DuSell, David Chiang, Brian Krostenko
(2024).
PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).
Li Du, Holden Lee, Jason Eisner, Ryan Cotterell
(2024).
When is a Language Process a Language Model?.
Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Josef Valvoda, Ryan Cotterell
(2024).
Towards Explainability in Legal Outcome Prediction Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).
Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell
(2024).
The Role of $n$-gram Smoothing in the Age of Neural Networks.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Josef Valvoda, Alec Thompson, Ryan Cotterell, Simone Teufel
(2024).
The Ethics of Automating Legal Actors.
Transactions of the Association for Computational Linguistics.
Anej Svete$^*$, Franz Nowak$^*$, Anisha Mohamed Sahabdeen, Ryan Cotterell
(2024).
Lower Bounds on the Expressivity of Recurrent Neural Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).
Afra Amini, Tim Vieira, Ryan Cotterell
(2024).
Direct Preference Optimization with an Offset.
Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell
(2024).
Context versus Prior Knowledge in Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell
(2024).
A Transformer with Stack Attention.
Findings of the Association for Computational Linguistics: NAACL 2024.
Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell
(2023).
Revisiting the Optimality of Word Lengths.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev
(2023).
Quantifying the redundancy between prosody and text.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell
(2023).
On the Optimality of Word Lengths.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira
(2023).
An Exploration of Left-Corner Transformations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
Vilém Zouhar, Clara Meister, Juan Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell
(2023).
Tokenization and the Noiseless Channel.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Clara Meister, Tiago Pimentel, Luca Malagutti, Ryan Cotterell
(2023).
On the Efficacy of Sampling Adapters.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Tiago Pimentel, Clara Meister, Ethan G. Wilcox, Roger Levy, Ryan Cotterell
(2023).
On the Effect of Anticipation on Reading Times.
Transactions of the Association for Computational Linguistics.
Shauli Ravfogel, Yoav Goldberg, Ryan Cotterell
(2023).
Log-Linear Guardedness and Its Implications.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell
(2023).
Locally Typical Sampling.
Transactions of the Association for Computational Linguistics.
Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell
(2023).
Locally Typical Sampling.
Transactions of the Association for Computational Linguistics.
Afra Amini$^*$, Tianyu Liu$^*$, Ryan Cotterell
(2023).
Hexatagging: Projective Dependency Parsing as Tagging.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers).
Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alex Warstadt, Ryan Cotterell
(2023).
Generalizing Backpropagation for Gradient-Based Interpretability.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alex Warstadt, Ryan Cotterell
(2023).
Generalizing Backpropagation for Gradient-Based Interpretability.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner
(2023).
Efficient Semiring-Weighted Earley Parsing.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner
(2023).
Efficient Semiring-Weighted Earley Parsing.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Alexandra Butoi, Ryan Cotterell, David Chiang
(2023).
Convergence and Diversity in the Control Hierarchy.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein
(2023).
An Ordinal Latent Variable Model of Conflict Intensity.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell
(2023).
A Measure-theoretic Characterization of Tight Language Model.
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Vilém Zouhar, Clara Meister, Juan Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell
(2023).
A Formal Perspective on Byte-Pair Encoding.
Findings of the Association for Computational Linguistics: ACL 2023.
Niklas Stoehr, Ryan Cotterell, Aaron Schein
(2023).
Sentiment as an Ordinal Latent Variable.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.
Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell
(2023).
On the Intersection of Context-Free and Regular Languages.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.
Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein
(2023).
The Ordered Matrix Dirichlet for State-Space Models.
Proceedings of the 26th International Conference on Artificial Intelligence and Statistics.
Tiago Pimentel, Clara Meister, Ethan G. Wilcox, Roger P. Levy, Ryan Cotterell
(2023).
On the Effect of Anticipation on Reading Times.
Transactions of the Association for Computational Linguistics.
Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman
(2023).
LEACE: Perfect linear concept erasure in closed form.
Advances in Neural Information Processing Systems 36 (2024)..
Karolina Stańczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein
(2023).
A Latent-Variable Model for Intrinsic Probing.
Proceedings of the 37th AAAI Conference on Artificial Intelligence.
Tiago Pimentel*, Josef Valvoda*, Niklas Stoehr, Ryan Cotterell
(2022).
The Architectural Bottleneck Principle.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.
Shauli Ravfogel, Francisco Vargas, Yoav Goldberg, Ryan Cotterell
(2022).
Kernelized Concept Erasure.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.
Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang
(2022).
Algorithms for Weighted Pushdown Automata.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.
Josef Valvoda, Naomi Saphra, Jon Rawski, Adina Williams, Ryan Cotterell
(2022).
Benchmarking Compositionality with Formal Languages.
Proceedings of the 29th International Conference on Computational Linguistics.
Johann-Mattis List, Ekaterina Vylomova, Robert Forkel, Nathan Hill, Ryan Cotterell
(2022).
The SIGTYP 2022 Shared Task on the Prediction of Cognate Reflexes.
Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP.
Khuyagbaatar Batsuren, Gábor Bella, Aryaman Arora, Viktor Martinovic, Kyle Gorman, Zdeněk Žabokrtský, Amarsanaa Ganbold, Šárka Dohnalová, Magda Ševčíková, Kateřina Pelegrinová, Fausto Giunchiglia, Ryan Cotterell, Ekaterina Vylomova
(2022).
The SIGMORPHON 2022 Shared Task on Morpheme Segmentation.
Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.
Jordan Kodner, Salam Khalifa, Khuyagbaatar Batsuren, Hossep Dolatian, Ryan Cotterell, Faruk Akkus, Antonios Anastasopoulos, Taras Andrushko, Aryaman Arora, Nona Atanalov, Gábor Bella, Elena Budianskaya, Yustinus Ghanggo Ate, Omer Goldman, David Guriel, Simon Guriel, Silvia Guriel-Agiashvili, Witold Kieraś, Andrew Krizhanovsky, Natalia Krizhanovsky, Igor Marchenko, Magdalena Markowska, Polina Mashkovtseva, Maria Nepomniashchaya, Daria Rodionova, Karina Scheifer, Alexandra Sorova, Anastasia Yemelina, Jeremiah Young, Ekaterina Vylomova
(2022).
SIGMORPHON--UniMorph 2022 Shared Task 0: Generalization and Typologically Diverse Morphological Inflection.
Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.
Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan
(2022).
Probing via Prompting.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams
(2022).
On the Machine Learning of Ethical Judgments from Natural Language.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Shauli Ravfogel, Michael Twiton, Yoav Goldberg, Ryan Cotterell
(2022).
Linear Adversarial Concept Erasure.
Proceedings of the 39th International Conference on Machine Learning.
Ran Zmigrod, Tim Vieira, Ryan Cotterell
(2022).
Exact Paired-Permutation Testing for Structured Test Statistics.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou
(2022).
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan
(2022).
A Structured Span Selector.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Karim Lasri, Tiago Pimentel, Alessandro Lenci, Thierry Poibeau, Ryan Cotterell
(2022).
Probing for the Usage of Grammatical Number.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
On the probability-quality paradox in language generation
(2022).
On the probability-quality paradox in language generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Aryaman Arora, Clara Meister, Ryan Cotterell
(2022).
Estimating the Entropy of Linguistic Distributions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Clara Meister, Tiago Pimentel, Thomas Hikaru Clark, Ryan Cotterell, Roger P. Levy
(2022).
Analyzing Wrap-Up Effects through an Information-Theoretic Lens.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin
(2022).
State-of-the-art generalisation research in NLP: a taxonomy and review.
arXiv.
Clara Meister, Tiago Pimentel, Patrick Haller, Lena Jäger, Ryan Cotterell, Roger Levy
(2021).
Revisiting the Uniform Information Density Hypothesis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Clara Meister, Tiago Pimentel, Patrick Haller, Lena Jäger, Ryan Cotterell, Roger Levy
(2021).
Revisiting the Uniform Information Density Hypothesis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell
(2021).
On Homophony and Rényi Entropy.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell
(2021).
On Homophony and Rényi Entropy.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Ran Zmigrod, Tim Vieira, Ryan Cotterell
(2021).
Efficient Sampling of Dependency Structure.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Ran Zmigrod, Tim Vieira, Ryan Cotterell
(2021).
Efficient Sampling of Dependency Structure.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell
(2021).
Conditional Poisson Stochastic Beams.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell
(2021).
Conditional Poisson Stochastic Beam Search.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, Ryan Cotterell
(2021).
Classifying Dyads for Militarized Conflict Analysis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer
(2021).
A Plug-and-Play Method for Controlled Text Generation.
Findings of the Association for Computational Linguistics: EMNLP 2021.
Tiago Pimentel, Maria Ryskina, Sabrina J. Mielke, Shijie Wu, Eleanor Chodroff, Brian Leonard, Garrett Nicolai, Yustinus Ghanggo Ate, Salam Khalifa, Nizar Habash, Charbel El-Khaissi, Omer Goldman, Michael Gasser, William Lane, Matt Coler, Arturo Oncevay, Jaime Rafael Montoya Samame, Gema Celeste Silva Villegas, Adam Ek, Jean-Philippe Bernardy, Andrey Shcherbakov, Aziyana Bayyr-ool, Karina Sheifer, Sofya Ganieva, Matvey Plugaryov, Elena Klyachko, Ali Salehi, Andrew Krizhanovsky, Natalia Krizhanovsky, Clara Vania, Sardana Ivanova, Aelita Salchak, Christopher Straughn, Zoey Liu, Jonathan North Washington, Duygu Ataman, Witold Kieraś, Marcin Woliński, Totok Suhardijanto, Niklas Stoehr, Zahroh Nuriah, Shyam Ratan, Francis M. Tyers, Edoardo M. Ponti, Grant Aiton, Richard J. Hatcher, Emily Prud'hommeaux, Ritesh Kumar, Mans Hulden, Botond Barta, Dorina Lakatos, Gábor Szolnok, Judit Ács, Mohit Raj, David Yarowsky, Ryan Cotterell, Ben Ambridge, Ekaterina Vylomova
(2021).
SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages.
Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.
Ran Zmigrod, Tim Vieira, Ryan Cotterell
(2021).
On Finding the $K$-best Non-projective Dependency Trees.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
Ran Zmigrod, Tim Vieira, Ryan Cotterell
(2021).
On Finding the $K$-best Non-projective Dependency Trees.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
Irene Nikkarinen*, Tiago Pimentel*, Damián Blasi, Ryan Cotterell
(2021).
Modelling the Unigram Distribution.
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
Irene Nikkarinen$^*$, Tiago Pimentel$^*$, Damián Blasi, Ryan Cotterell
(2021).
Modeling the Unigram Distribution.
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
Clara Meister, Ryan Cotterell
(2021).
Language Model Evaluation Beyond Perplexity.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
Clara Meister, Ryan Cotterell
(2021).
Language Model Evaluation Beyond Perplexity.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell
(2021).
Is Sparse Attention more Interpretable?.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 2: Short Papers).
Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell
(2021).
Is Sparse Attention more Interpretable?.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 2: Short Papers).
Higher-order Derivatives of Weighted Finite-state Machines
(2021).
Higher-order Derivatives of Weighted Finite-state Machines.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 2: Short Papers).
Ran Zmigrod, Tim Vieira, Ryan Cotterell
(2021).
Higher-order Derivatives of Weighted Finite-state Machines.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 2: Short Papers).
Clara Meister, Martina Forster, Ryan Cotterell
(2021).
Determinantal Beam Search.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
Clara Meister, Martina Forster, Ryan Cotterell
(2021).
Determinantal Beam Search.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
Jason Wei, Clara Meister, Ryan Cotterell
(2021).
A cognitive regularizer for language modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
Jason Wei, Clara Meister, Ryan Cotterell
(2021).
A cognitive regularizer for language modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel
(2021).
What About the Precedent: An Information-Theoretic Analysis of Common Law.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel
(2021).
What About the Precedent: An Information-Theoretic Analysis of Common Law.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Elizabeth Salesky, Badr M. Abdullah, Sabrina Mielke, Elena Klyachko, Oleg Serikov, Edoardo Maria Ponti, Ritesh Kumar, Ryan Cotterell, Ekaterina Vylomova
(2021).
SIGTYP 2021 Shared Task: Robust Spoken Language Identification.
Proceedings of the Third Workshop on Computational Typology and Multilingual NLP.
Tiago Pimentel$^*$, Irene Nikkarinen$^*$, Kyle Mahowald, Ryan Cotterell, Damián Blasi
(2021).
How (Non-)Optimal is the Lexicon?.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Tiago Pimentel*, Irene Nikkarinen*, Kyle Mahowald, Ryan Cotterell, Damián Blasi
(2021).
How (Non-)Optimal is the Lexicon?.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Tiago Pimentel, Brian Roark, Søren Wichmann, Ryan Cotterell, Damián Blasi
(2021).
Finding Concept-specific Biases in Form--Meaning Associations.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Tiago Pimentel, Brian Roark, Søren Wichmann, Ryan Cotterell, Damián Blasi
(2021).
Finding Concept-specific Biases in Form--Meaning Associations.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell
(2021).
A Non-Linear Structural Probe.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Paula Czarnowska, Sebastian Ruder, Ryan Cotterell, Ann Copestake
(2020).
Morphologically Aware Word-Level Translation.
Proceedings of the 28th International Conference on Computational Linguistics.
Tiago Pimentel, Rowan Hall Maudslay, Damián Blasi, Ryan Cotterell
(2020).
Speakers Fill Semantic Gaps with Context.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing.
Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke, Aditi Chaudhary, Giuseppe G. A. Celano, Edoardo M. Ponti, Ekaterina Vylomova, Ryan Cotterell, Isabelle Augenstein
(2020).
SIGTYP 2020 Shared Task: Prediction of Typological Features.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing.
Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell
(2020).
Pareto Probing: Trading Off Accuracy for Simplicity.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing.
Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell
(2020).
Intrinsic Probing through Dimension Selection.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing.
Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell, Nizar Habash
(2020).
The Paradigm Discovery Problem.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
Ekaterina Vylomova, Jennifer White, Elizabeth Salesky, Sabrina J. Mielke, Shijie Wu, Edoardo Maria Ponti, Rowan Hall Maudslay, Ran Zmigrod, Josef Valvoda, Svetlana Toldova, Francis Tyers, Elena Klyachko, Ilya Yegorov, Natalia Krizhanovsky, Paula Czarnowska, Irene Nikkarinen, Andrew Krizhanovsky, Tiago Pimentel, Lucas Torroba Hennigen, Christo Kirov, Garrett Nicolai, Adina Williams, Antonios Anastasopoulos, Hilaria Cruz, Eleanor Chodroff, Ryan Cotterell, Miikka Silfverberg, Mans Hulden
(2020).
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
Adina Williams, Tiago Pimentel, Arya McCarthy, Hagen Blix, Eleanor Chodroff, Ryan Cotterell
(2020).
Predicting Declension Class from Form and Meaning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell
(2020).
Information-Theoretic Probing for Linguistic Structure.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams, Ryan Cotterell
(2020).
A Tale of a Probe and a Parser.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W Black, Jason Eisner
(2020).
A Corpus for Large-Scale Phonetic Typology.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
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 Ernštreits, Yuval Pinter, Cassandra L. Jacobs, Ryan Cotterell, Mans Hulden, David Yarowsky
(2020).
UniMorph 3.0: Universal Morphology.
Proceedings of the Twelfth International Conference on Language Resources and Evaluation.
Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart, Anna Korhonen
(2019).
Towards Zero-Shot Language Modeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing.
Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián Blasi, Hanna Wallach
(2019).
Quantifying the Semantic Core of Gender Systems.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing.
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
(2019).
Examining Gender Bias in Languages with Grammatical Gender.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing.
Sabrina J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner
(2019).
What Kind of Language Is Hard to Language-Model?.
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein
(2019).
Uncovering Typological Implications with Belief Nets.
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
Shijie Wu, Ryan Cotterell, Timothy J. O'Donnell
(2019).
Measuring Morphological Irregularity.
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
Tiago Pimentel, Arya McCarthy, Damián Blasi, Brian Roark, Ryan Cotterell
(2019).
Meaning to Form: Measuring Systematicity as Information.
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
Shijia Liu, Adina Williams, Hongyuan Mei, Ryan Cotterell
(2019).
On the Idiosyncrasies of the Mandarin Chinese Classifier System.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang
(2019).
Gender Bias in Contextualized Word Embeddings.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner
(2019).
Contextualization of Morphological Inflection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Ryan Cotterell, Isabelle Augenstein
(2019).
Combining Sentiment Lexica with a Multi-View Variational Autoencoder.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Chaitanya Malaviya, Shijie Wu, Ryan Cotterell
(2019).
A Simple Joint Model for Improved Contextual Neural Lemmatization.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein
(2019).
A Probabilistic Generative Model of Linguistic Typology.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Ryan Cotterell, Christo Kirov, Sabrina J. Mielke, Jason Eisner
(2018).
Unsupervised Disambiguation of Syncretism in Inflected Lexicons.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Ryan Cotterell, Sabrina J. Mielke, Jason Eisner, Brian Roark
(2018).
Are All Languages Equally Hard to Language-Model?.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Ryan Cotterell, Jason Eisner
(2018).
A Deep Generative Model of Vowel Formant Typology.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sabrina Mielke, Arya McCarthy, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden
(2018).
UniMorph 2.0: Universal Morphology.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation.
Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky
(2017).
Paradigm Completion for Derivational Morphology.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing.
Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden
(2017).
CoNLL--SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages.
Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection.
Katharina Kann, Ryan Cotterell, Hinrich Schütze
(2017).
Neural Multi-Source Morphological Reinflection.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics.
Arun Kumar, Ryan Cotterell, Lluís Padró, Antoni Oliver
(2017).
Morphological Analysis of the Dravidian Language Family.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics.
Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn
(2017).
Context-Aware Prediction of Derivational Word-forms.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics.
Ryan Cotterell, Arun Kumar, Hinrich Schütze
(2016).
Morphological Segmentation Inside-Out.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing.
Ryan Cotterell, Christo Kirov, John Sylak-Glassman, David Yarowsky, Jason Eisner, Mans Hulden
(2016).
The SIGMORPHON 2016 Shared Task—Morphological Reinflection.
Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.
Pushpendre Rastogi, Ryan Cotterell, Jason Eisner
(2016).
Weighting Finite-State Transductions With Neural Context.
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Ryan Cotterell, Tim Vieira, Hinrich Schütze
(2016).
A Joint Model of Orthography and Morphological Segmentation.
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Ryan Cotterell, Hinrich Schütze
(2015).
Morphological Word Embeddings.
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Ryan Cotterell, Adithya Renduchintala, Naomi Saphra, Chris Callison-Burch
(2014).
An Algerian Arabic-French Code-Switched Corpus.
Proceedings of the First Workshop on Free/Open-Source Arabic Corpora and Corpora Processing Tools.