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ORCIDRyan Cotterell
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- affiliation: ETH Zurich, Switzerland
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2020 – today
- 2025
[j22]Ionut Constantinescu, Tiago Pimentel, Ryan Cotterell, Alex Warstadt:
Investigating Critical Period Effects in Language Acquisition through Neural Language Models. Trans. Assoc. Comput. Linguistics 13: 96-120 (2025)- [c189]Afra Amini, Tim Vieira, Elliott Ash, Ryan Cotterell:
Variational Best-of-N Alignment. ICLR 2025 - [c188]Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef Valvoda, Ryan Cotterell, Brian DuSell:
Training Neural Networks as Recognizers of Formal Languages. ICLR 2025 - [c187]Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell:
The Foundations of Tokenization: Statistical and Computational Concerns. ICLR 2025 - [c186]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:
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. ICLR 2025 - [c185]Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell:
Controllable Context Sensitivity and the Knob Behind It. ICLR 2025 - [c184]Shauli Ravfogel, Anej Svete, Vésteinn Snæbjarnarson, Ryan Cotterell:
Gumbel Counterfactual Generation From Language Models. ICLR 2025 - [c183]Matan Avitan, Ryan Cotterell, Yoav Goldberg, Shauli Ravfogel:
A Practical Method for Generating String Counterfactuals. NAACL (Findings) 2025: 3267-3286 - [i213]Filippo Ficarra, Ryan Cotterell, Alex Warstadt:
A Distributional Perspective on Word Learning in Neural Language Models. CoRR abs/2502.05892 (2025) - [i212]Lucas Charpentier, Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul, Michael Y. Hu, Jaap Jumelet, Tal Linzen, Jing Liu, Aaron Mueller, Candace Ross, Raj Sanjay Shah, Alex Warstadt, Ethan Wilcox, Adina Williams:
BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop. CoRR abs/2502.10645 (2025) - [i211]Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki, Ryan Cotterell, Alex Warstadt:
Can Language Models Learn Typologically Implausible Languages? CoRR abs/2502.12317 (2025) - [i210]Selim Jerad, Anej Svete, Jiaoda Li, Ryan Cotterell:
Unique Hard Attention: A Tale of Two Sides. CoRR abs/2503.14615 (2025) - 2024
- [j21]Josef Valvoda, Alec Thompson, Ryan Cotterell, Simone Teufel:
The Ethics of Automating Legal Actors. Trans. Assoc. Comput. Linguistics 12: 700-720 (2024) - [c182]Anej Svete, Robin Chan, Ryan Cotterell:
On Efficiently Representing Regular Languages as RNNs. ACL (Findings) 2024: 4118-4135 - [c181]Afra Amini, Tim Vieira, Ryan Cotterell:
Direct Preference Optimization with an Offset. ACL (Findings) 2024: 9954-9972 - [c180]Li Du, Holden Lee, Jason Eisner, Ryan Cotterell:
When is a Language Process a Language Model? ACL (Findings) 2024: 11083-11094 - [c179]Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell:
What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL (1) 2024: 12365-12379 - [c178]Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell:
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. ACL (1) 2024: 12510-12548 - [c177]Kevin Du, Vésteinn Snæbjarnarson
, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell:
Context versus Prior Knowledge in Language Models. ACL (1) 2024: 13211-13235 - [c176]Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell:
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. ACL (1) 2024: 15115-15134 - [c175]Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Wilcox:
On the Role of Context in Reading Time Prediction. EMNLP 2024: 3042-3058 - [c174]Tianyu Liu, Kevin Du, Mrinmaya Sachan, Ryan Cotterell:
Efficiently Computing Susceptibility to Context in Language Models. EMNLP (Findings) 2024: 6615-6626 - [c173]Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein:
Activation Scaling for Steering and Interpreting Language Models. EMNLP (Findings) 2024: 8189-8200 - [c172]Clemente Pasti, Talu Karagöz, Franz Nowak, Anej Svete, Reda Boumasmoud, Ryan Cotterell:
An L* Algorithm for Deterministic Weighted Regular Languages. EMNLP 2024: 8197-8210 - [c171]Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell:
Reverse-Engineering the Reader. EMNLP 2024: 9367-9389 - [c170]Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell:
Can Transformers Learn n-gram Language Models? EMNLP 2024: 9851-9867 - [c169]Mario Giulianelli, Andreas Opedal, Ryan Cotterell:
Generalized Measures of Anticipation and Responsivity in Online Language Processing. EMNLP (Findings) 2024: 11648-11669 - [c168]Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell:
A Probability-Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. EMNLP 2024: 14805-14829 - [c167]Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell:
On the Proper Treatment of Tokenization in Psycholinguistics. EMNLP 2024: 18556-18572 - [c166]Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt:
Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse. EMNLP 2024: 18820-18836 - [c165]Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell:
Principled Gradient-Based MCMC for Conditional Sampling of Text. ICML 2024 - [c164]Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? ICML 2024 - [c163]Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru:
Representation Surgery: Theory and Practice of Affine Steering. ICML 2024 - [c162]Seif Ismail, Antonio Arbues, Ryan Cotterell, René Zurbrügg, Carmen Amo Alonso:
NARRATE: Versatile Language Architecture for Optimal Control in Robotics. IROS 2024: 9628-9635 - [c161]Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell:
A Transformer with Stack Attention. NAACL-HLT (Findings) 2024: 4318-4335 - [c160]Anej Svete, Franz Nowak, Anisha Mohamed Sahabdeen, Ryan Cotterell:
Lower Bounds on the Expressivity of Recurrent Neural Language Models. NAACL-HLT 2024: 6820-6844 - [c159]Anej Svete, Ryan Cotterell:
Transformers Can Represent n-gram Language Models. NAACL-HLT 2024: 6845-6881 - [c158]Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell:
The Role of n-gram Smoothing in the Age of Neural Networks. NAACL-HLT 2024: 6882-6899 - [c157]Josef Valvoda, Ryan Cotterell:
Towards Explainability in Legal Outcome Prediction Models. NAACL-HLT 2024: 7269-7289 - [c156]Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell:
On Affine Homotopy between Language Encoders. NeurIPS 2024 - [e4]Michael Hahn, Alexey Sorokin, Ritesh Kumar, Andreas Scherbakov, Yulia Otmakhova, Jinrui Yang, Oleg Serikov, Priya Rani, Edoardo M. Ponti, Saliha Muradoglu, Rena Gao, Ryan Cotterell, Ekaterina Vylomova:
Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, SIGTYPE 2024, St. Julian's, Malta, March 22, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-071-4 [contents] - [i209]Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? CoRR abs/2401.18070 (2024) - [i208]Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru:
MiMiC: Minimally Modified Counterfactuals in the Representation Space. CoRR abs/2402.09631 (2024) - [i207]Afra Amini, Tim Vieira, Ryan Cotterell:
Direct Preference Optimization with an Offset. CoRR abs/2402.10571 (2024) - [i206]Matan Avitan, Ryan Cotterell, Yoav Goldberg, Shauli Ravfogel:
What Changed? Converting Representational Interventions to Natural Language. CoRR abs/2402.11355 (2024) - [i205]Anej Svete, Robin Shing Moon Chan, Ryan Cotterell:
A Theoretical Result on the Inductive Bias of RNN Language Models. CoRR abs/2402.15814 (2024) - [i204]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 T. 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:
On the Challenges and Opportunities in Generative AI. CoRR abs/2403.00025 (2024) - [i203]Seif Ismail, Antonio Arbues, Ryan Cotterell, René Zurbrügg, Carmen Amo Alonso:
NARRATE: Versatile Language Architecture for Optimal Control in Robotics. CoRR abs/2403.10762 (2024) - [i202]Josef Valvoda, Ryan Cotterell:
Towards Explainability in Legal Outcome Prediction Models. CoRR abs/2403.16852 (2024) - [i201]Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell:
The Role of n-gram Smoothing in the Age of Neural Networks. CoRR abs/2403.17240 (2024) - [i200]Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell:
Context versus Prior Knowledge in Language Models. CoRR abs/2404.04633 (2024) - [i199]Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang:
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR abs/2404.06214 (2024) - [i198]Ryan Cotterell, Thomas Müller, Alexander Fraser, Hinrich Schütze:
Labeled Morphological Segmentation with Semi-Markov Models. CoRR abs/2404.08997 (2024) - [i197]Ryan Cotterell, Kevin Duh:
Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields. CoRR abs/2404.09383 (2024) - [i196]Anej Svete, Ryan Cotterell:
Transformers Can Represent n-gram Language Models. CoRR abs/2404.14994 (2024) - [i195]Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell:
A Transformer with Stack Attention. CoRR abs/2405.04515 (2024) - [i194]Thomas Müller, Ryan Cotterell, Alexander Fraser, Hinrich Schütze:
Joint Lemmatization and Morphological Tagging with LEMMING. CoRR abs/2405.18308 (2024) - [i193]Anej Svete, Franz Nowak, Anisha Mohamed Sahabdeen, Ryan Cotterell:
Lower Bounds on the Expressivity of Recurrent Neural Language Models. CoRR abs/2405.19222 (2024) - [i192]Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell:
On Affine Homotopy between Language Encoders. CoRR abs/2406.02329 (2024) - [i191]Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell:
What Do Language Models Learn in Context? The Structured Task Hypothesis. CoRR abs/2406.04216 (2024) - [i190]Nadav Borenstein, Anej Svete, Robin Shing Moon Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell:
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. CoRR abs/2406.04289 (2024) - [i189]Amanda Doucette, Ryan Cotterell, Morgan Sonderegger, Timothy J. O'Donnell:
Correlation Does Not Imply Compensation: Complexity and Irregularity in the Lexicon. CoRR abs/2406.05186 (2024) - [i188]Naaman Tan, Josef Valvoda, Anej Svete, Tianyu Liu, Yanxia Qin, Min-Yen Kan, Ryan Cotterell:
A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. CoRR abs/2406.10203 (2024) - [i187]Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell:
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. CoRR abs/2406.14197 (2024) - [i186]Afra Amini, Tim Vieira, Ryan Cotterell:
Variational Best-of-N Alignment. CoRR abs/2407.06057 (2024) - [i185]Ivan Baburin, Ryan Cotterell:
Blow-up in Non-Deterministic Automata. CoRR abs/2407.09891 (2024) - [i184]Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell:
The Foundations of Tokenization: Statistical and Computational Concerns. CoRR abs/2407.11606 (2024) - [i183]Ionut Constantinescu, Tiago Pimentel, Ryan Cotterell, Alex Warstadt:
Do Language Models Have a Critical Period for Language Acquisition? CoRR abs/2407.19325 (2024) - [i182]Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Gotlieb Wilcox:
On the Role of Context in Reading Time Prediction. CoRR abs/2409.08160 (2024) - [i181]Mario Giulianelli, Andreas Opedal, Ryan Cotterell:
Generalized Measures of Anticipation and Responsivity in Online Language Processing. CoRR abs/2409.10728 (2024) - [i180]Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell:
On the Proper Treatment of Tokenization in Psycholinguistics. CoRR abs/2410.02691 (2024) - [i179]Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell:
Can Transformers Learn n-gram Language Models? CoRR abs/2410.03001 (2024) - [i178]Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein:
Activation Scaling for Steering and Interpreting Language Models. CoRR abs/2410.04962 (2024) - [i177]Samuel Kiegeland, Ethan Gotlieb Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell:
Reverse-Engineering the Reader. CoRR abs/2410.13086 (2024) - [i176]Tianyu Liu, Kevin Du, Mrinmaya Sachan, Ryan Cotterell:
Efficiently Computing Susceptibility to Context in Language Models. CoRR abs/2410.14361 (2024) - [i175]Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt:
Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse. CoRR abs/2410.16062 (2024) - [i174]Clemente Pasti, Talu Karagöz, Anej Svete, Franz Nowak, Reda Boumasmoud, Ryan Cotterell:
An L* Algorithm for Deterministic Weighted Regular Languages. CoRR abs/2411.06228 (2024) - [i173]Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef Valvoda, Ryan Cotterell, Brian DuSell:
Training Neural Networks as Recognizers of Formal Languages. CoRR abs/2411.07107 (2024) - [i172]Shauli Ravfogel, Anej Svete, Vésteinn Snæbjarnarson, Ryan Cotterell:
Counterfactual Generation from Language Models. CoRR abs/2411.07180 (2024) - [i171]Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell:
Controllable Context Sensitivity and the Knob Behind It. CoRR abs/2411.07404 (2024) - [i170]Tianyu Liu, Jirui Qi, Paul He, Arianna Bisazza, Mrinmaya Sachan, Ryan Cotterell:
Likelihood as a Performance Gauge for Retrieval-Augmented Generation. CoRR abs/2411.07773 (2024) - [i169]Tim Vieira, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Brian DuSell, John Terilla, Timothy J. O'Donnell, Ryan Cotterell:
From Language Models over Tokens to Language Models over Characters. CoRR abs/2412.03719 (2024) - [i168]Michael Y. Hu, Aaron Mueller, Candace Ross, Adina Williams, Tal Linzen, Chengxu Zhuang, Ryan Cotterell, Leshem Choshen, Alex Warstadt, Ethan Gotlieb Wilcox:
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. CoRR abs/2412.05149 (2024) - 2023
- [j20]Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. 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:
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5(10): 1161-1174 (2023) - [j19]Josef Valvoda, Ryan Cotterell, Simone Teufel:
On the Role of Negative Precedent in Legal Outcome Prediction. Trans. Assoc. Comput. Linguistics 11: 34-48 (2023) - [j18]Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell:
Locally Typical Sampling. Trans. Assoc. Comput. Linguistics 11: 102-121 (2023) - [j17]Afra Amini, Tiago Pimentel, Clara Meister, Ryan Cotterell:
Naturalistic Causal Probing for Morpho-Syntax. Trans. Assoc. Comput. Linguistics 11: 384-403 (2023) - [j16]Thomas Hikaru Clark, Clara Meister, Tiago Pimentel, Michael Hahn, Ryan Cotterell, Richard Futrell, Roger Levy:
A Cross-Linguistic Pressure for Uniform Information Density in Word Order. Trans. Assoc. Comput. Linguistics 11: 1048-1065 (2023) - [j15]Ethan Gotlieb Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell, Roger P. Levy:
Testing the Predictions of Surprisal Theory in 11 Languages. Trans. Assoc. Comput. Linguistics 11: 1451-1470 (2023) - [j14]Tiago Pimentel, Clara Meister, Ethan Gotlieb Wilcox, Roger P. Levy, Ryan Cotterell:
On the Effect of Anticipation on Reading Times. Trans. Assoc. Comput. Linguistics 11: 1624-1642 (2023) - [j13]Rita Sevastjanova, Eren Cakmak, Shauli Ravfogel, Ryan Cotterell, Mennatallah El-Assady:
Visual Comparison of Language Model Adaptation. IEEE Trans. Vis. Comput. Graph. 29(1): 1178-1188 (2023) - [c155]Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein:
A Latent-Variable Model for Intrinsic Probing. AAAI 2023: 13591-13599 - [c154]Franz Nowak, Ryan Cotterell:
A Fast Algorithm for Computing Prefix Probabilities. ACL (2) 2023: 57-69 - [c153]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell:
A Formal Perspective on Byte-Pair Encoding. ACL (Findings) 2023: 598-614 - [c152]Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Wilcox, Ryan Cotterell:
On the Efficacy of Sampling Adapters. ACL (1) 2023: 1437-1455 - [c151]Afra Amini, Tianyu Liu, Ryan Cotterell:
Hexatagging: Projective Dependency Parsing as Tagging. ACL (2) 2023: 1453-1464 - [c150]Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner:
Efficient Semiring-Weighted Earley Parsing. ACL (1) 2023: 3687-3713 - [c149]Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein:
An Ordinal Latent Variable Model of Conflict Intensity. ACL (1) 2023: 4817-4830 - [c148]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell:
Tokenization and the Noiseless Channel. ACL (1) 2023: 5184-5207 - [c147]Alexandra Butoi, Ryan Cotterell, David Chiang:
Convergence and Diversity in the Control Hierarchy. ACL (1) 2023: 7597-7616 - [c146]Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell:
Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. ACL (1) 2023: 7853-7872 - [c145]Shauli Ravfogel, Yoav Goldberg, Ryan Cotterell:
Linear Guardedness and its Implications. ACL (1) 2023: 9413-9431 - [c144]Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell:
A Measure-Theoretic Characterization of Tight Language Models. ACL (1) 2023: 9744-9770 - [c143]Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alex Warstadt, Ryan Cotterell:
Generalizing Backpropagation for Gradient-Based Interpretability. ACL (1) 2023: 11979-11995 - [c142]Afra Amini, Ryan Cotterell, John Hewitt, Clara Meister, Tiago Pimentel:
Generating Text from Language Models. ACL (tutorial) 2023: 27-31 - [c141]Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein:
The Ordered Matrix Dirichlet for State-Space Models. AISTATS 2023: 1888-1903 - [c140]Niklas Stoehr, Ryan Cotterell, Aaron Schein:
Sentiment as an Ordinal Latent Variable. EACL 2023: 103-115 - [c139]Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell:
On the Intersection of Context-Free and Regular Languages. EACL 2023: 737-749 - [c138]Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell:
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. EMNLP 2023: 808-830 - [c137]Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell:
Revisiting the Optimality of Word Lengths. EMNLP 2023: 2240-2255 - [c136]Alexandra Butoi, Tim Vieira, Ryan Cotterell, David Chiang:
Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages. EMNLP 2023: 5394-5416 - [c135]Franz Nowak, Anej Svete, Li Du, Ryan Cotterell:
On the Representational Capacity of Recurrent Neural Language Models. EMNLP 2023: 7011-7034 - [c134]Ethan Wilcox, Clara Meister, Ryan Cotterell, Tiago Pimentel:
Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages. EMNLP 2023: 7503-7511 - [c133]Anej Svete, Ryan Cotterell:
Recurrent Neural Language Models as Probabilistic Finite-state Automata. EMNLP 2023: 8069-8086 - [c132]Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev:
Quantifying the redundancy between prosody and text. EMNLP 2023: 9765-9784 - [c131]Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira:
An Exploration of Left-Corner Transformations. EMNLP 2023: 13393-13427 - [c130]Tiago Pimentel, Clara Meister, Ryan Cotterell:
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation. ICLR 2023 - [c129]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan:
Controlled Text Generation with Natural Language Instructions. ICML 2023: 42602-42613 - [c128]Afra Amini, Li Du, Ryan Cotterell:
Structured Voronoi Sampling. NeurIPS 2023 - [c127]Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman:
LEACE: Perfect linear concept erasure in closed form. NeurIPS 2023 - [i167]Anej Svete, Benjamin Dayan, Tim Vieira, Ryan Cotterell, Jason Eisner:
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. CoRR abs/2301.06862 (2023) - [i166]Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge J. Belongie:
Discriminative Class Tokens for Text-to-Image Diffusion Models. CoRR abs/2303.17155 (2023) - [i165]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan:
Controlled Text Generation with Natural Language Instructions. CoRR abs/2304.14293 (2023) - [i164]Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell:
Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus. CoRR abs/2305.11142 (2023) - [i163]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan:
Efficient Prompting via Dynamic In-Context Learning. CoRR abs/2305.11170 (2023) - [i162]Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan:
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. CoRR abs/2305.13304 (2023) - [i161]Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell:
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. CoRR abs/2305.14555 (2023) - [i160]Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell:
Learning the String Partial Order. CoRR abs/2305.15057 (2023) - [i159]Franz Nowak, Ryan Cotterell:
A Fast Algorithm for Computing Prefix Probabilities. CoRR abs/2306.02303 (2023) - [i158]Afra Amini, Li Du, Ryan Cotterell:
Structured Voronoi Sampling. CoRR abs/2306.03061 (2023) - [i157]Alexandra Butoi, Ryan Cotterell, David Chiang:
Convergence and Diversity in the Control Hierarchy. CoRR abs/2306.03628 (2023) - [i156]Thomas Hikaru Clark, Clara Meister, Tiago Pimentel, Michael Hahn, Ryan Cotterell, Richard Futrell, Roger Levy:
A Cross-Linguistic Pressure for Uniform Information Density in Word Order. CoRR abs/2306.03734 (2023) - [i155]Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman:
LEACE: Perfect linear concept erasure in closed form. CoRR abs/2306.03819 (2023) - [i154]Afra Amini, Tianyu Liu, Ryan Cotterell:
Hexatagging: Projective Dependency Parsing as Tagging. CoRR abs/2306.05477 (2023) - [i153]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell:
A Formal Perspective on Byte-Pair Encoding. CoRR abs/2306.16837 (2023) - [i152]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell:
Tokenization and the Noiseless Channel. CoRR abs/2306.16842 (2023) - [i151]Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner:
Efficient Semiring-Weighted Earley Parsing. CoRR abs/2307.02982 (2023) - [i150]Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alexander Warstadt, Ryan Cotterell:
Generalizing Backpropagation for Gradient-Based Interpretability. CoRR abs/2307.03056 (2023) - [i149]Ethan Gotlieb Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell, Roger P. Levy:
Testing the Predictions of Surprisal Theory in 11 Languages. CoRR abs/2307.03667 (2023) - [i148]Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Gotlieb Wilcox, Ryan Cotterell:
On the Efficacy of Sampling Adapters. CoRR abs/2307.03749 (2023) - [i147]Clément Guerner, Anej Svete, Tianyu Liu, Alexander Warstadt, Ryan Cotterell:
A Geometric Notion of Causal Probing. CoRR abs/2307.15054 (2023) - [i146]Ivan Baburin, Ryan Cotterell:
An Analysis of On-the-fly Determinization of Finite-state Automata. CoRR abs/2308.14077 (2023) - [i145]Anej Svete, Ryan Cotterell:
Recurrent Neural Language Models as Probabilistic Finite-state Automata. CoRR abs/2310.05161 (2023) - [i144]Franz Nowak, Anej Svete, Li Du, Ryan Cotterell:
On the Representational Capacity of Recurrent Neural Language Models. CoRR abs/2310.12942 (2023) - [i143]Alexandra Butoi, Tim Vieira, Ryan Cotterell, David Chiang:
Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages. CoRR abs/2310.15276 (2023) - [i142]Ryan Cotterell, Anej Svete, Clara Meister, Tianyu Liu, Li Du:
Formal Aspects of Language Modeling. CoRR abs/2311.04329 (2023) - [i141]Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira:
An Exploration of Left-Corner Transformations. CoRR abs/2311.16258 (2023) - [i140]Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev:
Quantifying the redundancy between prosody and text. CoRR abs/2311.17233 (2023) - [i139]Karolina Stanczak, Kevin Du, Adina Williams, Isabelle Augenstein, Ryan Cotterell:
Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective. CoRR abs/2311.18567 (2023) - [i138]Josef Valvoda, Alec Thompson, Ryan Cotterell, Simone Teufel:
The Ethics of Automating Legal Actors. CoRR abs/2312.00584 (2023) - [i137]Tiago Pimentel, Clara Meister, Ethan Gotlieb Wilcox, Kyle Mahowald, Ryan Cotterell:
Revisiting the Optimality of Word Lengths. CoRR abs/2312.03897 (2023) - [i136]Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason Eisner, Holden Lee, Ryan Cotterell:
Principled Gradient-based Markov Chain Monte Carlo for Text Generation. CoRR abs/2312.17710 (2023) - 2022
- [j12]Clara Meister, Gian Wiher, Ryan Cotterell:
On Decoding Strategies for Neural Text Generators. Trans. Assoc. Comput. Linguistics 10: 997-1012 (2022) - [c126]Clara Meister, Tiago Pimentel, Thomas Hikaru Clark, Ryan Cotterell, Roger Levy:
Analyzing Wrap-Up Effects through an Information-Theoretic Lens. ACL (2) 2022: 20-28 - [c125]Clara Meister, Gian Wiher, Tiago Pimentel, Ryan Cotterell:
High probability or low information? The probability-quality paradox in language generation. ACL (2) 2022: 36-45 - [c124]Aryaman Arora, Clara Meister, Ryan Cotterell:
Estimating the Entropy of Linguistic Distributions. ACL (2) 2022: 175-195 - [c123]Alexander Immer, Lucas Torroba Hennigen, Vincent Fortuin, Ryan Cotterell:
Probing as Quantifying Inductive Bias. ACL (1) 2022: 1839-1851 - [c122]Karim Lasri, Tiago Pimentel, Alessandro Lenci, Thierry Poibeau, Ryan Cotterell:
Probing for the Usage of Grammatical Number. ACL (1) 2022: 8818-8831 - [c121]Jennifer C. White, Ryan Cotterell:
Equivariant Transduction through Invariant Alignment. COLING 2022: 4651-4663 - [c120]Josef Valvoda, Naomi Saphra, Jonathan Rawski, Adina Williams, Ryan Cotterell:
Benchmarking Compositionality with Formal Languages. COLING 2022: 6007-6018 - [c119]Tianyu Liu, Yuchen Eleanor Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan:
Autoregressive Structured Prediction with Language Models. EMNLP (Findings) 2022: 993-1005 - [c118]Liam van der Poel, Ryan Cotterell, Clara Meister:
Mutual Information Alleviates Hallucinations in Abstractive Summarization. EMNLP 2022: 5956-5965 - [c117]Shauli Ravfogel, Francisco Vargas, Yoav Goldberg, Ryan Cotterell:
Adversarial Concept Erasure in Kernel Space. EMNLP 2022: 6034-6055 - [c116]Anej Svete, Benjamin Dayan, Ryan Cotterell, Tim Vieira, Jason Eisner:
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. EMNLP 2022: 8289-8305 - [c115]Afra Amini, Ryan Cotterell:
On Parsing as Tagging. EMNLP 2022: 8884-8900 - [c114]Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang:
Algorithms for Weighted Pushdown Automata. EMNLP 2022: 9669-9680 - [c113]Tiago Pimentel, Josef Valvoda, Niklas Stoehr, Ryan Cotterell:
Attentional Probe: Estimating a Module's Functional Potential. EMNLP 2022: 11459-11472 - [c112]Shauli Ravfogel, Michael Twiton, Yoav Goldberg, Ryan Cotterell:
Linear Adversarial Concept Erasure. ICML 2022: 18400-18421 - [c111]Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieras, Gábor 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, Esaú Zumaeta Rojas, Didier López Francis, Arturo Oncevay, Juan López 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, Ritván Karahóga, 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:
UniMorph 4.0: Universal Morphology. LREC 2022: 840-855 - [c110]Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams:
On the Machine Learning of Ethical Judgments from Natural Language. NAACL-HLT 2022: 769-779 - [c109]Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan:
Probing via Prompting. NAACL-HLT 2022: 1144-1157 - [c108]Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou:
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. NAACL-HLT 2022: 1550-1565 - [c107]Karolina Stanczak, Edoardo M. Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein:
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. NAACL-HLT 2022: 1589-1598 - [c106]Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan:
A Structured Span Selector. NAACL-HLT 2022: 2629-2641 - [c105]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Exact Paired-Permutation Testing for Structured Test Statistics. NAACL-HLT 2022: 4894-4902 - [c104]Florian Schottmann, Vincent Fortuin, Edoardo M. Ponti, Ryan Cotterell:
On Interpretable Reranking-Based Dependency Parsing Systems. SwissText 2022: 23-28 - [i135]Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein:
A Latent-Variable Model for Intrinsic Probing. CoRR abs/2201.08214 (2022) - [i134]Shauli Ravfogel, Michael Twiton, Yoav Goldberg, Ryan Cotterell:
Linear Adversarial Concept Erasure. CoRR abs/2201.12091 (2022) - [i133]Shauli Ravfogel, Francisco Vargas, Yoav Goldberg, Ryan Cotterell:
Adversarial Concept Erasure in Kernel Space. CoRR abs/2201.12191 (2022) - [i132]Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell:
Typical Decoding for Natural Language Generation. CoRR abs/2202.00666 (2022) - [i131]Gian Wiher, Clara Meister, Ryan Cotterell:
On Decoding Strategies for Neural Text Generators. CoRR abs/2203.15721 (2022) - [i130]Clara Meister, Tiago Pimentel, Thomas Hikaru Clark, Ryan Cotterell, Roger Levy:
Analyzing Wrap-Up Effects through an Information-Theoretic Lens. CoRR abs/2203.17213 (2022) - [i129]Clara Meister, Gian Wiher, Tiago Pimentel, Ryan Cotterell:
On the probability-quality paradox in language generation. CoRR abs/2203.17217 (2022) - [i128]Aryaman Arora, Clara Meister, Ryan Cotterell:
Estimating the Entropy of Linguistic Distributions. CoRR abs/2204.01469 (2022) - [i127]Karim Lasri, Tiago Pimentel, Alessandro Lenci, Thierry Poibeau, Ryan Cotterell:
Probing for the Usage of Grammatical Number. CoRR abs/2204.08831 (2022) - [i126]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Exact Paired-Permutation Testing for Structured Test Statistics. CoRR abs/2205.01416 (2022) - [i125]Karolina Stanczak, Edoardo Maria Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein:
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. CoRR abs/2205.02023 (2022) - [i124]Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieras, Gábor 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 Lane, Mohit Raj, Matt Coler, Jaime Rafael Montoya Samame, Delio Siticonatzi Camaiteri, Esaú Zumaeta Rojas, Didier López Francis, Arturo Oncevay, Juan López 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, Ritván Karahóga, 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:
UniMorph 4.0: Universal Morphology. CoRR abs/2205.03608 (2022) - [i123]Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan:
A Structured Span Selector. CoRR abs/2205.03977 (2022) - [i122]Afra Amini, Tiago Pimentel, Clara Meister, Ryan Cotterell:
Naturalistic Causal Probing for Morpho-Syntax. CoRR abs/2205.07043 (2022) - [i121]Tiago Pimentel, Clara Meister, Ryan Cotterell:
Cluster-based Evaluation of Automatically Generated Text. CoRR abs/2205.16001 (2022) - [i120]Khuyagbaatar Batsuren, Gábor Bella, Aryaman Arora, Viktor Martinovic, Kyle Gorman, Zdenek Zabokrtský, Amarsanaa Ganbold, Sárka Dohnalová, Magda Sevcíková, Katerina Pelegrinová, Fausto Giunchiglia, Ryan Cotterell, Ekaterina Vylomova:
The SIGMORPHON 2022 Shared Task on Morpheme Segmentation. CoRR abs/2206.07615 (2022) - [i119]Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan:
Probing via Prompting. CoRR abs/2207.01736 (2022) - [i118]Rita Sevastjanova, Eren Cakmak, Shauli Ravfogel, Ryan Cotterell, Mennatallah El-Assady:
Visual Comparison of Language Model Adaptation. CoRR abs/2208.08176 (2022) - [i117]Josef Valvoda, Naomi Saphra, Jonathan Rawski, Ryan Cotterell, Adina Williams:
Learning Transductions to Test Systematic Compositionality. CoRR abs/2208.08195 (2022) - [i116]Josef Valvoda, Ryan Cotterell, Simone Teufel:
On the Role of Negative Precedent in Legal Outcome Prediction. CoRR abs/2208.08225 (2022) - [i115]Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell:
On the Intersection of Context-Free and Regular Languages. CoRR abs/2209.06809 (2022) - [i114]Jennifer C. White, Ryan Cotterell:
Equivariant Transduction through Invariant Alignment. CoRR abs/2209.10926 (2022) - [i113]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:
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR abs/2210.03050 (2022) - [i112]Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein:
An Ordinal Latent Variable Model of Conflict Intensity. CoRR abs/2210.03971 (2022) - [i111]Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang:
Algorithms for Weighted Pushdown Automata. CoRR abs/2210.06884 (2022) - [i110]Shauli Ravfogel, Yoav Goldberg, Ryan Cotterell:
Linear Guardedness and its Implications. CoRR abs/2210.10012 (2022) - [i109]Liam van der Poel, Ryan Cotterell, Clara Meister:
Mutual Information Alleviates Hallucinations in Abstractive Summarization. CoRR abs/2210.13210 (2022) - [i108]Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell:
A Bilingual Parallel Corpus with Discourse Annotations. CoRR abs/2210.14667 (2022) - [i107]Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan:
Investigating the Role of Centering Theory in the Context of Neural Coreference Resolution Systems. CoRR abs/2210.14678 (2022) - [i106]Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan:
Autoregressive Structured Prediction with Language Models. CoRR abs/2210.14698 (2022) - [i105]Tiago Pimentel, Josef Valvoda, Niklas Stoehr, Ryan Cotterell:
The Architectural Bottleneck Principle. CoRR abs/2211.06420 (2022) - [i104]Afra Amini, Ryan Cotterell:
On Parsing as Tagging. CoRR abs/2211.07344 (2022) - [i103]Jennifer C. White, Ryan Cotterell:
Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition. CoRR abs/2211.13095 (2022) - [i102]Tiago Pimentel, Clara Meister, Ethan Gotlieb Wilcox, Roger Levy, Ryan Cotterell:
On the Effect of Anticipation on Reading Times. CoRR abs/2211.14301 (2022) - [i101]Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein:
The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics. CoRR abs/2212.04130 (2022) - [i100]Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell:
A Measure-Theoretic Characterization of Tight Language Models. CoRR abs/2212.10502 (2022) - 2021
- [j11]Adina Williams, Lawrence Wolf-Sonkin, Damián E. Blasi, Hanna M. Wallach, Ryan Cotterell:
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs. Trans. Assoc. Comput. Linguistics 9: 139-159 (2021) - [j10]Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Marinela Parovic, Roi Reichart, Anna Korhonen:
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages. Trans. Assoc. Comput. Linguistics 9: 410-428 (2021) - [j9]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Efficient Computation of Expectations under Spanning Tree Distributions. Trans. Assoc. Comput. Linguistics 9: 675-690 (2021) - [j8]Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, Desmond Elliott:
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs. Trans. Assoc. Comput. Linguistics 9: 978-994 (2021) - [j7]Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan:
Differentiable Subset Pruning of Transformer Heads. Trans. Assoc. Comput. Linguistics 9: 1442-1459 (2021) - [c103]Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell:
Is Sparse Attention more Interpretable? ACL/IJCNLP (2) 2021: 122-129 - [c102]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Higher-order Derivatives of Weighted Finite-state Machines. ACL/IJCNLP (2) 2021: 240-248 - [c101]Jennifer C. White, Ryan Cotterell:
Examining the Inductive Bias of Neural Language Models with Artificial Languages. ACL/IJCNLP (1) 2021: 454-463 - [c100]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
On Finding the K-best Non-projective Dependency Trees. ACL/IJCNLP (1) 2021: 1324-1337 - [c99]Irene Nikkarinen, Tiago Pimentel, Damián E. Blasi, Ryan Cotterell:
Modeling the Unigram Distribution. ACL/IJCNLP (Findings) 2021: 3721-3729 - [c98]Jason Wei, Clara Meister, Ryan Cotterell:
A Cognitive Regularizer for Language Modeling. ACL/IJCNLP (1) 2021: 5191-5202 - [c97]Clara Meister, Ryan Cotterell:
Language Model Evaluation Beyond Perplexity. ACL/IJCNLP (1) 2021: 5328-5339 - [c96]Clara Meister, Martina Forster, Ryan Cotterell:
Determinantal Beam Search. ACL/IJCNLP (1) 2021: 6551-6562 - [c95]Tiago Pimentel, Ryan Cotterell, Brian Roark:
Disambiguatory Signals are Stronger in Word-initial Positions. EACL 2021: 31-41 - [c94]Martina Forster, Clara Meister, Ryan Cotterell:
Searching for Search Errors in Neural Morphological Inflection. EACL 2021: 1388-1394 - [c93]Shijie Wu, Ryan Cotterell, Mans Hulden:
Applying the Transformer to Character-level Transduction. EACL 2021: 1901-1907 - [c92]Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell:
Conditional Poisson Stochastic Beams. EMNLP (1) 2021: 664-681 - [c91]Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damián E. Blasi, Ryan Cotterell:
A surprisal-duration trade-off across and within the world's languages. EMNLP (1) 2021: 949-962 - [c90]Clara Meister, Tiago Pimentel, Patrick Haller, Lena A. Jäger, Ryan Cotterell, Roger Levy:
Revisiting the Uniform Information Density Hypothesis. EMNLP (1) 2021: 963-980 - [c89]Tiago Pimentel, Ryan Cotterell:
A Bayesian Framework for Information-Theoretic Probing. EMNLP (1) 2021: 2869-2887 - [c88]Tim Vieira, Ryan Cotterell, Jason Eisner:
Searching for More Efficient Dynamic Programs. EMNLP (Findings) 2021: 3812-3830 - [c87]Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer:
A Plug-and-Play Method for Controlled Text Generation. EMNLP (Findings) 2021: 3973-3997 - [c86]Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, Ryan Cotterell:
Classifying Dyads for Militarized Conflict Analysis. EMNLP (1) 2021: 7775-7784 - [c85]Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell:
On Homophony and Rényi Entropy. EMNLP (1) 2021: 8284-8293 - [c84]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Efficient Sampling of Dependency Structure. EMNLP (1) 2021: 10558-10569 - [c83]Rowan Hall Maudslay, Ryan Cotterell:
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing. NAACL-HLT 2021: 124-131 - [c82]Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell:
A Non-Linear Structural Probe. NAACL-HLT 2021: 132-138 - [c81]Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel:
What About the Precedent: An Information-Theoretic Analysis of Common Law. NAACL-HLT 2021: 2275-2288 - [c80]Tiago Pimentel, Brian Roark, Søren Wichmann, Ryan Cotterell, Damián E. Blasi:
Finding Concept-specific Biases in Form-Meaning Associations. NAACL-HLT 2021: 4416-4425 - [c79]Tiago Pimentel, Irene Nikkarinen, Kyle Mahowald, Ryan Cotterell, Damián E. Blasi:
How (Non-)Optimal is the Lexicon? NAACL-HLT 2021: 4426-4438 - [e3]Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-46-6 [contents] - [i99]Tiago Pimentel, Ryan Cotterell, Brian Roark:
Disambiguatory Signals are Stronger in Word-initial Positions. CoRR abs/2102.02183 (2021) - [i98]Shijie Wu, Edoardo Maria Ponti, Ryan Cotterell:
Differentiable Generative Phonology. CoRR abs/2102.05717 (2021) - [i97]Martina Forster, Clara Meister, Ryan Cotterell:
Searching for Search Errors in Neural Morphological Inflection. CoRR abs/2102.08424 (2021) - [i96]Tiago Pimentel, Brian Roark, Søren Wichmann, Ryan Cotterell, Damián E. Blasi:
Finding Concept-specific Biases in Form-Meaning Associations. CoRR abs/2104.06325 (2021) - [i95]Karolina Stanczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, Isabelle Augenstein:
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models. CoRR abs/2104.07505 (2021) - [i94]Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel:
What About the Precedent: An Information-Theoretic Analysis of Common Law. CoRR abs/2104.12133 (2021) - [i93]Tiago Pimentel, Irene Nikkarinen, Kyle Mahowald, Ryan Cotterell, Damián E. Blasi:
How (Non-)Optimal is the Lexicon? CoRR abs/2104.14279 (2021) - [i92]Jason Wei, Clara Meister, Ryan Cotterell:
A Cognitive Regularizer for Language Modeling. CoRR abs/2105.07144 (2021) - [i91]Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell:
A Non-Linear Structural Probe. CoRR abs/2105.10185 (2021) - [i90]Clara Meister, Ryan Cotterell:
Language Model Evaluation Beyond Perplexity. CoRR abs/2106.00085 (2021) - [i89]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Higher-order Derivatives of Weighted Finite-state Machines. CoRR abs/2106.00749 (2021) - [i88]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
On Finding the K-best Non-projective Dependency Trees. CoRR abs/2106.00780 (2021) - [i87]Jennifer C. White, Ryan Cotterell:
Examining the Inductive Bias of Neural Language Models with Artificial Languages. CoRR abs/2106.01044 (2021) - [i86]Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell:
Is Sparse Attention more Interpretable? CoRR abs/2106.01087 (2021) - [i85]Irene Nikkarinen, Tiago Pimentel, Damián E. Blasi, Ryan Cotterell:
Modeling the Unigram Distribution. CoRR abs/2106.02289 (2021) - [i84]Rowan Hall Maudslay, Ryan Cotterell:
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing. CoRR abs/2106.02559 (2021) - [i83]Elizabeth Salesky, Badr M. Abdullah, Sabrina J. Mielke, Elena Klyachko, Oleg Serikov, Edoardo Maria Ponti, Ritesh Kumar, Ryan Cotterell, Ekaterina Vylomova:
SIGTYP 2021 Shared Task: Robust Spoken Language Identification. CoRR abs/2106.03895 (2021) - [i82]Clara Meister, Martina Forster, Ryan Cotterell:
Determinantal Beam Search. CoRR abs/2106.07400 (2021) - [i81]Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Roi Reichart, Anna Korhonen:
Towards Zero-shot Language Modeling. CoRR abs/2108.03334 (2021) - [i80]Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan:
Differentiable Subset Pruning of Transformer Heads. CoRR abs/2108.04657 (2021) - [i79]Tiago Pimentel, Ryan Cotterell:
A Bayesian Framework for Information-Theoretic Probing. CoRR abs/2109.03853 (2021) - [i78]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Efficient Sampling of Dependency Structures. CoRR abs/2109.06521 (2021) - [i77]Tim Vieira, Ryan Cotterell, Jason Eisner:
Searching for More Efficient Dynamic Programs. CoRR abs/2109.06966 (2021) - [i76]Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer:
A Plug-and-Play Method for Controlled Text Generation. CoRR abs/2109.09707 (2021) - [i75]Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell:
Conditional Poisson Stochastic Beam Search. CoRR abs/2109.11034 (2021) - [i74]Clara Meister, Tiago Pimentel, Patrick Haller, Lena A. Jäger, Ryan Cotterell, Roger Levy:
Revisiting the Uniform Information Density Hypothesis. CoRR abs/2109.11635 (2021) - [i73]Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, Ryan Cotterell:
Classifying Dyads for Militarized Conflict Analysis. CoRR abs/2109.12860 (2021) - [i72]Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell:
On Homophony and Rényi Entropy. CoRR abs/2109.13766 (2021) - [i71]Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damián E. Blasi, Ryan Cotterell:
A surprisal-duration trade-off across and within the world's languages. CoRR abs/2109.15000 (2021) - [i70]Alexander Immer, Lucas Torroba Hennigen, Vincent Fortuin, Ryan Cotterell:
Probing as Quantifying the Inductive Bias of Pre-trained Representations. CoRR abs/2110.08388 (2021) - [i69]Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams:
A Word on Machine Ethics: A Response to Jiang et al. (2021). CoRR abs/2111.04158 (2021) - 2020
- [j6]Tiago Pimentel, Brian Roark, Ryan Cotterell:
Phonotactic Complexity and its Trade-offs. Trans. Assoc. Comput. Linguistics 8: 1-18 (2020) - [j5]Clara Meister, Ryan Cotterell, Tim Vieira:
Best-First Beam Search. Trans. Assoc. Comput. Linguistics 8: 795-809 (2020) - [c78]Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki:
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. ACL 2020: 1640-1649 - [c77]Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W. Black, Jason Eisner:
A Corpus for Large-Scale Phonetic Typology. ACL 2020: 4526-4546 - [c76]Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell:
Information-Theoretic Probing for Linguistic Structure. ACL 2020: 4609-4622 - [c75]Adina Williams, Tiago Pimentel, Hagen Blix, Arya D. McCarthy, Eleanor Chodroff, Ryan Cotterell:
Predicting Declension Class from Form and Meaning. ACL 2020: 6682-6695 - [c74]Clara Meister, Elizabeth Salesky, Ryan Cotterell:
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing. ACL 2020: 6870-6886 - [c73]Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams, Ryan Cotterell:
A Tale of a Probe and a Parser. ACL 2020: 7389-7395 - [c72]Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell, Nizar Habash:
The Paradigm Discovery Problem. ACL 2020: 7778-7790 - [c71]Rowan Hall Maudslay, Tiago Pimentel, Ryan Cotterell, Simone Teufel:
Metaphor Detection using Context and Concreteness. Fig-Lang@ACL 2020: 221-226 - [c70]Paula Czarnowska, Sebastian Ruder, Ryan Cotterell, Ann A. Copestake:
Morphologically Aware Word-Level Translation. COLING 2020: 2847-2860 - [c69]Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell:
Intrinsic Probing through Dimension Selection. EMNLP (1) 2020: 197-216 - [c68]Clara Meister, Ryan Cotterell, Tim Vieira:
If beam search is the answer, what was the question? EMNLP (1) 2020: 2173-2185 - [c67]Francisco Vargas, Ryan Cotterell:
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. EMNLP (1) 2020: 2902-2913 - [c66]Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell:
Pareto Probing: Trading Off Accuracy for Complexity. EMNLP (1) 2020: 3138-3153 - [c65]Tiago Pimentel, Rowan Hall Maudslay, Damián E. Blasi, Ryan Cotterell:
Speakers Fill Lexical Semantic Gaps with Context. EMNLP (1) 2020: 4004-4015 - [c64]Jun Yen Leung, Guy Emerson, Ryan Cotterell:
Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model. EMNLP (1) 2020: 4016-4028 - [c63]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Please Mind the Root: Decoding Arborescences for Dependency Parsing. EMNLP (1) 2020: 4809-4819 - [c62]Arya D. McCarthy, Adina Williams, Shijia Liu, David Yarowsky, Ryan Cotterell:
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions. EMNLP (1) 2020: 5664-5675 - [c61]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:
UniMorph 3.0: Universal Morphology. LREC 2020: 3922-3931 - [c60]Ekaterina Vylomova, Jennifer C. White, Elizabeth Salesky, Sabrina J. Mielke, Shijie Wu, Edoardo Maria Ponti, Rowan Hall Maudslay, Ran Zmigrod, Josef Valvoda, Svetlana Toldova, Francis M. 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:
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. SIGMORPHON 2020: 1-39 - [e2]Garrett Nicolai, Kyle Gorman, Ryan Cotterell:
Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, SIGMORPHON 2020, Online, July 10, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-19-4 [contents] - [i68]Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Marinela Parovic, Roi Reichart, Anna Korhonen:
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages. CoRR abs/2001.11453 (2020) - [i67]Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell:
Information-Theoretic Probing for Linguistic Structure. CoRR abs/2004.03061 (2020) - [i66]Adina Williams, Tiago Pimentel, Arya D. McCarthy, Hagen Blix, Eleanor Chodroff, Ryan Cotterell:
Predicting Declension Class from Form and Meaning. CoRR abs/2005.00626 (2020) - [i65]Clara Meister, Elizabeth Salesky, Ryan Cotterell:
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing. CoRR abs/2005.00820 (2020) - [i64]Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián E. Blasi, Hanna M. Wallach:
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs. CoRR abs/2005.01204 (2020) - [i63]Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell, Nizar Habash:
The Paradigm Discovery Problem. CoRR abs/2005.01630 (2020) - [i62]Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams, Ryan Cotterell:
A Tale of a Probe and a Parser. CoRR abs/2005.01641 (2020) - [i61]Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki:
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. CoRR abs/2005.02354 (2020) - [i60]Tiago Pimentel, Brian Roark, Ryan Cotterell:
Phonotactic Complexity and its Trade-offs. CoRR abs/2005.03774 (2020) - [i59]Shijie Wu, Ryan Cotterell, Mans Hulden:
Applying the Transformer to Character-level Transduction. CoRR abs/2005.10213 (2020) - [i58]Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W. Black, Jason Eisner:
A Corpus for Large-Scale Phonetic Typology. CoRR abs/2005.13962 (2020) - [i57]Ekaterina Vylomova, Jennifer C. White, Elizabeth Salesky, Sabrina J. Mielke, Shijie Wu, Edoardo Maria Ponti, Rowan Hall Maudslay, Ran Zmigrod, Josef Valvoda, Svetlana Toldova, Francis M. 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:
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. CoRR abs/2006.11572 (2020) - [i56]Clara Meister, Tim Vieira, Ryan Cotterell:
Best-First Beam Search. CoRR abs/2007.03909 (2020) - [i55]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Efficient Computation of Expectations under Spanning Tree Distributions. CoRR abs/2008.12988 (2020) - [i54]Francisco Vargas, Ryan Cotterell:
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. CoRR abs/2009.09435 (2020) - [i53]Tiago Pimentel, Rowan Hall Maudslay, Damián E. Blasi, Ryan Cotterell:
Speakers Fill Lexical Semantic Gaps with Context. CoRR abs/2010.02172 (2020) - [i52]Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell:
Pareto Probing: Trading Off Accuracy for Complexity. CoRR abs/2010.02180 (2020) - [i51]Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Please Mind the Root: Decoding Arborescences for Dependency Parsing. CoRR abs/2010.02550 (2020) - [i50]Clara Meister, Tim Vieira, Ryan Cotterell:
If beam search is the answer, what was the question? CoRR abs/2010.02650 (2020) - [i49]Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell:
Intrinsic Probing through Dimension Selection. CoRR abs/2010.02812 (2020) - [i48]Jun Yen Leung, Guy Emerson, Ryan Cotterell:
Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model. CoRR abs/2010.04755 (2020) - [i47]Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke, Aditi Chaudhary, Giuseppe G. A. Celano, Edoardo Maria Ponti, Ekaterina Vylomova, Ryan Cotterell, Isabelle Augenstein:
SIGTYP 2020 Shared Task: Prediction of Typological Features. CoRR abs/2010.08246 (2020) - [i46]Paula Czarnowska, Sebastian Ruder, Ryan Cotterell, Ann A. Copestake:
Morphologically Aware Word-Level Translation. CoRR abs/2011.07593 (2020) - [i45]Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, Desmond Elliott:
Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs. CoRR abs/2011.15124 (2020)
2010 – 2019
- 2019
- [j4]Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner:
On the Complexity and Typology of Inflectional Morphological Systems. Trans. Assoc. Comput. Linguistics 7: 327-342 (2019) - [c59]Shijie Wu, Ryan Cotterell:
Exact Hard Monotonic Attention for Character-Level Transduction. ACL (1) 2019: 1530-1537 - [c58]Ran Zmigrod, S. J. Mielke, Hanna M. Wallach, Ryan Cotterell:
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology. ACL (1) 2019: 1651-1661 - [c57]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell:
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. ACL (1) 2019: 1706-1716 - [c56]Tiago Pimentel, Arya D. McCarthy, Damián E. Blasi, Brian Roark, Ryan Cotterell:
Meaning to Form: Measuring Systematicity as Information. ACL (1) 2019: 1751-1764 - [c55]Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein:
Uncovering Probabilistic Implications in Typological Knowledge Bases. ACL (1) 2019: 3924-3930 - [c54]Damián E. Blasi, Ryan Cotterell, Lawrence Wolf-Sonkin, Sabine Stoll, Balthasar Bickel, Marco Baroni:
On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study. ACL (1) 2019: 3938-3943 - [c53]S. J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner:
What Kind of Language Is Hard to Language-Model? ACL (1) 2019: 4975-4989 - [c52]Shijie Wu, Ryan Cotterell, Timothy J. O'Donnell:
Morphological Irregularity Correlates with Frequency. ACL (1) 2019: 5117-5126 - [c51]Tiago Pimentel, Brian Roark, Ryan Cotterell:
Rethinking Phonotactic Complexity. WNLP@ACL 2019: 88-90 - [c50]Kyle Gorman, Arya D. McCarthy, Ryan Cotterell, Ekaterina Vylomova, Miikka Silfverberg, Magdalena Markowska:
Weird Inflects but OK: Making Sense of Morphological Generation Errors. CoNLL 2019: 140-151 - [c49]Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann A. Copestake:
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. EMNLP/IJCNLP (1) 2019: 974-983 - [c48]Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Roi Reichart, Anna Korhonen:
Towards Zero-shot Language Modeling. EMNLP/IJCNLP (1) 2019: 2900-2910 - [c47]Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, Simone Teufel:
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. EMNLP/IJCNLP (1) 2019: 5266-5274 - [c46]Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang:
Examining Gender Bias in Languages with Grammatical Gender. EMNLP/IJCNLP (1) 2019: 5275-5283 - [c45]Adina Williams, Damián E. Blasi, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell:
Quantifying the Semantic Core of Gender Systems. EMNLP/IJCNLP (1) 2019: 5733-5738 - [c44]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. NAACL-HLT (1) 2019: 629-634 - [c43]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein:
Combining Sentiment Lexica with a Multi-View Variational Autoencoder. NAACL-HLT (1) 2019: 635-640 - [c42]Chaitanya Malaviya, Shijie Wu, Ryan Cotterell:
A Simple Joint Model for Improved Contextual Neural Lemmatization. NAACL-HLT (1) 2019: 1517-1528 - [c41]Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein:
A Probabilistic Generative Model of Linguistic Typology. NAACL-HLT (1) 2019: 1529-1540 - [c40]Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin, Jason Eisner:
Contextualization of Morphological Inflection. NAACL-HLT (1) 2019: 2018-2024 - [c39]Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell:
On the Idiosyncrasies of the Mandarin Chinese Classifier System. NAACL-HLT (1) 2019: 4100-4106 - [i44]Shijia Liu, Adina Williams, Hongyuan Mei, Ryan Cotterell:
On the Idiosyncrasies of the Mandarin Chinese Classifier System. CoRR abs/1902.10193 (2019) - [i43]Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein:
A Probabilistic Generative Model of Linguistic Typology. CoRR abs/1903.10950 (2019) - [i42]Chaitanya Malaviya, Shijie Wu, Ryan Cotterell:
A Simple Joint Model for Improved Contextual Neural Lemmatization. CoRR abs/1904.02306 (2019) - [i41]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein:
Combining Sentiment Lexica with a Multi-View Variational Autoencoder. CoRR abs/1904.02839 (2019) - [i40]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. CoRR abs/1904.03310 (2019) - [i39]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner:
Contextualization of Morphological Inflection. CoRR abs/1905.01420 (2019) - [i38]Shijie Wu, Ryan Cotterell:
Exact Hard Monotonic Attention for Character-Level Transduction. CoRR abs/1905.06319 (2019) - [i37]Ran Zmigrod, Sabrina J. Mielke, Hanna M. Wallach, Ryan Cotterell:
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology. CoRR abs/1906.04571 (2019) - [i36]Sabrina J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner:
What Kind of Language Is Hard to Language-Model? CoRR abs/1906.04726 (2019) - [i35]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell:
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. CoRR abs/1906.04760 (2019) - [i34]Tiago Pimentel, Arya D. McCarthy, Damián E. Blasi, Brian Roark, Ryan Cotterell:
Meaning to Form: Measuring Systematicity as Information. CoRR abs/1906.05906 (2019) - [i33]Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein:
Uncovering Probabilistic Implications in Typological Knowledge Bases. CoRR abs/1906.07389 (2019) - [i32]Shijie Wu, Ryan Cotterell, Timothy J. O'Donnell:
Morphological Irregularity Correlates with Frequency. CoRR abs/1906.11483 (2019) - [i31]Ryan Cotterell, Hinrich Schütze:
Morphological Word Embeddings. CoRR abs/1907.02423 (2019) - [i30]Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, Simone Teufel:
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. CoRR abs/1909.00871 (2019) - [i29]Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang:
Examining Gender Bias in Languages with Grammatical Gender. CoRR abs/1909.02224 (2019) - [i28]Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann A. Copestake:
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. CoRR abs/1909.02855 (2019) - [i27]Arya D. McCarthy, Ekaterina Vylomova, Shijie Wu, Chaitanya Malaviya, Lawrence Wolf-Sonkin, Garrett Nicolai, Christo Kirov, Miikka Silfverberg, S. J. Mielke, Jeffrey Heinz, Ryan Cotterell, Mans Hulden:
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection. CoRR abs/1910.11493 (2019) - [i26]Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián E. Blasi, Hanna M. Wallach:
Quantifying the Semantic Core of Gender Systems. CoRR abs/1910.13497 (2019) - [i25]Ryan Cotterell, Arun Kumar, Hinrich Schütze:
Morphological Segmentation Inside-Out. CoRR abs/1911.04916 (2019) - 2018
- [j3]Ryan Cotterell, Hinrich Schütze:
Joint Semantic Synthesis and Morphological Analysis of the Derived Word. Trans. Assoc. Comput. Linguistics 6: 33-48 (2018) - [j2]Christo Kirov, Ryan Cotterell:
Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate. Trans. Assoc. Comput. Linguistics 6: 651-665 (2018) - [c38]Lawrence Wolf-Sonkin, Jason Naradowsky, S. J. Mielke, Ryan Cotterell:
A Structured Variational Autoencoder for Contextual Morphological Inflection. ACL (1) 2018: 2631-2641 - [c37]Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell, Mans Hulden, David Yarowsky:
Marrying Universal Dependencies and Universal Morphology. UDW@EMNLP 2018: 91-101 - [c36]Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Arya D. McCarthy, Katharina Kann, S. J. Mielke, Garrett Nicolai, Miikka Silfverberg, David Yarowsky, Jason Eisner, Mans Hulden:
The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. CoNLL Shared Task (1) 2018: 1-27 - [c35]Yova Kementchedjhieva, Sebastian Ruder, Ryan Cotterell, Anders Søgaard:
Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. CoNLL 2018: 211-220 - [c34]Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva, Anders Søgaard:
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction. EMNLP 2018: 458-468 - [c33]Shijie Wu, Pamela Shapiro, Ryan Cotterell:
Hard Non-Monotonic Attention for Character-Level Transduction. EMNLP 2018: 4425-4438 - [c32]Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, S. J. Mielke, Arya McCarthy, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden:
UniMorph 2.0: Universal Morphology. LREC 2018 - [c31]Ryan Cotterell, Jason Eisner:
A Deep Generative Model of Vowel Formant Typology. NAACL-HLT 2018: 37-46 - [c30]Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark:
Are All Languages Equally Hard to Language-Model? NAACL-HLT (2) 2018: 536-541 - [c29]Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner:
Unsupervised Disambiguation of Syncretism in Inflected Lexicons. NAACL-HLT (2) 2018: 548-553 - [e1]Mans Hulden, Ryan Cotterell:
Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, Brussels, October 31 - November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-83-4 [contents] - [i24]Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner:
On the Diachronic Stability of Irregularity in Inflectional Morphology. CoRR abs/1804.08262 (2018) - [i23]Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner:
Unsupervised Disambiguation of Syncretism in Inflected Lexicons. CoRR abs/1806.03740 (2018) - [i22]Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark:
Are All Languages Equally Hard to Language-Model? CoRR abs/1806.03743 (2018) - [i21]Lawrence Wolf-Sonkin, Jason Naradowsky, S. J. Mielke, Ryan Cotterell:
A Structured Variational Autoencoder for Contextual Morphological Inflection. CoRR abs/1806.03746 (2018) - [i20]Ryan Cotterell, Julia Kreutzer:
Explaining and Generalizing Back-Translation through Wake-Sleep. CoRR abs/1806.04402 (2018) - [i19]Ryan Cotterell, Jason Eisner:
A Deep Generative Model of Vowel Formant Typology. CoRR abs/1807.02745 (2018) - [i18]Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner:
On the Complexity and Typology of Inflectional Morphological Systems. CoRR abs/1807.02747 (2018) - [i17]Christo Kirov, Ryan Cotterell:
Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate. CoRR abs/1807.04783 (2018) - [i16]Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva, Anders Søgaard:
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction. CoRR abs/1808.09334 (2018) - [i15]Shijie Wu, Pamela Shapiro, Ryan Cotterell:
Hard Non-Monotonic Attention for Character-Level Transduction. CoRR abs/1808.10024 (2018) - [i14]Yova Kementchedjhieva, Sebastian Ruder, Ryan Cotterell, Anders Søgaard:
Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. CoRR abs/1809.00064 (2018) - [i13]Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell, Mans Hulden, David Yarowsky:
Marrying Universal Dependencies and Universal Morphology. CoRR abs/1810.06743 (2018) - [i12]Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Arya D. McCarthy, Katharina Kann, S. J. Mielke, Garrett Nicolai, Miikka Silfverberg, David Yarowsky, Jason Eisner, Mans Hulden:
The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. CoRR abs/1810.07125 (2018) - [i11]Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, S. J. Mielke, Arya D. McCarthy, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden:
UniMorph 2.0: Universal Morphology. CoRR abs/1810.11101 (2018) - 2017
- [c28]Ryan Cotterell, Jason Eisner:
Probabilistic Typology: Deep Generative Models of Vowel Inventories. ACL (1) 2017: 1182-1192 - [c27]Katharina Kann, Ryan Cotterell, Hinrich Schütze:
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. ACL (1) 2017: 1993-2003 - [c26]Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden:
CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages. CoNLL Shared Task (1) 2017: 1-30 - [c25]Christo Kirov, John Sylak-Glassman, Rebecca Knowles, Ryan Cotterell, Matt Post:
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax. EACL (2) 2017: 112-117 - [c24]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn:
Context-Aware Prediction of Derivational Word-forms. EACL (2) 2017: 118-124 - [c23]Ryan Cotterell, Adam Poliak, Benjamin Van Durme, Jason Eisner:
Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. EACL (2) 2017: 175-181 - [c22]Arun Kumar, Ryan Cotterell, Lluís Padró, Antoni Oliver:
Morphological Analysis of the Dravidian Language Family. EACL (2) 2017: 217-222 - [c21]Katharina Kann, Ryan Cotterell, Hinrich Schütze:
Neural Multi-Source Morphological Reinflection. EACL (1) 2017: 514-524 - [c20]Ryan Cotterell, John Sylak-Glassman, Christo Kirov:
Neural Graphical Models over Strings for Principal Parts Morphological Paradigm Completion. EACL (2) 2017: 759-765 - [c19]Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky:
Paradigm Completion for Derivational Morphology. EMNLP 2017: 714-720 - [c18]Ryan Cotterell, Georg Heigold:
Cross-lingual Character-Level Neural Morphological Tagging. EMNLP 2017: 748-759 - [c17]Ryan Cotterell, Kevin Duh:
Low-Resource Named Entity Recognition with Cross-lingual, Character-Level Neural Conditional Random Fields. IJCNLP(2) 2017: 91-96 - [c16]Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme:
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. *SEM 2017: 97-103 - [i10]Ryan Cotterell, Hinrich Schütze:
Joint Semantic Synthesis and Morphological Analysis of the Derived Word. CoRR abs/1701.00946 (2017) - [i9]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn:
Context-Aware Prediction of Derivational Word-forms. CoRR abs/1702.06675 (2017) - [i8]Katharina Kann, Ryan Cotterell, Hinrich Schütze:
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. CoRR abs/1704.00052 (2017) - [i7]Ryan Cotterell, Jason Eisner:
Probabilistic Typology: Deep Generative Models of Vowel Inventories. CoRR abs/1705.01684 (2017) - [i6]Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden:
CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages. CoRR abs/1706.09031 (2017) - [i5]Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme:
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. CoRR abs/1706.09562 (2017) - [i4]Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky:
Paradigm Completion for Derivational Morphology. CoRR abs/1708.09151 (2017) - [i3]Ryan Cotterell, Georg Heigold:
Cross-lingual, Character-Level Neural Morphological Tagging. CoRR abs/1708.09157 (2017) - 2016
- [c15]Ryan Cotterell, Hinrich Schütze, Jason Eisner:
Morphological Smoothing and Extrapolation of Word Embeddings. ACL (1) 2016 - [c14]Katharina Kann, Ryan Cotterell, Hinrich Schütze:
Neural Morphological Analysis: Encoding-Decoding Canonical Segments. EMNLP 2016: 961-967 - [c13]Tim Vieira, Ryan Cotterell, Jason Eisner:
Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity. EMNLP 2016: 1973-1978 - [c12]Ryan Cotterell, Arun Kumar, Hinrich Schütze:
Morphological Segmentation Inside-Out. EMNLP 2016: 2325-2330 - [c11]Pushpendre Rastogi, Ryan Cotterell, Jason Eisner:
Weighting Finite-State Transductions With Neural Context. HLT-NAACL 2016: 623-633 - [c10]Ryan Cotterell, Tim Vieira, Hinrich Schütze:
A Joint Model of Orthography and Morphological Segmentation. HLT-NAACL 2016: 664-669 - [c9]Ryan Cotterell, Christo Kirov, John Sylak-Glassman, David Yarowsky, Jason Eisner, Mans Hulden:
The SIGMORPHON 2016 Shared Task - Morphological Reinflection. SIGMORPHON 2016: 10-22 - [i2]Chandler May, Ryan Cotterell, Benjamin Van Durme:
Analysis of Morphology in Topic Modeling. CoRR abs/1608.03995 (2016) - [i1]Katharina Kann, Ryan Cotterell, Hinrich Schütze:
Neural Multi-Source Morphological Reinflection. CoRR abs/1612.06027 (2016) - 2015
- [j1]Ryan Cotterell, Nanyun Peng, Jason Eisner:
Modeling Word Forms Using Latent Underlying Morphs and Phonology. Trans. Assoc. Comput. Linguistics 3: 433-447 (2015) - [c8]Ryan Cotterell, Thomas Müller, Alexander M. Fraser, Hinrich Schütze:
Labeled Morphological Segmentation with Semi-Markov Models. CoNLL 2015: 164-174 - [c7]Nanyun Peng, Ryan Cotterell, Jason Eisner:
Dual Decomposition Inference for Graphical Models over Strings. EMNLP 2015: 917-927 - [c6]Thomas Müller, Ryan Cotterell, Alexander M. Fraser, Hinrich Schütze:
Joint Lemmatization and Morphological Tagging with Lemming. EMNLP 2015: 2268-2274 - [c5]Ryan Cotterell, Jason Eisner:
Penalized Expectation Propagation for Graphical Models over Strings. HLT-NAACL 2015: 932-942 - [c4]Ryan Cotterell, Hinrich Schütze:
Morphological Word-Embeddings. HLT-NAACL 2015: 1287-1292 - 2014
- [c3]Ryan Cotterell, Nanyun Peng, Jason Eisner:
Stochastic Contextual Edit Distance and Probabilistic FSTs. ACL (2) 2014: 625-630 - [c2]Gaurav Kumar, Yuan Cao, Ryan Cotterell, Chris Callison-Burch, Daniel Povey, Sanjeev Khudanpur:
Translations of the Callhome Egyptian Arabic corpus for conversational speech translation. IWSLT 2014 - [c1]Ryan Cotterell, Chris Callison-Burch:
A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic. LREC 2014: 241-245
Coauthor Index
Arya McCarthy
aka: Arya D. McCarthy
aka: Arya D. McCarthy
[c158] [i201] [j18] [j17] [j16] [j15] [j14] [c153] [c152] [c148] [c144] [c142] [c137] [c134] [c130] [i156] [i153] [i152] [i149] [i148] [i142] [i137] [j12] [c126] [c125] [c124] [c118] [i132] [i131] [i130] [i129] [i128] [i122] [i121] [i109] [i102] [i100] [c103] [c98] [c97] [c96] [c94] [c92] [c91] [c90] [c87] [c85] [i97] [i92] [i90] [i86] [i82] [i76] [i75] [i74] [i72] [i71] [j5] [c74] [c68] [i65] [i56] [i50]
Sabrina J. Mielke
aka: S. J. Mielke
aka: S. J. Mielke
[j22] [i183] [j20] [j18] [j17] [j16] [j15] [j14] [c152] [c144] [c142] [c139] [c137] [c134] [c132] [c131] [c130] [i156] [i149] [i148] [i141] [i140] [i137] [c126] [c125] [c122] [c113] [c111] [i132] [i130] [i129] [i127] [i124] [i122] [i121] [i115] [i113] [i105] [i102] [i100] [c99] [c95] [c91] [c90] [c89] [c85] [c82] [c81] [c80] [c79] [i99] [i96] [i95] [i94] [i93] [i91] [i85] [i79] [i74] [i72] [i71] [j6] [c77] [c76] [c75] [c73] [c71] [c66] [c65] [c60] [i67] [i66] [i62] [i60] [i58] [i57] [i53] [i52] [c56] [c51] [i34]
Edoardo Maria Ponti
aka: Edoardo M. Ponti
aka: Edoardo M. Ponti
[c189] [c187] [c186] [c181] [c167] [i207] [i186] [i184] [i180] [i169] [c153] [c150] [c139] [c136] [c131] [i167] [i153] [i151] [i143] [i141] [c116] [c114] [c105] [i126] [i115] [i111] [j9] [c102] [c100] [c92] [c88] [c84] [i89] [i88] [i78] [i77] [i75] [j5] [c68] [c63] [i56] [i55] [i51] [i50] [c13] [c10]
Alex Warstadt
aka: Alexander Warstadt
aka: Alexander Warstadt
Ethan Wilcox
aka: Ethan Gotlieb Wilcox
aka: Ethan Gotlieb Wilcox
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