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Jason Eisner

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affiliation: Johns Hopkins University, USA

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2020 – today

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2024
[j14]
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Jessy Lin, Nicholas Tomlin, Jacob Andreas, Jason Eisner:
Decision-Oriented Dialogue for Human-AI Collaboration. Trans. Assoc. Comput. Linguistics 12: 892-911 (2024)
[c127]
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Sky CH-Wang, Benjamin Van Durme, Jason Eisner, Chris Kedzie:
Do Androids Know They're Only Dreaming of Electric Sheep? ACL (Findings) 2024: 4401-4420
[c126]
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  - conf/acl/MoneaPJCEKPP024
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Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West:
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. ACL (1) 2024: 6828-6844
[c125]
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Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su:
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. ACL (1) 2024: 10583-10604
[c124]
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Li Du, Holden Lee, Jason Eisner, Ryan Cotterell:
When is a Language Process a Language Model? ACL (Findings) 2024: 11083-11094
[c123]
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  - conf/acl/HashemiERDK24
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Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie:
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. ACL (1) 2024: 13806-13834
[c122]
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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
[c121]
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  - conf/naacl/MogheXAEDJ24
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Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani:
Interpreting User Requests in the Context of Natural Language Standing Instructions. NAACL-HLT (Findings) 2024: 4043-4060
[i56]
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  - journals/corr/abs-2403-04746
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Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su:
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. CoRR abs/2403.04746 (2024)
[i55]
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  - journals/corr/abs-2406-14739
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Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme:
Learning to Retrieve Iteratively for In-Context Learning. CoRR abs/2406.14739 (2024)
2023
[j13]
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  - journals/tacl/Eisner23
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Jason Eisner:
Time-and-Space-Efficient Weighted Deduction. Trans. Assoc. Comput. Linguistics 11: 960-973 (2023)
[c120]
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  - conf/acl/OpedalZVCE23
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Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner:
Efficient Semiring-Weighted Earley Parsing. ACL (1) 2023: 3687-3713
[c119]
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  - conf/acl/Mireshghallah0H23
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Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin:
Privacy-Preserving Domain Adaptation of Semantic Parsers. ACL (1) 2023: 4950-4970
[c118]
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Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein:
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. ACL (Findings) 2023: 5682-5700
[c117]
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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
[c116]
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Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis:
Contrastive Decoding: Open-ended Text Generation as Optimization. ACL (1) 2023: 12286-12312
[c115]
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  - conf/acl/LiEPT23
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Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson:
Toward Interactive Dictation. ACL (1) 2023: 15319-15338
[c114]
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  - conf/eacl/PastiOPVEC23
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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
[c113]
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  - conf/emnlp/ZhongSKE23
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Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner:
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL. EMNLP 2023: 5126-5152
[c112]
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  - conf/interspeech/ChiLE0JA23
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Jie Chi, Brian Lu, Jason Eisner, Peter Bell, Preethi Jyothi, Ahmed M. Ali:
Unsupervised Code-switched Text Generation from Parallel Text. INTERSPEECH 2023: 1419-1423
[c111]
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  - conf/nips/RoyTCSPED23
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Subhro Roy, Samuel Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme:
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing. NeurIPS 2023
[i54]
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  - journals/corr/abs-2301-06862
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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)
[i53]
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  - journals/corr/abs-2305-12272
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Li Du, Hongyuan Mei, Jason Eisner:
Autoregressive Modeling with Lookahead Attention. CoRR abs/2305.12272 (2023)
[i52]
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  - journals/corr/abs-2305-20076
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Jessy Lin, Nicholas Tomlin, Jacob Andreas, Jason Eisner:
Decision-Oriented Dialogue for Human-AI Collaboration. CoRR abs/2305.20076 (2023)
[i51]
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  - journals/corr/abs-2307-02982
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Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner:
Efficient Semiring-Weighted Earley Parsing. CoRR abs/2307.02982 (2023)
[i50]
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  - journals/corr/abs-2307-04008
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Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson:
Toward Interactive Dictation. CoRR abs/2307.04008 (2023)
[i49]
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  - journals/corr/abs-2309-13075
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Kumar Shridhar, Harsh Jhamtani, Hao Fang, Benjamin Van Durme, Jason Eisner, Patrick Xia:
SCREWS: A Modular Framework for Reasoning with Revisions. CoRR abs/2309.13075 (2023)
[i48]
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  - journals/corr/abs-2311-09796
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Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani:
Interpreting User Requests in the Context of Natural Language Standing Instructions. CoRR abs/2311.09796 (2023)
[i47]
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  - journals/corr/abs-2312-02073
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Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West:
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. CoRR abs/2312.02073 (2023)
[i46]
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  - journals/corr/abs-2312-13614
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Weiting Tan, Chu-Cheng Lin, Jason Eisner:
Structure-Aware Path Inference for Neural Finite State Transducers. CoRR abs/2312.13614 (2023)
[i45]
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  - journals/corr/abs-2312-17249
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Sky CH-Wang, Benjamin Van Durme, Jason Eisner, Chris Kedzie:
Do Androids Know They're Only Dreaming of Electric Sheep? CoRR abs/2312.17249 (2023)
[i44]
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  - journals/corr/abs-2312-17710
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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
[c110]
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  - conf/acl/ZhouENPT22
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Jiawei Zhou, Jason Eisner, Michael Newman, Emmanouil Antonios Platanios, Sam Thomson:
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue. ACL (1) 2022: 1554-1576
[c109]
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  - conf/emnlp/SveteDCVE22
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Anej Svete, Benjamin Dayan, Ryan Cotterell, Tim Vieira, Jason Eisner:
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. EMNLP 2022: 8289-8305
[c108]
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  - conf/emnlp/Stengel-EskinPP22
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Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su:
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. EMNLP 2022: 11473-11487
[c107]
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Hongyuan Mei, Chenghao Yang, Jason Eisner:
Transformer Embeddings of Irregularly Spaced Events and Their Participants. ICLR 2022
[i43]
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  - journals/corr/abs-2201-00044
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Chenghao Yang, Hongyuan Mei, Jason Eisner:
Transformer Embeddings of Irregularly Spaced Events and Their Participants. CoRR abs/2201.00044 (2022)
[i42]
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  - journals/corr/abs-2205-12228
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Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su:
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. CoRR abs/2205.12228 (2022)
[i41]
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  - journals/corr/abs-2205-12422
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Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner:
Active Programming by Example with a Natural Language Prior. CoRR abs/2205.12422 (2022)
[i40]
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  - journals/corr/abs-2206-10668
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Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme:
BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing. CoRR abs/2206.10668 (2022)
[i39]
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  - journals/corr/abs-2209-06809
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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)
[i38]
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  - journals/corr/abs-2209-07800
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Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein:
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. CoRR abs/2209.07800 (2022)
[i37]
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  - journals/corr/abs-2210-15097
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Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis:
Contrastive Decoding: Open-ended Text Generation as Optimization. CoRR abs/2210.15097 (2022)
[i36]
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  - journals/corr/abs-2212-10502
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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)
[i35]
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  - journals/corr/abs-2212-10520
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Fatemehsadat Mireshghallah, Richard Shin, Yu Su, Tatsunori Hashimoto, Jason Eisner:
Privacy-Preserving Domain Adaptation of Semantic Parsers. CoRR abs/2212.10520 (2022)
2021
[c106]
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  - conf/emnlp/VieiraCE21
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Tim Vieira, Ryan Cotterell, Jason Eisner:
Searching for More Efficient Dynamic Programs. EMNLP (Findings) 2021: 3812-3830
[c105]
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  - conf/emnlp/ShinLTCRPPKED21
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Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme:
Constrained Language Models Yield Few-Shot Semantic Parsers. EMNLP (1) 2021: 7699-7715
[c104]
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  - conf/naacl/LinJLGE21
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Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner:
Limitations of Autoregressive Models and Their Alternatives. NAACL-HLT 2021: 5147-5173
[c103]
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  - conf/naacl/QinE21
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Guanghui Qin, Jason Eisner:
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts. NAACL-HLT 2021: 5203-5212
[i34]
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  - journals/corr/abs-2104-06599
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Guanghui Qin, Jason Eisner:
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts. CoRR abs/2104.06599 (2021)
[i33]
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  - journals/corr/abs-2104-08768
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  - https://dblp.org/rec/journals/corr/abs-2104-08768
Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme:
Constrained Language Models Yield Few-Shot Semantic Parsers. CoRR abs/2104.08768 (2021)
[i32]
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  - journals/corr/abs-2109-06966
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Tim Vieira, Ryan Cotterell, Jason Eisner:
Searching for More Efficient Dynamic Programs. CoRR abs/2109.06966 (2021)
2020
[j12]
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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:
Task-Oriented Dialogue as Dataflow Synthesis. Trans. Assoc. Comput. Linguistics 8: 556-571 (2020)
[c102]
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  - conf/acl/SaleskyCPWCBE20
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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
[c101]
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Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner:
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. ICML 2020: 6808-6819
[c100]
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  - conf/ijcai/LiE20
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Xiang Lisa Li, Jason Eisner:
Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract). IJCAI 2020: 4745-4749
[c99]
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Hongyuan Mei, Tom Wan, Jason Eisner:
Noise-Contrastive Estimation for Multivariate Point Processes. NeurIPS 2020
[i31]
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  - journals/corr/abs-2005-13962
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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)
[i30]
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  - journals/corr/abs-2006-16723
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Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner:
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification. CoRR abs/2006.16723 (2020)
[i29]
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  - journals/corr/abs-2009-11423
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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:
Task-Oriented Dialogue as Dataflow Synthesis. CoRR abs/2009.11423 (2020)
[i28]
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  - journals/corr/abs-2010-10503
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Matthew Francis-Landau, Tim Vieira, Jason Eisner:
Evaluation of Logic Programs with Built-Ins and Aggregation: A Calculus for Bag Relations. CoRR abs/2010.10503 (2020)
[i27]
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  - journals/corr/abs-2010-11939
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Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner:
Autoregressive Modeling is Misspecified for Some Sequence Distributions. CoRR abs/2010.11939 (2020)
[i26]
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  - journals/corr/abs-2011-00717
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Hongyuan Mei, Tom Wan, Jason Eisner:
Noise-Contrastive Estimation for Multivariate Point Processes. CoRR abs/2011.00717 (2020)

2010 – 2019

see FAQ

What is the meaning of the colors in the publication lists?

2019
[j11]
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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)
[j10]
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Xiang Lisa Li, Dingquan Wang, Jason Eisner:
A Generative Model for Punctuation in Dependency Trees. Trans. Assoc. Comput. Linguistics 7: 357-373 (2019)
[c98]
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  - conf/aaai/MielkeE19
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S. J. Mielke, Jason Eisner:
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model. AAAI 2019: 6843-6850
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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
[c96]
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  - conf/bea/RenduchintalaKE19
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Adithya Renduchintala, Philipp Koehn, Jason Eisner:
Simple Construction of Mixed-Language Texts for Vocabulary Learning. BEA@ACL 2019: 369-379
[c95]
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Xiang Lisa Li, Jason Eisner:
Specializing Word Embeddings (for Parsing) by Information Bottleneck. EMNLP/IJCNLP (1) 2019: 2744-2754
[c94]
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Adithya Renduchintala, Philipp Koehn, Jason Eisner:
Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary. EMNLP/IJCNLP (1) 2019: 6437-6442
[c93]
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Hongyuan Mei, Guanghui Qin, Jason Eisner:
Imputing Missing Events in Continuous-Time Event Streams. ICML 2019: 4475-4485
[c92]
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Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner:
Neural Finite-State Transducers: Beyond Rational Relations. NAACL-HLT (1) 2019: 272-283
[c91]
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  - conf/naacl/VylomovaCCBE19
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Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin, Jason Eisner:
Contextualization of Morphological Inflection. NAACL-HLT (1) 2019: 2018-2024
[i25]
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  - journals/corr/abs-1905-01420
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Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner:
Contextualization of Morphological Inflection. CoRR abs/1905.01420 (2019)
[i24]
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  - journals/corr/abs-1905-05570
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Hongyuan Mei, Guanghui Qin, Jason Eisner:
Imputing Missing Events in Continuous-Time Event Streams. CoRR abs/1905.05570 (2019)
[i23]
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  - journals/corr/abs-1906-04726
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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)
[i22]
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  - journals/corr/abs-1906-11298
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Xiang Lisa Li, Dingquan Wang, Jason Eisner:
A Generative Model for Punctuation in Dependency Trees. CoRR abs/1906.11298 (2019)
[i21]
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  - journals/corr/abs-1910-00163
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Xiang Lisa Li, Jason Eisner:
Specializing Word Embeddings (for Parsing) by Information Bottleneck. CoRR abs/1910.00163 (2019)
2018
[j9]
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Dingquan Wang, Jason Eisner:
Surface Statistics of an Unknown Language Indicate How to Parse It. Trans. Assoc. Comput. Linguistics 6: 667-685 (2018)
[c90]
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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
[c89]
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Dingquan Wang, Jason Eisner:
Synthetic Data Made to Order: The Case of Parsing. EMNLP 2018: 1325-1337
[c88]
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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
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Ryan Cotterell, Jason Eisner:
A Deep Generative Model of Vowel Formant Typology. NAACL-HLT 2018: 37-46
[c86]
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Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark:
Are All Languages Equally Hard to Language-Model? NAACL-HLT (2) 2018: 536-541
[c85]
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Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner:
Unsupervised Disambiguation of Syncretism in Inflected Lexicons. NAACL-HLT (2) 2018: 548-553
[c84]
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Chu-Cheng Lin, Jason Eisner:
Neural Particle Smoothing for Sampling from Conditional Sequence Models. NAACL-HLT 2018: 929-941
[i20]
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  - journals/corr/abs-1804-08205
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S. J. Mielke, Jason Eisner:
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model. CoRR abs/1804.08205 (2018)
[i19]
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Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner:
On the Diachronic Stability of Irregularity in Inflectional Morphology. CoRR abs/1804.08262 (2018)
[i18]
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Chu-Cheng Lin, Jason Eisner:
Neural Particle Smoothing for Sampling from Conditional Sequence Models. CoRR abs/1804.10747 (2018)
[i17]
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Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner:
Unsupervised Disambiguation of Syncretism in Inflected Lexicons. CoRR abs/1806.03740 (2018)
[i16]
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  - journals/corr/abs-1806-03743
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Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark:
Are All Languages Equally Hard to Language-Model? CoRR abs/1806.03743 (2018)
[i15]
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  - journals/corr/abs-1807-02745
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Ryan Cotterell, Jason Eisner:
A Deep Generative Model of Vowel Formant Typology. CoRR abs/1807.02745 (2018)
[i14]
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Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner:
On the Complexity and Typology of Inflectional Morphological Systems. CoRR abs/1807.02747 (2018)
[i13]
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  - journals/corr/abs-1810-07125
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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)
[i12]
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  - journals/corr/abs-1810-11101
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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
[j8]
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Dingquan Wang, Jason Eisner:
Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning. Trans. Assoc. Comput. Linguistics 5: 147-161 (2017)
[j7]
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Tim Vieira, Jason Eisner:
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing. Trans. Assoc. Comput. Linguistics 5: 263-278 (2017)
[c83]
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Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner:
Bayesian Modeling of Lexical Resources for Low-Resource Settings. ACL (1) 2017: 1029-1039
[c82]
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Ryan Cotterell, Jason Eisner:
Probabilistic Typology: Deep Generative Models of Vowel Inventories. ACL (1) 2017: 1182-1192
[c81]
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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
[c80]
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Adithya Renduchintala, Philipp Koehn, Jason Eisner:
Knowledge Tracing in Sequential Learning of Inflected Vocabulary. CoNLL 2017: 238-247
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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
[c78]
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Hongyuan Mei, Jason Eisner:
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. NIPS 2017: 6754-6764
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Tim Vieira, Matthew Francis-Landau, Nathaniel Wesley Filardo, Farzad Khorasani, Jason Eisner:
Dyna: toward a self-optimizing declarative language for machine learning applications. MAPL@PLDI 2017: 8-17
[i11]
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Ryan Cotterell, Jason Eisner:
Probabilistic Typology: Deep Generative Models of Vowel Inventories. CoRR abs/1705.01684 (2017)
[i10]
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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)
[i9]
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Dingquan Wang, Jason Eisner:
The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages. CoRR abs/1710.03838 (2017)
[i8]
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Dingquan Wang, Jason Eisner:
Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning. CoRR abs/1710.03877 (2017)
2016
[j6]
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Dingquan Wang, Jason Eisner:
The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages. Trans. Assoc. Comput. Linguistics 4: 491-505 (2016)
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Ryan Cotterell, Hinrich Schütze, Jason Eisner:
Morphological Smoothing and Extrapolation of Word Embeddings. ACL (1) 2016
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Adithya Renduchintala, Rebecca Knowles, Philipp Koehn, Jason Eisner:
User Modeling in Language Learning with Macaronic Texts. ACL (1) 2016
[c74]
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Adithya Renduchintala, Rebecca Knowles, Philipp Koehn, Jason Eisner:
Creating Interactive Macaronic Interfaces for Language Learning. ACL (System Demonstrations) 2016: 133-138
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Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, Jason Eisner:
Analyzing Learner Understanding of Novel L2 Vocabulary. CoNLL 2016: 126-135
[c72]
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Jason Eisner:
Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper). SPNLP@EMNLP 2016: 1-17
[c71]
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Tim Vieira, Ryan Cotterell, Jason Eisner:
Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity. EMNLP 2016: 1973-1978
[c70]
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Pushpendre Rastogi, Ryan Cotterell, Jason Eisner:
Weighting Finite-State Transductions With Neural Context. HLT-NAACL 2016: 623-633
[c69]
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Matthew Francis-Landau, Bing Xue, Jason Eisner, Vivek Sarkar:
Fine-Grained Parallelism in Probabilistic Parsing with Habanero Java. IA3@SC 2016: 78-81
[c68]
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Ryan Cotterell, Christo Kirov, John Sylak-Glassman, David Yarowsky, Jason Eisner, Mans Hulden:
The SIGMORPHON 2016 Shared Task - Morphological Reinflection. SIGMORPHON 2016: 10-22
[i7]
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Hongyuan Mei, Jason Eisner:
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process. CoRR abs/1612.09328 (2016)
2015
[j5]
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Ryan Cotterell, Nanyun Peng, Jason Eisner:
Modeling Word Forms Using Latent Underlying Morphs and Phonology. Trans. Assoc. Comput. Linguistics 3: 433-447 (2015)
[j4]
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Matthew R. Gormley, Mark Dredze, Jason Eisner:
Approximation-Aware Dependency Parsing by Belief Propagation. Trans. Assoc. Comput. Linguistics 3: 489-501 (2015)
[c67]
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Matthew R. Gormley, Jason Eisner:
Structured Belief Propagation for NLP. ACL (Tutorial Abstracts) 2015: 5-6
[c66]
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Nanyun Peng, Ryan Cotterell, Jason Eisner:
Dual Decomposition Inference for Graphical Models over Strings. EMNLP 2015: 917-927
[c65]
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Ryan Cotterell, Jason Eisner:
Penalized Expectation Propagation for Graphical Models over Strings. HLT-NAACL 2015: 932-942
[i6]
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Matthew R. Gormley, Mark Dredze, Jason Eisner:
Approximation-Aware Dependency Parsing by Belief Propagation. CoRR abs/1508.02375 (2015)
2014
[c64]
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Matthew R. Gormley, Jason Eisner:
Structured Belief Propagation for NLP. ACL (Tutorial Abstracts) 2014: 9-10
[c63]
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Ryan Cotterell, Nanyun Peng, Jason Eisner:
Stochastic Contextual Edit Distance and Probabilistic FSTs. ACL (2) 2014: 625-630
[c62]
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Nicholas Andrews, Jason Eisner, Mark Dredze:
Robust Entity Clustering via Phylogenetic Inference. ACL (1) 2014: 775-785
[c61]
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He He, Hal Daumé III, Jason Eisner:
Learning to Search in Branch and Bound Algorithms. NIPS 2014: 3293-3301
2013
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Francisco Sánchez-Vega, Jason Eisner, Laurent Younes, Donald Geman:
Learning Multivariate Distributions by Competitive Assembly of Marginals. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 398-410 (2013)
[c60]
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Matthew R. Gormley, Jason Eisner:
Nonconvex Global Optimization for Latent-Variable Models. ACL (1) 2013: 444-454
[c59]
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He He, Hal Daumé III, Jason Eisner:
Dynamic Feature Selection for Dependency Parsing. EMNLP 2013: 1455-1464
2012
[c58]
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Veselin Stoyanov, Jason Eisner:
Easy-first Coreference Resolution. COLING 2012: 2519-2534
[c57]
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Nicholas Andrews, Jason Eisner, Mark Dredze:
Name Phylogeny: A Generative Model of String Variation. EMNLP-CoNLL 2012: 344-355
[c56]
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Nathaniel Wesley Filardo, Jason Eisner:
A Flexible Solver for Finite Arithmetic Circuits. ICLP (Technical Communications) 2012: 425-438
[c55]
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Veselin Stoyanov, Jason Eisner:
Minimum-Risk Training of Approximate CRF-Based NLP Systems. HLT-NAACL 2012: 120-130
[c54]
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Jason Smith, Jason Eisner:
Unsupervised Learning on an Approximate Corpus. HLT-NAACL 2012: 131-141
[c53]
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Michael J. Paul, Jason Eisner:
Implicitly Intersecting Weighted Automata using Dual Decomposition. HLT-NAACL 2012: 232-242
[c52]
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Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner:
Shared Components Topic Models. HLT-NAACL 2012: 783-792
[c51]
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Jiarong Jiang, Adam R. Teichert, Hal Daumé III, Jason Eisner:
Learned Prioritization for Trading Off Accuracy and Speed. NIPS 2012: 1340-1348
[c50]
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He He, Hal Daumé III, Jason Eisner:
Imitation Learning by Coaching. NIPS 2012: 3158-3166
[c49]
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Jason Eisner:
Grammar Induction: Beyond Local Search. ICGI 2012: 112-113
2011
[c48]
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Markus Dreyer, Jason Eisner:
Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model. EMNLP 2011: 616-627
[c47]
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Zhifei Li, Ziyuan Wang, Jason Eisner, Sanjeev Khudanpur, Brian Roark:
Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation. EMNLP 2011: 920-929
[c46]
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Jason Eisner, Markus Dreyer:
A non-parametric Bayesian approach to inflectional morphology. MLSLP 2011
[c45]
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Veselin Stoyanov, Alexander Ropson, Jason Eisner:
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure. AISTATS 2011: 725-733
2010
[c44]
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Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason Eisner:
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets. COLING (Posters) 2010: 656-664
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Jason Eisner, Nathaniel Wesley Filardo:
Dyna: Extending Datalog for Modern AI. Datalog 2010: 181-220
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Jason Eisner, Noah A. Smith:
Favor Short Dependencies: Parsing with Soft and Hard Constraints on Dependency Length. Trends in Parsing Technology 2010: 121-150

2000 – 2009

see FAQ

What is the meaning of the colors in the publication lists?

2009
[c42]
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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:
Cross-Document Coreference Resolution: A Key Technology for Learning by Reading. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 65-70
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Zhifei Li, Jason Eisner, Sanjeev Khudanpur:
Variational Decoding for Statistical Machine Translation. ACL/IJCNLP 2009: 593-601
[c40]
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Zhifei Li, Jason Eisner:
First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests. EMNLP 2009: 40-51
[c39]
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Markus Dreyer, Jason Eisner:
Graphical Models over Multiple Strings. EMNLP 2009: 101-110
[c38]
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David A. Smith, Jason Eisner:
Parser Adaptation and Projection with Quasi-Synchronous Grammar Features. EMNLP 2009: 822-831
[c37]
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Roy W. Tromble, Jason Eisner:
Learning Linear Ordering Problems for Better Translation. EMNLP 2009: 1007-1016
2008
[c36]
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Damianos G. Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer:
Machine Translation System Combination using ITG-based Alignments. ACL (2) 2008: 81-84
[c35]
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Omar Zaidan, Jason Eisner:
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales. EMNLP 2008: 31-40
[c34]
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David A. Smith, Jason Eisner:
Dependency Parsing by Belief Propagation. EMNLP 2008: 145-156
[c33]
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Markus Dreyer, Jason Smith, Jason Eisner:
Latent-Variable Modeling of String Transductions with Finite-State Methods. EMNLP 2008: 1080-1089
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Jason Eisner, Jeffrey Heinz:
Proceedings of the Tenth Meeting of ACL Special Interest Group on Computational Morphology and Phonology, SIGMORPHON 2008, Columbus, Ohio, USA, June 19, 2008. Association for Computational Linguistics 2008, ISBN 978-1-932432-12-1 [contents]
2007
[c32]
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David A. Smith, Jason Eisner:
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors. EMNLP-CoNLL 2007: 667-677
[c31]
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Damianos G. Karakos, Sanjeev Khudanpur, Jason Eisner, Carey E. Priebe:
Iterative Denoising using Jensen-Renyi Divergences with an Application to Unsupervised Document Categorization. ICASSP (2) 2007: 509-512
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Damianos G. Karakos, Jason Eisner, Sanjeev Khudanpur, Carey E. Priebe:
Cross-Instance Tuning of Unsupervised Document Clustering Algorithms. HLT-NAACL 2007: 252-259
[c29]
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Omar Zaidan, Jason Eisner, Christine D. Piatko:
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization. HLT-NAACL 2007: 260-267
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Jason Eisner:
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. ACL 2007 [contents]
2006
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Noah A. Smith, Jason Eisner:
Annealing Structural Bias in Multilingual Weighted Grammar Induction. ACL 2006
[c27]
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David A. Smith, Jason Eisner:
Minimum Risk Annealing for Training Log-Linear Models. ACL 2006
[c26]
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Joshua Mason, Kathryn Watkins, Jason Eisner, Adam Stubblefield:
A natural language approach to automated cryptanalysis of two-time pads. CCS 2006: 235-244
[c25]
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Markus Dreyer, Jason Eisner:
Better Informed Training of Latent Syntactic Features. EMNLP 2006: 317-326
[c24]
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Roy W. Tromble, Jason Eisner:
A fast finite-state relaxation method for enforcing global constraints on sequence decoding. HLT-NAACL 2006
[c23]
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David A. Smith, Jason Eisner:
Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies. WMT@HLT-NAACL 2006: 23-30
2005
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Noah A. Smith, Jason Eisner:
Contrastive Estimation: Training Log-Linear Models on Unlabeled Data. ACL 2005: 354-362
[c21]
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Damianos G. Karakos, Sanjeev Khudanpur, Jason Eisner, Carey E. Priebe:
Unsupervised classification via decision trees: an information-theoretic perspective. ICASSP (5) 2005: 1081-1084
[c20]
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Jason Eisner, Noah A. Smith:
Parsing with Soft and Hard Constraints on Dependency Length. IWPT 2005: 30-41
[c19]
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Jason Eisner, Eric Goldlust, Noah A. Smith:
Compiling Comp Ling: Weighted Dynamic Programming and the Dyna Language. HLT/EMNLP 2005: 281-290
[c18]
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Jason Eisner, Damianos G. Karakos:
Bootstrapping Without the Boot. HLT/EMNLP 2005: 395-402
[c17]
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André Kempe, Jean-Marc Champarnaud, Jason Eisner, Franck Guingne, Florent Nicart:
A Class of Rational n-WFSM Auto-intersections. CIAA 2005: 188-198
2004
[c16]
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Jason Eisner, Eric Goldlust, Noah A. Smith:
Dyna: A Language for Weighted Dynamic Programming. ACL (Poster and Demonstration) 2004
[c15]
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Noah A. Smith, Jason Eisner:
Annealing Techniques For Unsupervised Statistical Language Learning. ACL 2004: 486-493
2003
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Jason Eisner:
Learning Non-Isomorphic Tree Mappings for Machine Translation. ACL (Companion) 2003: 205-208
[c13]
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Jason Eisner:
Simpler and More General Minimization for Weighted Finite-State Automata. HLT-NAACL 2003
2002
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Jason Eisner:
Introduction to the special section on linguistically apt statistical methods. Cogn. Sci. 26(3): 235-237 (2002)
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Jason Eisner:
Discovering syntactic deep structure via Bayesian statistics. Cogn. Sci. 26(3): 255-268 (2002)
[c12]
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Jason Eisner:
Parameter Estimation for Probabilistic Finite-State Transducers. ACL 2002: 1-8
[c11]
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Jason Eisner:
Phonological Comprehension and the Compilation of Optimality Theory. ACL 2002: 56-63
[c10]
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Jason Eisner:
Transformational Priors Over Grammars. EMNLP 2002: 63-70
2001
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Jason Eisner:
Easy and Hard Constraint Ranking in OT: Algorithms and Complexity. CoRR cs.CL/0102019 (2001)
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Jason Eisner, Lauri Karttunen, Alain Theriault:
Finite-State Phonology: Proceedings of the 5th Workshop of the ACL Special Interest Group in Computational Phonology (SIGPHON). CoRR cs.CL/0102022 (2001)
2000
[c9]
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Jason Eisner:
Directional Constraint Evaluation in Optimality Theory. COLING 2000: 257-263
[c8]
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Jason Eisner, Giorgio Satta:
A faster parsing algorithm for Lexicalized Tree-Adjoining Grammars. TAG+ 2000: 79-84

1990 – 1999

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1999
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Jason Eisner, Giorgio Satta:
Efficient Parsing for Bilexical Context-Free Grammars and Head Automaton Grammars. ACL 1999: 457-464
1997
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Jason Eisner:
Efficient Generation in Primitive Optimality Theory. ACL 1997: 313-320
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Jason Eisner:
Bilexical Grammars and a Cubic-time Probabilistic Parser. IWPT 1997: 54-65
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Jason Eisner:
Three New Probabilistic Models for Dependency Parsing: An Exploration. CoRR cmp-lg/9706003 (1997)
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Jason Eisner:
An Empirical Comparison of Probability Models for Dependency Grammar. CoRR cmp-lg/9706004 (1997)
1996
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Jason Eisner:
Efficient Normal-Form Parsing for Combinatory Categorial Grammar. ACL 1996: 79-86
[c3]
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Jason Eisner:
Three New Probabilistic Models for Dependency Parsing: An Exploration. COLING 1996: 340-345
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Jason Eisner:
Efficient Normal-Form Parsing for Combinatory Categorial Grammar. CoRR cmp-lg/9605038 (1996)
1995
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Breck Baldwin, Michael Collins, Jason Eisner, Adwait Ratnaparkhi, Joseph Rosenzweig, Anoop Sarkar:
University of Pennsylvania: description of the University of Pennsylvania system used for MUC-6. MUC 1995: 177-191
1992
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Mark A. Jones, Jason Eisner:
A Probabilistic Parser Applied to Software Testing Documents. AAAI 1992: 322-328

Coauthor Index

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