Jason Eisner - RankMe

215 papers A* 41A 3B 6C 1Misc 1Journal 80Unranked 80

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Language Model Workflows with Prompt Choreography. Trans. Assoc. Comput. Linguistics TJ Bai, Jason Eisner
2026	—	`conf`	LLMs Know More About Numbers than They Can Say. EACL (Volume 2: Short Papers) Fengting Yuchi, Li Du, Jason Eisner
2026	J	`jnl`	LLMs Know More About Numbers than They Can Say. CoRR Fengting Yuchi, Li Du, Jason Eisner
2025	J	`jnl`	Accelerating Language Model Workflows with Prompt Choreography. CoRR TJ Bai, Jason Eisner
2025	J	`jnl`	Automating the Analysis of Parsing Algorithms (and other Dynamic Programs). CoRR Tim Vieira, Ryan Cotterell, Jason Eisner
2025	J	`jnl`	Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling. CoRR Benjamin Lipkin, Benjamin LeBrun, Jacob Hoover Vigly, João Loula, David R. MacIver, Li Du, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Timothy J. O'Donnell, Alexander K. Lew, Tim Vieira
2025	J	`jnl`	Fine-Tuning LLMs with Fine-Grained Human Feedback on Text Spans. CoRR Sky CH-Wang, Justin Svegliato, Helen Appel, Jason Eisner
2025	J	`jnl`	LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. CoRR Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie
2025	—	`conf`	MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools. NAACL (Long Papers) Nishant Subramani, Jason Eisner, Justin Svegliato, Benjamin Van Durme, Yu Su, Sam Thomson
2025	J	`jnl`	MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools. CoRR Nishant Subramani, Jason Eisner, Justin Svegliato, Benjamin Van Durme, Yu Su, Sam Thomson
2025	A*	`conf`	Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. ICLR 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	J	`jnl`	Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. CoRR 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
2024	—	`conf`	A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. ACL (1) Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
2024	J	`jnl`	Decision-Oriented Dialogue for Human-AI Collaboration. Trans. Assoc. Comput. Linguistics Jessy Lin, Nicholas Tomlin, Jacob Andreas, Jason Eisner
2024	—	`conf`	Do Androids Know They're Only Dreaming of Electric Sheep? ACL (Findings) Sky CH-Wang, Benjamin Van Durme, Jason Eisner, Chris Kedzie
2024	—	`conf`	Interpreting User Requests in the Context of Natural Language Standing Instructions. NAACL-HLT (Findings) Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani
2024	—	`conf`	LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. ACL (1) Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie
2024	—	`conf`	LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. ACL (1) Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su
2024	J	`jnl`	LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. CoRR Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su
2024	A*	`conf`	Language-to-Code Translation with a Single Labeled Example. EMNLP Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas
2024	A*	`conf`	Learning to Retrieve Iteratively for In-Context Learning. EMNLP Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme
2024	J	`jnl`	Learning to Retrieve Iteratively for In-Context Learning. CoRR Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme
2024	J	`jnl`	Let's Think Var-by-Var: Large Language Models Enable Ad Hoc Probabilistic Reasoning. CoRR Shepard Xia, Brian Lu, Jason Eisner
2024	A*	`conf`	Principled Gradient-Based MCMC for Conditional Sampling of Text. ICML Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell
2024	—	`conf`	When is a Language Process a Language Model? ACL (Findings) Li Du, Holden Lee, Jason Eisner, Ryan Cotterell
2023	J	`jnl`	A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. CoRR Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
2023	—	`conf`	A Measure-Theoretic Characterization of Tight Language Models. ACL (1) Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell
2023	J	`jnl`	Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. CoRR Anej Svete, Benjamin Dayan, Tim Vieira, Ryan Cotterell, Jason Eisner
2023	J	`jnl`	Autoregressive Modeling with Lookahead Attention. CoRR Li Du, Hongyuan Mei, Jason Eisner
2023	A*	`conf`	BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing. NeurIPS Subhro Roy, Samuel Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme
2023	—	`conf`	Contrastive Decoding: Open-ended Text Generation as Optimization. ACL (1) Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis
2023	J	`jnl`	Decision-Oriented Dialogue for Human-AI Collaboration. CoRR Jessy Lin, Nicholas Tomlin, Jacob Andreas, Jason Eisner
2023	J	`jnl`	Do Androids Know They're Only Dreaming of Electric Sheep? CoRR Sky CH-Wang, Benjamin Van Durme, Jason Eisner, Chris Kedzie
2023	—	`conf`	Efficient Semiring-Weighted Earley Parsing. ACL (1) Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner
2023	J	`jnl`	Efficient Semiring-Weighted Earley Parsing. CoRR Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner
2023	J	`jnl`	Interpreting User Requests in the Context of Natural Language Standing Instructions. CoRR Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani
2023	A*	`conf`	Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL. EMNLP Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
2023	A	`conf`	On the Intersection of Context-Free and Regular Languages. EACL Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell
2023	J	`jnl`	Principled Gradient-based Markov Chain Monte Carlo for Text Generation. CoRR Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason Eisner, Holden Lee, Ryan Cotterell
2023	—	`conf`	Privacy-Preserving Domain Adaptation of Semantic Parsers. ACL (1) Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin
2023	J	`jnl`	SCREWS: A Modular Framework for Reasoning with Revisions. CoRR Kumar Shridhar, Harsh Jhamtani, Hao Fang, Benjamin Van Durme, Jason Eisner, Patrick Xia
2023	J	`jnl`	Structure-Aware Path Inference for Neural Finite State Transducers. CoRR Weiting Tan, Chu-Cheng Lin, Jason Eisner
2023	—	`conf`	The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. ACL (Findings) Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
2023	J	`jnl`	Time-and-Space-Efficient Weighted Deduction. Trans. Assoc. Comput. Linguistics Jason Eisner
2023	—	`conf`	Toward Interactive Dictation. ACL (1) Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
2023	J	`jnl`	Toward Interactive Dictation. CoRR Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
2023	A	`conf`	Unsupervised Code-switched Text Generation from Parallel Text. INTERSPEECH Jie Chi, Brian Lu, Jason Eisner, Peter Bell, Preethi Jyothi, Ahmed M. Ali
2022	J	`jnl`	A Measure-Theoretic Characterization of Tight Language Models. CoRR Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell
2022	J	`jnl`	Active Programming by Example with a Natural Language Prior. CoRR Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
2022	A*	`conf`	Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. EMNLP Anej Svete, Benjamin Dayan, Ryan Cotterell, Tim Vieira, Jason Eisner
2022	J	`jnl`	BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing. CoRR Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme
2022	J	`jnl`	Contrastive Decoding: Open-ended Text Generation as Optimization. CoRR Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis
2022	J	`jnl`	On the Intersection of Context-Free and Regular Languages. CoRR Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell
2022	—	`conf`	Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue. ACL (1) Jiawei Zhou, Jason Eisner, Michael Newman, Emmanouil Antonios Platanios, Sam Thomson
2022	J	`jnl`	Privacy-Preserving Domain Adaptation of Semantic Parsers. CoRR Fatemehsadat Mireshghallah, Richard Shin, Yu Su, Tatsunori Hashimoto, Jason Eisner
2022	J	`jnl`	The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. CoRR Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
2022	A*	`conf`	Transformer Embeddings of Irregularly Spaced Events and Their Participants. ICLR Hongyuan Mei, Chenghao Yang, Jason Eisner
2022	J	`jnl`	Transformer Embeddings of Irregularly Spaced Events and Their Participants. CoRR Chenghao Yang, Hongyuan Mei, Jason Eisner
2022	A*	`conf`	When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. EMNLP Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su
2022	J	`jnl`	When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. CoRR Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su
2021	—	`conf`	Constrained Language Models Yield Few-Shot Semantic Parsers. EMNLP (1) Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme
2021	J	`jnl`	Constrained Language Models Yield Few-Shot Semantic Parsers. CoRR Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme
2021	—	`conf`	Learning How to Ask: Querying LMs with Mixtures of Soft Prompts. NAACL-HLT Guanghui Qin, Jason Eisner
2021	J	`jnl`	Learning How to Ask: Querying LMs with Mixtures of Soft Prompts. CoRR Guanghui Qin, Jason Eisner
2021	—	`conf`	Limitations of Autoregressive Models and Their Alternatives. NAACL-HLT Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner
2021	—	`conf`	Searching for More Efficient Dynamic Programs. EMNLP (Findings) Tim Vieira, Ryan Cotterell, Jason Eisner
2021	J	`jnl`	Searching for More Efficient Dynamic Programs. CoRR Tim Vieira, Ryan Cotterell, Jason Eisner
2020	A*	`conf`	A Corpus for Large-Scale Phonetic Typology. ACL Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W. Black, Jason Eisner
2020	J	`jnl`	A Corpus for Large-Scale Phonetic Typology. CoRR Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W. Black, Jason Eisner
2020	J	`jnl`	Autoregressive Modeling is Misspecified for Some Sequence Distributions. CoRR Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner
2020	J	`jnl`	Evaluation of Logic Programs with Built-Ins and Aggregation: A Calculus for Bag Relations. CoRR Matthew Francis-Landau, Tim Vieira, Jason Eisner
2020	A*	`conf`	Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. ICML Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner
2020	J	`jnl`	Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. CoRR Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner
2020	A*	`conf`	Noise-Contrastive Estimation for Multivariate Point Processes. NeurIPS Hongyuan Mei, Tom Wan, Jason Eisner
2020	J	`jnl`	Noise-Contrastive Estimation for Multivariate Point Processes. CoRR Hongyuan Mei, Tom Wan, Jason Eisner
2020	A*	`conf`	Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract). IJCAI Xiang Lisa Li, Jason Eisner
2020	J	`jnl`	Task-Oriented Dialogue as Dataflow Synthesis. CoRR Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov
2020	J	`jnl`	Task-Oriented Dialogue as Dataflow Synthesis. Trans. Assoc. Comput. Linguistics Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov
2019	J	`jnl`	A Generative Model for Punctuation in Dependency Trees. CoRR Xiang Lisa Li, Dingquan Wang, Jason Eisner
2019	J	`jnl`	A Generative Model for Punctuation in Dependency Trees. Trans. Assoc. Comput. Linguistics Xiang Lisa Li, Dingquan Wang, Jason Eisner
2019	—	`conf`	Contextualization of Morphological Inflection. NAACL-HLT (1) Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin, Jason Eisner
2019	J	`jnl`	Contextualization of Morphological Inflection. CoRR Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner
2019	A*	`conf`	Imputing Missing Events in Continuous-Time Event Streams. ICML Hongyuan Mei, Guanghui Qin, Jason Eisner
2019	J	`jnl`	Imputing Missing Events in Continuous-Time Event Streams. CoRR Hongyuan Mei, Guanghui Qin, Jason Eisner
2019	—	`conf`	Neural Finite-State Transducers: Beyond Rational Relations. NAACL-HLT (1) Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner
2019	J	`jnl`	On the Complexity and Typology of Inflectional Morphological Systems. Trans. Assoc. Comput. Linguistics Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner
2019	—	`conf`	Simple Construction of Mixed-Language Texts for Vocabulary Learning. BEA@ACL Adithya Renduchintala, Philipp Koehn, Jason Eisner
2019	—	`conf`	Specializing Word Embeddings (for Parsing) by Information Bottleneck. EMNLP/IJCNLP (1) Xiang Lisa Li, Jason Eisner
2019	J	`jnl`	Specializing Word Embeddings (for Parsing) by Information Bottleneck. CoRR Xiang Lisa Li, Jason Eisner
2019	A*	`conf`	Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model. AAAI S. J. Mielke, Jason Eisner
2019	—	`conf`	Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary. EMNLP/IJCNLP (1) Adithya Renduchintala, Philipp Koehn, Jason Eisner
2019	—	`conf`	What Kind of Language Is Hard to Language-Model? ACL (1) S. J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner
2019	J	`jnl`	What Kind of Language Is Hard to Language-Model? CoRR Sabrina J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner
2018	—	`conf`	A Deep Generative Model of Vowel Formant Typology. NAACL-HLT Ryan Cotterell, Jason Eisner
2018	J	`jnl`	A Deep Generative Model of Vowel Formant Typology. CoRR Ryan Cotterell, Jason Eisner
2018	—	`conf`	Are All Languages Equally Hard to Language-Model? NAACL-HLT (2) Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark
2018	J	`jnl`	Are All Languages Equally Hard to Language-Model? CoRR Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark
2018	—	`conf`	Neural Particle Smoothing for Sampling from Conditional Sequence Models. NAACL-HLT Chu-Cheng Lin, Jason Eisner
2018	J	`jnl`	Neural Particle Smoothing for Sampling from Conditional Sequence Models. CoRR Chu-Cheng Lin, Jason Eisner
2018	J	`jnl`	On the Complexity and Typology of Inflectional Morphological Systems. CoRR Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner
2018	J	`jnl`	On the Diachronic Stability of Irregularity in Inflectional Morphology. CoRR Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner
2018	J	`jnl`	Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model. CoRR S. J. Mielke, Jason Eisner
2018	J	`jnl`	Surface Statistics of an Unknown Language Indicate How to Parse It. Trans. Assoc. Comput. Linguistics Dingquan Wang, Jason Eisner
2018	A*	`conf`	Synthetic Data Made to Order: The Case of Parsing. EMNLP Dingquan Wang, Jason Eisner
2018	—	`conf`	The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. CoNLL Shared Task (1) 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
2018	J	`jnl`	The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. CoRR 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
2018	B	`conf`	UniMorph 2.0: Universal Morphology. LREC 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
2018	J	`jnl`	UniMorph 2.0: Universal Morphology. CoRR 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
2018	—	`conf`	Unsupervised Disambiguation of Syncretism in Inflected Lexicons. NAACL-HLT (2) Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner
2018	J	`jnl`	Unsupervised Disambiguation of Syncretism in Inflected Lexicons. CoRR Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner
2017	—	`conf`	Bayesian Modeling of Lexical Resources for Low-Resource Settings. ACL (1) Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner
2017	—	`conf`	CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages. CoNLL Shared Task (1) Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden
2017	J	`jnl`	CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages. CoRR Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden
2017	—	`conf`	Dyna: toward a self-optimizing declarative language for machine learning applications. MAPL@PLDI Tim Vieira, Matthew Francis-Landau, Nathaniel Wesley Filardo, Farzad Khorasani, Jason Eisner
2017	—	`conf`	Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. EACL (2) Ryan Cotterell, Adam Poliak, Benjamin Van Durme, Jason Eisner
2017	J	`jnl`	Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning. CoRR Dingquan Wang, Jason Eisner
2017	J	`jnl`	Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning. Trans. Assoc. Comput. Linguistics Dingquan Wang, Jason Eisner
2017	B	`conf`	Knowledge Tracing in Sequential Learning of Inflected Vocabulary. CoNLL Adithya Renduchintala, Philipp Koehn, Jason Eisner
2017	J	`jnl`	Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing. Trans. Assoc. Comput. Linguistics Tim Vieira, Jason Eisner
2017	—	`conf`	Probabilistic Typology: Deep Generative Models of Vowel Inventories. ACL (1) Ryan Cotterell, Jason Eisner
2017	J	`jnl`	Probabilistic Typology: Deep Generative Models of Vowel Inventories. CoRR Ryan Cotterell, Jason Eisner
2017	J	`jnl`	The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages. CoRR Dingquan Wang, Jason Eisner
2017	—	`conf`	The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. NIPS Hongyuan Mei, Jason Eisner
2016	B	`conf`	Analyzing Learner Understanding of Novel L2 Vocabulary. CoNLL Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, Jason Eisner
2016	—	`conf`	Creating Interactive Macaronic Interfaces for Language Learning. ACL (System Demonstrations) Adithya Renduchintala, Rebecca Knowles, Philipp Koehn, Jason Eisner
2016	—	`conf`	Fine-Grained Parallelism in Probabilistic Parsing with Habanero Java. IA3@SC Matthew Francis-Landau, Bing Xue, Jason Eisner, Vivek Sarkar
2016	—	`conf`	Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper). SPNLP@EMNLP Jason Eisner
2016	—	`conf`	Morphological Smoothing and Extrapolation of Word Embeddings. ACL (1) Ryan Cotterell, Hinrich Schütze, Jason Eisner
2016	A*	`conf`	Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity. EMNLP Tim Vieira, Ryan Cotterell, Jason Eisner
2016	J	`jnl`	The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages. Trans. Assoc. Comput. Linguistics Dingquan Wang, Jason Eisner
2016	J	`jnl`	The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. CoRR Hongyuan Mei, Jason Eisner
2016	—	`conf`	The SIGMORPHON 2016 Shared Task - Morphological Reinflection. SIGMORPHON Ryan Cotterell, Christo Kirov, John Sylak-Glassman, David Yarowsky, Jason Eisner, Mans Hulden
2016	—	`conf`	User Modeling in Language Learning with Macaronic Texts. ACL (1) Adithya Renduchintala, Rebecca Knowles, Philipp Koehn, Jason Eisner
2016	—	`conf`	Weighting Finite-State Transductions With Neural Context. HLT-NAACL Pushpendre Rastogi, Ryan Cotterell, Jason Eisner
2015	J	`jnl`	Approximation-Aware Dependency Parsing by Belief Propagation. CoRR Matthew R. Gormley, Mark Dredze, Jason Eisner
2015	J	`jnl`	Approximation-Aware Dependency Parsing by Belief Propagation. Trans. Assoc. Comput. Linguistics Matthew R. Gormley, Mark Dredze, Jason Eisner
2015	A*	`conf`	Dual Decomposition Inference for Graphical Models over Strings. EMNLP Nanyun Peng, Ryan Cotterell, Jason Eisner
2015	J	`jnl`	Modeling Word Forms Using Latent Underlying Morphs and Phonology. Trans. Assoc. Comput. Linguistics Ryan Cotterell, Nanyun Peng, Jason Eisner
2015	—	`conf`	Penalized Expectation Propagation for Graphical Models over Strings. HLT-NAACL Ryan Cotterell, Jason Eisner
2015	—	`conf`	Structured Belief Propagation for NLP. ACL (Tutorial Abstracts) Matthew R. Gormley, Jason Eisner
2014	—	`conf`	Learning to Search in Branch and Bound Algorithms. NIPS He He, Hal Daumé III, Jason Eisner
2014	—	`conf`	Robust Entity Clustering via Phylogenetic Inference. ACL (1) Nicholas Andrews, Jason Eisner, Mark Dredze
2014	—	`conf`	Stochastic Contextual Edit Distance and Probabilistic FSTs. ACL (2) Ryan Cotterell, Nanyun Peng, Jason Eisner
2014	—	`conf`	Structured Belief Propagation for NLP. ACL (Tutorial Abstracts) Matthew Gormley, Jason Eisner
2013	A*	`conf`	Dynamic Feature Selection for Dependency Parsing. EMNLP He He, Hal Daumé III, Jason Eisner
2013	J	`jnl`	Learning Multivariate Distributions by Competitive Assembly of Marginals. IEEE Trans. Pattern Anal. Mach. Intell. Francisco Sánchez-Vega, Jason Eisner, Laurent Younes, Donald Geman
2013	—	`conf`	Nonconvex Global Optimization for Latent-Variable Models. ACL (1) Matthew R. Gormley, Jason Eisner
2012	—	`conf`	A Flexible Solver for Finite Arithmetic Circuits. ICLP (Technical Communications) Nathaniel Wesley Filardo, Jason Eisner
2012	B	`conf`	Easy-first Coreference Resolution. COLING Veselin Stoyanov, Jason Eisner
2012	—	`conf`	Grammar Induction: Beyond Local Search. ICGI Jason Eisner
2012	—	`conf`	Imitation Learning by Coaching. NIPS He He, Hal Daumé III, Jason Eisner
2012	—	`conf`	Implicitly Intersecting Weighted Automata using Dual Decomposition. HLT-NAACL Michael J. Paul, Jason Eisner
2012	—	`conf`	Learned Prioritization for Trading Off Accuracy and Speed. NIPS Jiarong Jiang, Adam R. Teichert, Hal Daumé III, Jason Eisner
2012	—	`conf`	Minimum-Risk Training of Approximate CRF-Based NLP Systems. HLT-NAACL Veselin Stoyanov, Jason Eisner
2012	—	`conf`	Name Phylogeny: A Generative Model of String Variation. EMNLP-CoNLL Nicholas Andrews, Jason Eisner, Mark Dredze
2012	—	`conf`	Shared Components Topic Models. HLT-NAACL Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner
2012	—	`conf`	Unsupervised Learning on an Approximate Corpus. HLT-NAACL Jason Smith, Jason Eisner
2011	—	`conf`	A non-parametric Bayesian approach to inflectional morphology. MLSLP Jason Eisner, Markus Dreyer
2011	A*	`conf`	Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model. EMNLP Markus Dreyer, Jason Eisner
2011	A	`conf`	Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure. AISTATS Veselin Stoyanov, Alexander Ropson, Jason Eisner
2011	A*	`conf`	Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation. EMNLP Zhifei Li, Ziyuan Wang, Jason Eisner, Sanjeev Khudanpur, Brian Roark
2010	—	`conf`	Dyna: Extending Datalog for Modern AI. Datalog Jason Eisner, Nathaniel Wesley Filardo
2010	—	`ch.`	Favor Short Dependencies: Parsing with Soft and Hard Constraints on Dependency Length. Trends in Parsing Technology Jason Eisner, Noah A. Smith
2010	—	`conf`	Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets. COLING (Posters) Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason Eisner
2009	—	`conf`	Cross-Document Coreference Resolution: A Key Technology for Learning by Reading. AAAI Spring Symposium: Learning by Reading and Learning to Read James Mayfield, David Alexander, Bonnie J. Dorr, Jason Eisner, Tamer Elsayed, Tim Finin, Clayton Fink, Marjorie Freedman, Nikesh Garera, Paul McNamee, Saif M. Mohammad, Douglas W. Oard, Christine D. Piatko, Asad B. Sayeed, Zareen Syed, Ralph M. Weischedel, Tan Xu, David Yarowsky
2009	A*	`conf`	First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests. EMNLP Zhifei Li, Jason Eisner
2009	A*	`conf`	Graphical Models over Multiple Strings. EMNLP Markus Dreyer, Jason Eisner
2009	A*	`conf`	Learning Linear Ordering Problems for Better Translation. EMNLP Roy W. Tromble, Jason Eisner
2009	A*	`conf`	Parser Adaptation and Projection with Quasi-Synchronous Grammar Features. EMNLP David A. Smith, Jason Eisner
2009	—	`conf`	Variational Decoding for Statistical Machine Translation. ACL/IJCNLP Zhifei Li, Jason Eisner, Sanjeev Khudanpur
2008	A*	`conf`	Dependency Parsing by Belief Propagation. EMNLP David A. Smith, Jason Eisner
2008	A*	`conf`	Latent-Variable Modeling of String Transductions with Finite-State Methods. EMNLP Markus Dreyer, Jason Smith, Jason Eisner
2008	—	`conf`	Machine Translation System Combination using ITG-based Alignments. ACL (2) Damianos G. Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer
2008	A*	`conf`	Modeling Annotators: A Generative Approach to Learning from Annotator Rationales. EMNLP Omar Zaidan, Jason Eisner
2008	—	`ed.`	Proceedings of the Tenth Meeting of ACL Special Interest Group on Computational Morphology and Phonology, SIGMORPHON 2008, Columbus, Ohio, USA, June 19, 2008 SIGMORPHON Jason Eisner, Jeffrey Heinz
2007	—	`conf`	Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors. EMNLP-CoNLL David A. Smith, Jason Eisner
2007	—	`conf`	Cross-Instance Tuning of Unsupervised Document Clustering Algorithms. HLT-NAACL Damianos G. Karakos, Jason Eisner, Sanjeev Khudanpur, Carey E. Priebe
2007	—	`ed.`	EMNLP-CoNLL 2007, Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, June 28-30, 2007, Prague, Czech Republic EMNLP-CoNLL Jason Eisner
2007	—	`conf`	Iterative Denoising using Jensen-Renyi Divergences with an Application to Unsupervised Document Categorization. ICASSP (2) Damianos G. Karakos, Sanjeev Khudanpur, Jason Eisner, Carey E. Priebe
2007	—	`conf`	Using "Annotator Rationales" to Improve Machine Learning for Text Categorization. HLT-NAACL Omar Zaidan, Jason Eisner, Christine D. Piatko
2006	—	`conf`	A fast finite-state relaxation method for enforcing global constraints on sequence decoding. HLT-NAACL Roy W. Tromble, Jason Eisner
2006	A*	`conf`	A natural language approach to automated cryptanalysis of two-time pads. CCS Joshua Mason, Kathryn Watkins, Jason Eisner, Adam Stubblefield
2006	A*	`conf`	Annealing Structural Bias in Multilingual Weighted Grammar Induction. ACL Noah A. Smith, Jason Eisner
2006	A*	`conf`	Better Informed Training of Latent Syntactic Features. EMNLP Markus Dreyer, Jason Eisner
2006	A*	`conf`	Minimum Risk Annealing for Training Log-Linear Models. ACL David A. Smith, Jason Eisner
2006	—	`conf`	Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies. WMT@HLT-NAACL David A. Smith, Jason Eisner
2005	C	`conf`	A Class of Rational CIAA André Kempe, Jean-Marc Champarnaud, Jason Eisner, Franck Guingne, Florent Nicart
2005	—	`conf`	Bootstrapping Without the Boot. HLT/EMNLP Jason Eisner, Damianos G. Karakos
2005	—	`conf`	Compiling Comp Ling: Weighted Dynamic Programming and the Dyna Language. HLT/EMNLP Jason Eisner, Eric Goldlust, Noah A. Smith
2005	A*	`conf`	Contrastive Estimation: Training Log-Linear Models on Unlabeled Data. ACL Noah A. Smith, Jason Eisner
2005	—	`conf`	Parsing with Soft and Hard Constraints on Dependency Length. IWPT Jason Eisner, Noah A. Smith
2005	—	`conf`	Unsupervised classification via decision trees: an information-theoretic perspective. ICASSP (5) Damianos G. Karakos, Sanjeev Khudanpur, Jason Eisner, Carey E. Priebe
2004	A*	`conf`	Annealing Techniques For Unsupervised Statistical Language Learning. ACL Noah A. Smith, Jason Eisner
2004	—	`conf`	Dyna: A Language for Weighted Dynamic Programming. ACL (Poster and Demonstration) Jason Eisner, Eric Goldlust, Noah A. Smith
2003	—	`conf`	Learning Non-Isomorphic Tree Mappings for Machine Translation. ACL (Companion) Jason Eisner
2003	—	`conf`	Simpler and More General Minimization for Weighted Finite-State Automata. HLT-NAACL Jason Eisner
2002	J	`jnl`	Discovering syntactic deep structure via Bayesian statistics. Cogn. Sci. Jason Eisner
2002	J	`jnl`	Introduction to the special section on linguistically apt statistical methods. Cogn. Sci. Jason Eisner
2002	A*	`conf`	Parameter Estimation for Probabilistic Finite-State Transducers. ACL Jason Eisner
2002	A*	`conf`	Phonological Comprehension and the Compilation of Optimality Theory. ACL Jason Eisner
2002	A*	`conf`	Transformational Priors Over Grammars. EMNLP Jason Eisner
2001	J	`jnl`	Easy and Hard Constraint Ranking in OT: Algorithms and Complexity CoRR Jason Eisner
2001	J	`jnl`	Finite-State Phonology: Proceedings of the 5th Workshop of the ACL Special Interest Group in Computational Phonology (SIGPHON) CoRR Jason Eisner, Lauri Karttunen, Alain Theriault
2000	—	`conf`	A faster parsing algorithm for Lexicalized Tree-Adjoining Grammars. TAG+ Jason Eisner, Giorgio Satta
2000	B	`conf`	Directional Constraint Evaluation in Optimality Theory. COLING Jason Eisner
1999	A*	`conf`	Efficient Parsing for Bilexical Context-Free Grammars and Head Automaton Grammars. ACL Jason Eisner, Giorgio Satta
1997	J	`jnl`	An Empirical Comparison of Probability Models for Dependency Grammar CoRR Jason Eisner
1997	—	`conf`	Bilexical Grammars and a Cubic-time Probabilistic Parser. IWPT Jason Eisner
1997	A*	`conf`	Efficient Generation in Primitive Optimality Theory. ACL Jason Eisner
1997	J	`jnl`	Three New Probabilistic Models for Dependency Parsing: An Exploration CoRR Jason Eisner
1996	J	`jnl`	Efficient Normal-Form Parsing for Combinatory Categorial Grammar CoRR Jason Eisner
1996	A*	`conf`	Efficient Normal-Form Parsing for Combinatory Categorial Grammar. ACL Jason Eisner
1996	B	`conf`	Three New Probabilistic Models for Dependency Parsing: An Exploration. COLING Jason Eisner
1995	Misc	`conf`	University of Pennsylvania: description of the University of Pennsylvania system used for MUC-6. MUC Breck Baldwin, Michael Collins, Jason Eisner, Adwait Ratnaparkhi, Joseph Rosenzweig, Anoop Sarkar
1992	A*	`conf`	A Probabilistic Parser Applied to Software Testing Documents. AAAI Mark A. Jones, Jason Eisner