Dan Klein - RankMe

319 papers A* 80A 2B 5Journal 102Unranked 129

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enough Coin Flips Can Make LLMs Act Bayesian. ACL (1) Ritwik Gupta, Rodolfo Corona, Jiaxin Ge, Eric Wang, Dan Klein, Trevor Darrell, David M. Chan
2025	J	`jnl`	Enough Coin Flips Can Make LLMs Act Bayesian. CoRR Ritwik Gupta, Rodolfo Corona, Jiaxin Ge, Eric Wang, Dan Klein, Trevor Darrell, David M. Chan
2025	J	`jnl`	LangProBe: a Language Programs Benchmark. CoRR Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Dan Klein, Omar Khattab, Koushik Sen, Matei Zaharia
2025	A*	`conf`	Pose Priors from Language Models. CVPR Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell
2025	—	`conf`	ThoughtSculpt: Reasoning with Intermediate Revision and Search. NAACL (Findings) Yizhou Chi, Kevin Yang, Dan Klein
2025	J	`jnl`	Why Do Multi-Agent LLM Systems Fail? CoRR Mert Cemri, Melissa Z. Pan, Shuyi Yang, Lakshya A. Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya G. Parameswaran, Dan Klein, Kannan Ramchandran, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica
2024	—	`conf`	American Sign Language Handshapes Reflect Pressures for Communicative Efficiency. ACL (1) Kayo Yin, Terry Regier, Dan Klein
2024	J	`jnl`	American Sign Language Handshapes Reflect Pressures for Communicative Efficiency. CoRR Kayo Yin, Terry Regier, Dan Klein
2024	J	`jnl`	CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval. CoRR Yizhou Chi, Jessy Lin, Kevin Lin, Dan Klein
2024	J	`jnl`	Efficacy of Language Model Self-Play in Non-Zero-Sum Games. CoRR Austen Liao, Nicholas Tomlin, Dan Klein
2024	A*	`conf`	Explaining Datasets in Words: Statistical Models with Natural Language Parameters. NeurIPS Ruiqi Zhong, Heng Wang, Dan Klein, Jacob Steinhardt
2024	J	`jnl`	Explaining Datasets in Words: Statistical Models with Natural Language Parameters. CoRR Ruiqi Zhong, Heng Wang, Dan Klein, Jacob Steinhardt
2024	—	`conf`	Ghostbuster: Detecting Text Ghostwritten by Large Language Models. NAACL-HLT Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein
2024	A*	`conf`	Learning to Model the World With Language. ICML Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan
2024	A*	`conf`	Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination. EMNLP Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein
2024	J	`jnl`	Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination. CoRR Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein
2024	J	`jnl`	Pose Priors from Language Models. CoRR Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell
2024	J	`jnl`	Predicting Emergent Capabilities by Finetuning. CoRR Charlie Snell, Eric Wallace, Dan Klein, Sergey Levine
2024	A*	`conf`	RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment. ICLR Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian
2024	—	`conf`	Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction. NAACL-HLT (Findings) Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein
2024	J	`jnl`	THOUGHTSCULPT: Reasoning with Intermediate Revision and Search. CoRR Yizhou Chi, Kevin Yang, Dan Klein
2024	—	`conf`	The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. NAACL-HLT Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat
2024	J	`jnl`	The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. CoRR Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat
2024	—	`conf`	What Evidence Do Language Models Find Convincing? ACL (1) Alexander Wan, Eric Wallace, Dan Klein
2024	J	`jnl`	What Evidence Do Language Models Find Convincing? CoRR Alexander Wan, Eric Wallace, Dan Klein
2024	—	`conf`	Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding. NAACL-HLT Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason
2023	—	`conf`	Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. ACL (Findings) Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
2023	J	`jnl`	Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. CoRR Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
2023	A*	`conf`	Can Language Models Learn to Listen? ICCV Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar
2023	J	`jnl`	Can Language Models Learn to Listen? CoRR Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar
2023	A*	`conf`	Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. EMNLP Vyoma Raman, Eve Fleisig, Dan Klein
2023	J	`jnl`	Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. CoRR Vyoma Raman, Eve Fleisig, Dan Klein
2023	J	`jnl`	Comparative Multi-View Language Grounding. CoRR Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason
2023	—	`conf`	DOC: Improving Long Story Coherence With Detailed Outline Control. ACL (1) Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian
2023	—	`conf`	Decomposing Complex Queries for Tip-of-the-tongue Retrieval. EMNLP (Findings) Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein
2023	J	`jnl`	Decomposing Complex Queries for Tip-of-the-tongue Retrieval. CoRR Kevin Lin, Kyle Lo, Joseph E. Gonzalez, Dan Klein
2023	A*	`conf`	Discovering Latent Knowledge in Language Models Without Supervision. ICLR Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt
2023	J	`jnl`	Ghostbuster: Detecting Text Ghostwritten by Large Language Models. CoRR Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein
2023	A*	`conf`	Goal Driven Discovery of Distributional Differences via Language Descriptions. NeurIPS Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, Jacob Steinhardt
2023	J	`jnl`	Goal Driven Discovery of Distributional Differences via Language Descriptions. CoRR Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, Jacob Steinhardt
2023	—	`conf`	Improving Pacing in Long-Form Story Planning. EMNLP (Findings) Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein
2023	J	`jnl`	Improving Pacing in Long-Form Story Planning. CoRR Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein
2023	A*	`conf`	Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. EMNLP Olivia Huang, Eve Fleisig, Dan Klein
2023	J	`jnl`	Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. CoRR Olivia Huang, Eve Fleisig, Dan Klein
2023	J	`jnl`	Learning to Model the World with Language. CoRR Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan
2023	—	`conf`	Modular Visual Question Answering via Code Generation. ACL (2) Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein
2023	J	`jnl`	Modular Visual Question Answering via Code Generation. CoRR Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein
2023	—	`conf`	Neural Unsupervised Reconstruction of Protolanguage Word Forms. ACL (1) Andre He, Nicholas Tomlin, Dan Klein
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	—	`conf`	PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. ACL (Findings) Jonathan Pei, Kevin Yang, Dan Klein
2023	J	`jnl`	PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. CoRR Jonathan Pei, Kevin Yang, Dan Klein
2023	A*	`conf`	Poisoning Language Models During Instruction Tuning. ICML Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein
2023	J	`jnl`	Poisoning Language Models During Instruction Tuning. CoRR Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein
2023	J	`jnl`	RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment. CoRR Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian
2023	—	`conf`	Revisiting Entropy Rate Constancy in Text. EMNLP (Findings) Vivek Verma, Nicholas Tomlin, Dan Klein
2023	J	`jnl`	Revisiting Entropy Rate Constancy in Text. CoRR Vivek Verma, Nicholas Tomlin, Dan Klein
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	A*	`conf`	When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks. EMNLP Eve Fleisig, Rediet Abebe, Dan Klein
2023	J	`jnl`	When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks. CoRR Eve Fleisig, Rediet Abebe, Dan Klein
2022	J	`jnl`	Active Programming by Example with a Natural Language Prior. CoRR Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
2022	—	`conf`	Automated Crossword Solving. ACL (1) Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew L. Ginsberg, Dan Klein
2022	J	`jnl`	Automated Crossword Solving. CoRR Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew L. Ginsberg, Dan Klein
2022	J	`jnl`	DOC: Improving Long Story Coherence With Detailed Outline Control. CoRR Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian
2022	A*	`conf`	Describing Differences between Text Distributions with Natural Language. ICML Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt
2022	J	`jnl`	Discovering Latent Knowledge in Language Models Without Supervision. CoRR Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt
2022	J	`jnl`	Does unsupervised grammar induction need pixels? CoRR Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein
2022	—	`conf`	Inferring Rewards from Language in Context. ACL (1) Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan
2022	J	`jnl`	Inferring Rewards from Language in Context. CoRR Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan
2022	—	`conf`	Learned Incremental Representations for Parsing. ACL (1) Nikita Kitaev, Thomas Lu, Dan Klein
2022	J	`jnl`	Learning by Distilling Context. CoRR Charlie Snell, Dan Klein, Ruiqi Zhong
2022	J	`jnl`	Neural Unsupervised Reconstruction of Protolanguage Word Forms. CoRR Andre He, Nicholas Tomlin, Dan Klein
2022	A*	`conf`	Re3: Generating Longer Stories With Recursive Reprompting and Revision. EMNLP Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein
2022	J	`jnl`	Re3: Generating Longer Stories With Recursive Reprompting and Revision. CoRR Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein
2022	J	`jnl`	Summarizing Differences between Text Distributions with Natural Language. CoRR Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt
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	—	`conf`	Understanding Game-Playing Agents with Natural Language Annotations. ACL (2) Nicholas Tomlin, Andre He, Dan Klein
2022	J	`jnl`	Understanding Game-Playing Agents with Natural Language Annotations. CoRR Nicholas Tomlin, Andre He, Dan Klein
2022	—	`conf`	Voxel-informed Language Grounding. ACL (2) Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell
2022	J	`jnl`	Voxel-informed Language Grounding. CoRR Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell
2021	—	`conf`	Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections. EMNLP (Findings) Ruiqi Zhong, Kristy Lee, Zheng Zhang, Dan Klein
2021	—	`conf`	An Improved Model for Voicing Silent Speech. ACL/IJCNLP (2) David Gaddy, Dan Klein
2021	J	`jnl`	An Improved Model for Voicing Silent Speech. CoRR David Gaddy, Dan Klein
2021	J	`jnl`	Approximating How Single Head Attention Learns. CoRR Charlie Snell, Ruiqi Zhong, Dan Klein, Jacob Steinhardt
2021	—	`conf`	Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. ACL/IJCNLP (Findings) Ruiqi Zhong, Dhruba Ghosh, Dan Klein, Jacob Steinhardt
2021	J	`jnl`	Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. CoRR Ruiqi Zhong, Dhruba Ghosh, Dan Klein, Jacob Steinhardt
2021	J	`jnl`	Calibrate Before Use: Improving Few-Shot Performance of Language Models. CoRR Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh
2021	A*	`conf`	Calibrate Before Use: Improving Few-shot Performance of Language Models. ICML Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh
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`	Constructing Taxonomies from Pretrained Language Models. NAACL-HLT Catherine Chen, Kevin Lin, Dan Klein
2021	—	`conf`	Detoxifying Language Models Risks Marginalizing Minority Voices. NAACL-HLT Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein
2021	J	`jnl`	Detoxifying Language Models Risks Marginalizing Minority Voices. CoRR Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein
2021	—	`conf`	FUDGE: Controlled Text Generation With Future Discriminators. NAACL-HLT Kevin Yang, Dan Klein
2021	J	`jnl`	FUDGE: Controlled Text Generation With Future Discriminators. CoRR Kevin Yang, Dan Klein
2021	A*	`conf`	Learning Space Partitions for Path Planning. NeurIPS Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
2021	J	`jnl`	Learning Space Partitions for Path Planning. CoRR Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian
2021	J	`jnl`	Meta-tuning Language Models to Answer Prompts Better. CoRR Ruiqi Zhong, Kristy Lee, Zheng Zhang, Dan Klein
2021	—	`conf`	Modular Networks for Compositional Instruction Following. NAACL-HLT Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell
2021	—	`conf`	Reference-Centric Models for Grounded Collaborative Dialogue. EMNLP (1) Daniel Fried, Justin T. Chiu, Dan Klein
2021	J	`jnl`	Reference-Centric Models for Grounded Collaborative Dialogue. CoRR Daniel Fried, Justin T. Chiu, Dan Klein
2021	—	`conf`	Value-Agnostic Conversational Semantic Parsing. ACL/IJCNLP (1) Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo, Sam Thomson, Jayant Krishnamurthy, Jason Andrew Wolfe, Jacob Andreas, Dan Klein
2020	—	`conf`	A Streaming Approach For Efficient Batched Beam Search. EMNLP (1) Kevin Yang, Violet Yao, John DeNero, Dan Klein
2020	J	`jnl`	A Streaming Approach For Efficient Batched Beam Search. CoRR Kevin Yang, Violet Yao, John DeNero, Dan Klein
2020	—	`conf`	Digital Voicing of Silent Speech. EMNLP (1) David Gaddy, Dan Klein
2020	J	`jnl`	Digital Voicing of Silent Speech. CoRR David Gaddy, Dan Klein
2020	J	`jnl`	Inducing Taxonomic Knowledge from Pretrained Transformers. CoRR Catherine Chen, Kevin Lin, Dan Klein
2020	J	`jnl`	Modularity Improves Out-of-Domain Instruction Following. CoRR Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell
2020	A*	`conf`	Multilingual Alignment of Contextual Word Representations. ICLR Steven Cao, Nikita Kitaev, Dan Klein
2020	J	`jnl`	Multilingual Alignment of Contextual Word Representations. CoRR Steven Cao, Nikita Kitaev, Dan Klein
2020	—	`conf`	Semantic Evaluation for Text-to-SQL with Distilled Test Suites. EMNLP (1) Ruiqi Zhong, Tao Yu, Dan Klein
2020	J	`jnl`	Semantic Evaluation for Text-to-SQL with Distilled Test Suites. CoRR Ruiqi Zhong, Tao Yu, Dan Klein
2020	A*	`conf`	Semantic Scaffolds for Pseudocode-to-Code Generation. ACL Ruiqi Zhong, Mitchell Stern, Dan Klein
2020	J	`jnl`	Semantic Scaffolds for Pseudocode-to-Code Generation. CoRR Ruiqi Zhong, Mitchell Stern, Dan Klein
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
2020	A*	`conf`	Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference. ACL Nikita Kitaev, Dan Klein
2020	A*	`conf`	Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. ICML Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez
2020	J	`jnl`	Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. CoRR Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez
2020	—	`conf`	Unsupervised Parsing via Constituency Tests. EMNLP (1) Steven Cao, Nikita Kitaev, Dan Klein
2020	J	`jnl`	Unsupervised Parsing via Constituency Tests. CoRR Steven Cao, Nikita Kitaev, Dan Klein
2019	—	`conf`	A Deep Factorization of Style and Structure in Fonts. EMNLP/IJCNLP (1) Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick
2019	J	`jnl`	A Deep Factorization of Style and Structure in Fonts. CoRR Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick
2019	—	`conf`	Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. ACL (1) Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko
2019	J	`jnl`	Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. CoRR Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko
2019	—	`conf`	Cross-Domain Generalization of Neural Constituency Parsers. ACL (1) Daniel Fried, Nikita Kitaev, Dan Klein
2019	J	`jnl`	Cross-Domain Generalization of Neural Constituency Parsers. CoRR Daniel Fried, Nikita Kitaev, Dan Klein
2019	—	`conf`	Multilingual Constituency Parsing with Self-Attention and Pre-Training. ACL (1) Nikita Kitaev, Steven Cao, Dan Klein
2019	—	`conf`	Pragmatically Informative Text Generation. NAACL-HLT (1) Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein
2019	J	`jnl`	Pragmatically Informative Text Generation. CoRR Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein
2019	—	`conf`	Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following. ACL (1) David Gaddy, Dan Klein
2019	J	`jnl`	Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following. CoRR David Gaddy, Dan Klein
2019	J	`jnl`	Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference. CoRR Nikita Kitaev, Dan Klein
2018	—	`conf`	Constituency Parsing with a Self-Attentive Encoder. ACL (1) Nikita Kitaev, Dan Klein
2018	J	`jnl`	Constituency Parsing with a Self-Attentive Encoder. CoRR Nikita Kitaev, Dan Klein
2018	—	`conf`	Learning with Latent Language. NAACL-HLT Jacob Andreas, Dan Klein, Sergey Levine
2018	J	`jnl`	Multilingual Constituency Parsing with Self-Attention and Pre-Training. CoRR Nikita Kitaev, Dan Klein
2018	—	`conf`	Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. ACL (2) Daniel Fried, Dan Klein
2018	J	`jnl`	Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. CoRR Daniel Fried, Dan Klein
2018	A*	`conf`	Speaker-Follower Models for Vision-and-Language Navigation. NeurIPS Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell
2018	J	`jnl`	Speaker-Follower Models for Vision-and-Language Navigation. CoRR Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell
2018	—	`conf`	Unified Pragmatic Models for Generating and Following Instructions. NAACL-HLT Daniel Fried, Jacob Andreas, Dan Klein
2018	—	`conf`	What's Going On in Neural Constituency Parsers? An Analysis. NAACL-HLT David Gaddy, Mitchell Stern, Dan Klein
2018	J	`jnl`	What's Going On in Neural Constituency Parsers? An Analysis. CoRR David Gaddy, Mitchell Stern, Dan Klein
2017	—	`conf`	A Minimal Span-Based Neural Constituency Parser. ACL (1) Mitchell Stern, Jacob Andreas, Dan Klein
2017	J	`jnl`	A Minimal Span-Based Neural Constituency Parser. CoRR Mitchell Stern, Jacob Andreas, Dan Klein
2017	—	`conf`	Abstract Syntax Networks for Code Generation and Semantic Parsing. ACL (1) Maxim Rabinovich, Mitchell Stern, Dan Klein
2017	J	`jnl`	Abstract Syntax Networks for Code Generation and Semantic Parsing. CoRR Maxim Rabinovich, Mitchell Stern, Dan Klein
2017	A*	`conf`	Analogs of Linguistic Structure in Deep Representations. EMNLP Jacob Andreas, Dan Klein
2017	J	`jnl`	Analogs of Linguistic Structure in Deep Representations. CoRR Jacob Andreas, Dan Klein
2017	A*	`conf`	Effective Inference for Generative Neural Parsing. EMNLP Mitchell Stern, Daniel Fried, Dan Klein
2017	J	`jnl`	Effective Inference for Generative Neural Parsing. CoRR Mitchell Stern, Daniel Fried, Dan Klein
2017	—	`conf`	Fine-Grained Entity Typing with High-Multiplicity Assignments. ACL (2) Maxim Rabinovich, Dan Klein
2017	J	`jnl`	Fine-Grained Entity Typing with High-Multiplicity Assignments. CoRR Maxim Rabinovich, Dan Klein
2017	—	`conf`	Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. ACL (2) Daniel Fried, Mitchell Stern, Dan Klein
2017	J	`jnl`	Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. CoRR Daniel Fried, Mitchell Stern, Dan Klein
2017	J	`jnl`	Learning with Latent Language. CoRR Jacob Andreas, Dan Klein, Sergey Levine
2017	A*	`conf`	Modular Multitask Reinforcement Learning with Policy Sketches. ICML Jacob Andreas, Dan Klein, Sergey Levine
2017	J	`jnl`	Parsing with Traces: An $O(n^4)$ Algorithm and a Structural Representation. CoRR Jonathan K. Kummerfeld, Dan Klein
2017	J	`jnl`	Parsing with Traces: An O(n^4) Algorithm and a Structural Representation. Trans. Assoc. Comput. Linguistics Jonathan K. Kummerfeld, Dan Klein
2017	—	`conf`	Translating Neuralese. ACL (1) Jacob Andreas, Anca D. Dragan, Dan Klein
2017	J	`jnl`	Translating Neuralese. CoRR Jacob Andreas, Anca D. Dragan, Dan Klein
2017	J	`jnl`	Unified Pragmatic Models for Generating and Following Instructions. CoRR Daniel Fried, Jacob Andreas, Dan Klein
2017	A*	`conf`	Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space. EMNLP Nikita Kitaev, Dan Klein
2016	—	`conf`	Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. HLT-NAACL Matthew Francis-Landau, Greg Durrett, Dan Klein
2016	J	`jnl`	Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. CoRR Matthew Francis-Landau, Greg Durrett, Dan Klein
2016	—	`conf`	Learning to Compose Neural Networks for Question Answering. HLT-NAACL Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein
2016	J	`jnl`	Learning to Compose Neural Networks for Question Answering. CoRR Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein
2016	—	`conf`	Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. ACL (1) Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein
2016	J	`jnl`	Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. CoRR Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein
2016	J	`jnl`	Modular Multitask Reinforcement Learning with Policy Sketches. CoRR Jacob Andreas, Dan Klein, Sergey Levine
2016	A*	`conf`	Neural Module Networks. CVPR Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein
2016	J	`jnl`	Reasoning About Pragmatics with Neural Listeners and Speakers. CoRR Jacob Andreas, Dan Klein
2016	A*	`conf`	Reasoning about Pragmatics with Neural Listeners and Speakers. EMNLP Jacob Andreas, Dan Klein
2015	A*	`conf`	Alignment-Based Compositional Semantics for Instruction Following. EMNLP Jacob Andreas, Dan Klein
2015	J	`jnl`	Alignment-based compositional semantics for instruction following. CoRR Jacob Andreas, Dan Klein
2015	A*	`conf`	An Empirical Analysis of Optimization for Max-Margin NLP. EMNLP Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Dan Klein
2015	J	`jnl`	Deep Compositional Question Answering with Neural Module Networks. CoRR Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein
2015	—	`conf`	Disfluency Detection with a Semi-Markov Model and Prosodic Features. HLT-NAACL James Ferguson, Greg Durrett, Dan Klein
2015	—	`conf`	GPU-Friendly Local Regression for Voice Conversion. HLT-NAACL Taylor Berg-Kirkpatrick, Dan Klein
2015	—	`conf`	Neural CRF Parsing. ACL (1) Greg Durrett, Dan Klein
2015	J	`jnl`	Neural CRF Parsing. CoRR Greg Durrett, Dan Klein
2015	—	`conf`	On the Accuracy of Self-Normalized Log-Linear Models. NIPS Jacob Andreas, Maxim Rabinovich, Michael I. Jordan, Dan Klein
2015	J	`jnl`	On the accuracy of self-normalized log-linear models. CoRR Jacob Andreas, Maxim Rabinovich, Dan Klein, Michael I. Jordan
2015	—	`conf`	Unsupervised Code-Switching for Multilingual Historical Document Transcription. HLT-NAACL Dan Garrette, Hannah Alpert-Abrams, Taylor Berg-Kirkpatrick, Dan Klein
2015	—	`conf`	When and why are log-linear models self-normalizing? HLT-NAACL Jacob Andreas, Dan Klein
2014	J	`jnl`	A Joint Model for Entity Analysis: Coreference, Typing, and Linking. Trans. Assoc. Comput. Linguistics Greg Durrett, Dan Klein
2014	J	`jnl`	Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor. Cogn. Sci. Anna N. Rafferty, Thomas L. Griffiths, Dan Klein
2014	B	`conf`	Grounding Language with Points and Paths in Continuous Spaces. CoNLL Jacob Andreas, Dan Klein
2014	—	`conf`	How much do word embeddings encode about syntax? ACL (2) Jacob Andreas, Dan Klein
2014	—	`conf`	Improved Typesetting Models for Historical OCR. ACL (2) Taylor Berg-Kirkpatrick, Dan Klein
2014	—	`conf`	Less Grammar, More Features. ACL (1) David Hall, Greg Durrett, Dan Klein
2014	—	`conf`	Sparser, Better, Faster GPU Parsing. ACL (1) David Hall, Taylor Berg-Kirkpatrick, Dan Klein
2014	—	`conf`	Structured Learning for Taxonomy Induction with Belief Propagation. ACL (1) Mohit Bansal, David Burkett, Gerard de Melo, Dan Klein
2014	—	`conf`	Unsupervised Transcription of Piano Music. NIPS Taylor Berg-Kirkpatrick, Jacob Andreas, Dan Klein
2013	A*	`conf`	A Multi-Teraflop Constituency Parser using GPUs. EMNLP John F. Canny, David Hall, Dan Klein
2013	—	`conf`	An Empirical Examination of Challenges in Chinese Parsing. ACL (2) Jonathan K. Kummerfeld, Daniel Tse, James R. Curran, Dan Klein
2013	J	`jnl`	Automated reconstruction of ancient languages using probabilistic models of sound change. Proc. Natl. Acad. Sci. USA Alexandre Bouchard-Côté, David Hall, Thomas L. Griffiths, Dan Klein
2013	—	`conf`	Decentralized Entity-Level Modeling for Coreference Resolution. ACL (1) Greg Durrett, David Hall, Dan Klein
2013	A*	`conf`	Decipherment with a Million Random Restarts. EMNLP Taylor Berg-Kirkpatrick, Dan Klein
2013	A*	`conf`	Easy Victories and Uphill Battles in Coreference Resolution. EMNLP Greg Durrett, Dan Klein
2013	A*	`conf`	Error-Driven Analysis of Challenges in Coreference Resolution. EMNLP Jonathan K. Kummerfeld, Dan Klein
2013	A*	`conf`	Faster Optimal Planning with Partial-Order Pruning. ICAPS David Leo Wright Hall, Alon Cohen, David Burkett, Dan Klein
2013	A	`conf`	Grounding spatial relations for human-robot interaction. IROS Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell
2013	J	`jnl`	Learning Dependency-Based Compositional Semantics. Comput. Linguistics Percy Liang, Michael I. Jordan, Dan Klein
2013	—	`conf`	Unsupervised Transcription of Historical Documents. ACL (1) Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein
2013	—	`conf`	Variational Inference for Structured NLP Models. ACL (Tutorial Abstracts) David Burkett, Dan Klein
2012	—	`conf`	An Empirical Investigation of Statistical Significance in NLP. EMNLP-CoNLL Taylor Berg-Kirkpatrick, David Burkett, Dan Klein
2012	—	`conf`	Coreference Semantics from Web Features. ACL (1) Mohit Bansal, Dan Klein
2012	—	`conf`	Fast Inference in Phrase Extraction Models with Belief Propagation. HLT-NAACL David Burkett, Dan Klein
2012	—	`conf`	Large-Scale Syntactic Language Modeling with Treelets. ACL (1) Adam Pauls, Dan Klein
2012	J	`jnl`	Mixture-of-Parents Maximum Entropy Markov Models CoRR David S. Rosenberg, Dan Klein, Ben Taskar
2012	—	`conf`	Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output. EMNLP-CoNLL Jonathan K. Kummerfeld, David Hall, James R. Curran, Dan Klein
2012	—	`conf`	Robust Conversion of CCG Derivations to Phrase Structure Trees. ACL (2) Jonathan K. Kummerfeld, Dan Klein, James R. Curran
2012	—	`conf`	Syntactic Transfer Using a Bilingual Lexicon. EMNLP-CoNLL Greg Durrett, Adam Pauls, Dan Klein
2012	—	`conf`	Training Factored PCFGs with Expectation Propagation. EMNLP-CoNLL David Hall, Dan Klein
2012	—	`conf`	Transforming Trees to Improve Syntactic Convergence. EMNLP-CoNLL David Burkett, Dan Klein
2012	—	`conf`	Variational Inference for Structured NLP Models. HLT-NAACL David Burkett, Dan Klein
2011	—	`conf`	An Empirical Investigation of Discounting in Cross-Domain Language Models. ACL (2) Greg Durrett, Dan Klein
2011	A*	`conf`	Faster and Smaller N-Gram Language Models. ACL Adam Pauls, Dan Klein
2011	A*	`conf`	Jointly Learning to Extract and Compress. ACL Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein
2011	A*	`conf`	Large-Scale Cognate Recovery. EMNLP David Hall, Dan Klein
2011	J	`jnl`	Learning Dependency-Based Compositional Semantics CoRR Percy Liang, Michael I. Jordan, Dan Klein
2011	A*	`conf`	Learning Dependency-Based Compositional Semantics. ACL Percy Liang, Michael I. Jordan, Dan Klein
2011	—	`conf`	Mention Detection: Heuristics for the OntoNotes annotations. CoNLL Shared Task Jonathan K. Kummerfeld, Mohit Bansal, David Burkett, Dan Klein
2011	A*	`conf`	Optimal Graph Search with Iterated Graph Cuts. AAAI David Burkett, David Hall, Dan Klein
2011	A*	`conf`	Simple Effective Decipherment via Combinatorial Optimization. EMNLP Taylor Berg-Kirkpatrick, Dan Klein
2011	—	`conf`	The Surprising Variance in Shortest-Derivation Parsing. ACL (2) Mohit Bansal, Dan Klein
2011	A*	`conf`	Web-Scale Features for Full-Scale Parsing. ACL Mohit Bansal, Dan Klein
2010	A*	`conf`	A Game-Theoretic Approach to Generating Spatial Descriptions. EMNLP Dave Golland, Percy Liang, Dan Klein
2010	A*	`conf`	A Simple Domain-Independent Probabilistic Approach to Generation. EMNLP Gabor Angeli, Percy Liang, Dan Klein
2010	—	`conf`	An Entity-Level Approach to Information Extraction. ACL (2) Aria Haghighi, Dan Klein
2010	—	`conf`	Coreference Resolution in a Modular, Entity-Centered Model. HLT-NAACL Aria Haghighi, Dan Klein
2010	A*	`conf`	Discriminative Modeling of Extraction Sets for Machine Translation. ACL John DeNero, Dan Klein
2010	A*	`conf`	Finding Cognate Groups Using Phylogenies. ACL David Hall, Dan Klein
2010	—	`conf`	Hierarchical A* Parsing with Bridge Outside Scores. ACL (2) Adam Pauls, Dan Klein
2010	—	`conf`	Joint Parsing and Alignment with Weakly Synchronized Grammars. HLT-NAACL David Burkett, John Blitzer, Dan Klein
2010	B	`conf`	Learning Better Monolingual Models with Unannotated Bilingual Text. CoNLL David Burkett, Slav Petrov, John Blitzer, Dan Klein
2010	A*	`conf`	Learning Programs: A Hierarchical Bayesian Approach. ICML Percy Liang, Michael I. Jordan, Dan Klein
2010	—	`conf`	Model AI Assignments. EAAI Todd W. Neller, John DeNero, Dan Klein, Sven Koenig, William Yeoh, Xiaoming Zheng, Kenny Daniel, Alex Nash, Zachary Dodds, Giuseppe Carenini, David Poole, Christopher Brooks
2010	—	`conf`	Painless Unsupervised Learning with Features. HLT-NAACL Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein
2010	A*	`conf`	Phylogenetic Grammar Induction. ACL Taylor Berg-Kirkpatrick, Dan Klein
2010	A*	`conf`	Simple, Accurate Parsing with an All-Fragments Grammar. ACL Mohit Bansal, Dan Klein
2010	—	`conf`	Teaching Introductory Artificial Intelligence with Pac-Man. EAAI John DeNero, Dan Klein
2010	—	`conf`	Top-Down K-Best A* Parsing. ACL (2) Adam Pauls, Dan Klein, Chris Quirk
2010	—	`conf`	Type-Based MCMC. HLT-NAACL Percy Liang, Michael I. Jordan, Dan Klein
2010	—	`conf`	Unsupervised Syntactic Alignment with Inversion Transduction Grammars. HLT-NAACL Adam Pauls, Dan Klein, David Chiang, Kevin Knight
2009	—	`conf`	Asynchronous Binarization for Synchronous Grammars. ACL/IJCNLP (2) John DeNero, Adam Pauls, Dan Klein
2009	—	`conf`	Better Word Alignments with Supervised ITG Models. ACL/IJCNLP Aria Haghighi, John Blitzer, John DeNero, Dan Klein
2009	A*	`conf`	Consensus Training for Consensus Decoding in Machine Translation. EMNLP Adam Pauls, John DeNero, Dan Klein
2009	—	`conf`	Efficient Parsing for Transducer Grammars. HLT-NAACL John DeNero, Mohit Bansal, Adam Pauls, Dan Klein
2009	—	`conf`	Hierarchical Search for Parsing. HLT-NAACL Adam Pauls, Dan Klein
2009	—	`conf`	Improved Reconstruction of Protolanguage Word Forms. HLT-NAACL Alexandre Bouchard-Côté, Thomas L. Griffiths, Dan Klein
2009	—	`conf`	K-Best A* Parsing. ACL/IJCNLP Adam Pauls, Dan Klein
2009	—	`conf`	Learning Semantic Correspondences with Less Supervision. ACL/IJCNLP Percy Liang, Michael I. Jordan, Dan Klein
2009	A*	`conf`	Learning from measurements in exponential families. ICML Percy Liang, Michael I. Jordan, Dan Klein
2009	—	`conf`	Online EM for Unsupervised Models. HLT-NAACL Percy Liang, Dan Klein
2009	—	`conf`	Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs. NIPS Alexandre Bouchard-Côté, Slav Petrov, Dan Klein
2009	A*	`conf`	Simple Coreference Resolution with Rich Syntactic and Semantic Features. EMNLP Aria Haghighi, Dan Klein
2008	A*	`conf`	Analyzing the Errors of Unsupervised Learning. ACL Percy Liang, Dan Klein
2008	A*	`conf`	Coarse-to-Fine Syntactic Machine Translation using Language Projections. EMNLP Slav Petrov, Aria Haghighi, Dan Klein
2008	—	`conf`	Efficient Inference in Phylogenetic InDel Trees. NIPS Alexandre Bouchard-Côté, Michael I. Jordan, Dan Klein
2008	—	`conf`	Efficient sentence segmentation using syntactic features. SLT Benoît Favre, Dilek Hakkani-Tür, Slav Petrov, Dan Klein
2008	A*	`conf`	Fully distributed EM for very large datasets. ICML Jason Andrew Wolfe, Aria Haghighi, Dan Klein
2008	A*	`conf`	Learning Bilingual Lexicons from Monolingual Corpora. ACL Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein
2008	A*	`conf`	Sampling Alignment Structure under a Bayesian Translation Model. EMNLP John DeNero, Alexandre Bouchard-Côté, Dan Klein
2008	A*	`conf`	Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing. EMNLP Slav Petrov, Dan Klein
2008	A*	`conf`	Structure compilation: trading structure for features. ICML Percy Liang, Hal Daumé III, Dan Klein
2008	—	`conf`	The Complexity of Phrase Alignment Problems. ACL (2) John DeNero, Dan Klein
2008	A*	`conf`	Two Languages are Better than One (for Syntactic Parsing). EMNLP David Burkett, Dan Klein
2008	A*	`conf`	Unsupervised Learning for Natural Language Processing. COLT Dan Klein
2007	—	`conf`	A Probabilistic Approach to Diachronic Phonology. EMNLP-CoNLL Alexandre Bouchard-Côté, Percy Liang, Thomas Griffiths, Dan Klein
2007	—	`conf`	A Probabilistic Approach to Language Change. NIPS Alexandre Bouchard-Côté, Percy Liang, Thomas L. Griffiths, Dan Klein
2007	A*	`conf`	A* Search via Approximate Factoring. AAAI Aria Haghighi, John DeNero, Dan Klein
2007	—	`conf`	Agreement-Based Learning. NIPS Percy Liang, Dan Klein, Michael I. Jordan
2007	—	`conf`	Approximate Factoring for A* Search. HLT-NAACL Aria Haghighi, John DeNero, Dan Klein
2007	—	`conf`	Discriminative Log-Linear Grammars with Latent Variables. NIPS Slav Petrov, Dan Klein
2007	—	`conf`	Improved Inference for Unlexicalized Parsing. HLT-NAACL Slav Petrov, Dan Klein
2007	—	`conf`	Introduction to Classification: Likelihoods, Margins, Features, and Kernels. HLT-NAACL (Tutorial Abstracts) Dan Klein
2007	—	`conf`	Learning Structured Models for Phone Recognition. EMNLP-CoNLL Slav Petrov, Adam Pauls, Dan Klein
2007	A*	`conf`	Learning and Inference for Hierarchically Split PCFGs. AAAI Slav Petrov, Dan Klein
2007	A	`conf`	Mixture-of-Parents Maximum Entropy Markov Models. UAI David S. Rosenberg, Dan Klein, Ben Taskar
2007	A*	`conf`	Tailoring Word Alignments to Syntactic Machine Translation. ACL John DeNero, Dan Klein
2007	—	`conf`	The Infinite PCFG Using Hierarchical Dirichlet Processes. EMNLP-CoNLL Percy Liang, Slav Petrov, Michael I. Jordan, Dan Klein
2007	A*	`conf`	Unsupervised Coreference Resolution in a Nonparametric Bayesian Model. ACL Aria Haghighi, Dan Klein
2006	—	`conf`	Alignment by Agreement. HLT-NAACL Percy Liang, Benjamin Taskar, Dan Klein
2006	A*	`conf`	An End-to-End Discriminative Approach to Machine Translation. ACL Percy Liang, Alexandre Bouchard-Côté, Dan Klein, Benjamin Taskar
2006	—	`conf`	Detecting Categories in News Video Using Acoustic, Speech, and Image Features. TRECVID Slav Petrov, Arlo Faria, Pascal Michaillat, Alexander C. Berg, Andreas Stolcke, Dan Klein, Jitendra Malik
2006	A*	`conf`	Learning Accurate, Compact, and Interpretable Tree Annotation. ACL Slav Petrov, Leon Barrett, Romain Thibaux, Dan Klein
2006	B	`conf`	Non-Local Modeling with a Mixture of PCFGs. CoNLL Slav Petrov, Leon Barrett, Dan Klein
2006	A*	`conf`	Prototype-Driven Grammar Induction. ACL Aria Haghighi, Dan Klein
2006	—	`conf`	Prototype-Driven Learning for Sequence Models. HLT-NAACL Aria Haghighi, Dan Klein
2006	—	`conf`	Why Generative Phrase Models Underperform Surface Heuristics. WMT@HLT-NAACL John DeNero, Dan Gillick, James Zhang, Dan Klein
2006	—	`conf`	Word Alignment via Quadratic Assignment. HLT-NAACL Simon Lacoste-Julien, Benjamin Taskar, Dan Klein, Michael I. Jordan
2005	—	`conf`	A Discriminative Matching Approach to Word Alignment. HLT/EMNLP Benjamin Taskar, Simon Lacoste-Julien, Dan Klein
2005	J	`jnl`	Natural language grammar induction with a generative constituent-context model. Pattern Recognit. Dan Klein, Christopher D. Manning
2005	—	`—`	The unsupervised learning of natural language structure. Dan Klein
2005	A*	`conf`	Unsupervised Learning of Field Segmentation Models for Information Extraction. ACL Trond Grenager, Dan Klein, Christopher D. Manning
2004	A*	`conf`	Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency. ACL Dan Klein, Christopher D. Manning
2004	J	`jnl`	Data-Oriented Parsing edited by Rens Bod, Remko Scha, and Khalil Sima'an. Comput. Linguistics Dan Klein
2004	A*	`conf`	Max-Margin Parsing. EMNLP Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning
2003	—	`conf`	A* Parsing: Fast Exact Viterbi Parse Selection. HLT-NAACL Dan Klein, Christopher D. Manning
2003	A*	`conf`	Accurate Unlexicalized Parsing. ACL Dan Klein, Christopher D. Manning
2003	A*	`conf`	Factored A IJCAI Dan Klein, Christopher D. Manning
2003	—	`conf`	Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. HLT-NAACL Kristina Toutanova, Dan Klein, Christopher D. Manning, Yoram Singer
2003	B	`conf`	Named Entity Recognition with Character-Level Models. CoNLL Dan Klein, Joseph Smarr, Huy Nguyen, Christopher D. Manning
2003	—	`conf`	Optimization, Maxent Models, and Conditional Estimation without Magic. HLT-NAACL Christopher D. Manning, Dan Klein
2003	A*	`conf`	Spectral Learning. IJCAI Sepandar D. Kamvar, Dan Klein, Christopher D. Manning
2002	A*	`conf`	A Generative Constituent-Context Model for Improved Grammar Induction. ACL Dan Klein, Christopher D. Manning
2002	—	`conf`	Combining Heterogeneous Classifiers for Word Sense Disambiguation. SENSEVAL Dan Klein, Kristina Toutanova, H. Tolga Ilhan, Sepandar D. Kamvar, Christopher D. Manning
2002	A*	`conf`	Conditional Structure versus Conditional Estimation in NLP Models. EMNLP Dan Klein, Christopher D. Manning
2002	A*	`conf`	Evaluating strategies for similarity search on the web. WWW Taher H. Haveliwala, Aristides Gionis, Dan Klein, Piotr Indyk
2002	—	`conf`	Fast Exact Inference with a Factored Model for Natural Language Parsing. NIPS Dan Klein, Christopher D. Manning
2002	A*	`conf`	From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering. ICML Dan Klein, Sepandar D. Kamvar, Christopher D. Manning
2002	A*	`conf`	Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach. ICML Sepandar D. Kamvar, Dan Klein, Christopher D. Manning
2001	—	`conf`	Combining Heterogeneous Classifiers for Word-Sense Disambiguation. SENSEVAL@ACL H. Tolga Ilhan, Sepandar D. Kamvar, Dan Klein, Christopher D. Manning, Kristina Toutanova
2001	B	`conf`	Distributional phrase structure induction. CoNLL Dan Klein, Christopher D. Manning
2001	—	`conf`	Natural Language Grammar Induction Using a Constituent-Context Model. NIPS Dan Klein, Christopher D. Manning
2001	—	`conf`	Parsing and Hypergraphs. IWPT Dan Klein, Christopher D. Manning
2001	A*	`conf`	Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank. ACL Dan Klein, Christopher D. Manning