| 2025 | ACL | Enough Coin Flips Can Make LLMs Act Bayesian. | Ritwik Gupta, Rodolfo Corona, Jiaxin Ge, Eric Wang, Dan Klein, Trevor Darrell, David M. Chan |
| 2025 | CVPR | Pose Priors from Language Models. | Sanjay Subramanian, Evonne Ng, Lea Mller, Dan Klein, Shiry Ginosar, Trevor Darrell |
| 2025 | FOIS | An Ontological Lens on Attack Trees: Toward Adequacy and Interoperability. | Italo Jose da Silva Oliveira, Stefano M. Nicoletti, Gal Engelberg, Mattia Fumagalli, Dan Klein, Giancarlo Guizzardi |
| 2025 | NAACL | ThoughtSculpt: Reasoning with Intermediate Revision and Search. | Yizhou Chi, Kevin Yang, Dan Klein |
| 2025 | NAACL | FactTrack: Time-Aware World State Tracking in Story Outlines. | Zhiheng Lyu, Kevin Yang, Lingpeng Kong, Dan Klein |
| 2024 | ACL | What Evidence Do Language Models Find Convincing? | Alexander Wan, Eric Wallace, Dan Klein |
| 2024 | ACL | American Sign Language Handshapes Reflect Pressures for Communicative Efficiency. | Kayo Yin, Terry Regier, Dan Klein |
| 2024 | EMNLP | Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination. | Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein |
| 2024 | FM | Fast Attack Graph Defense Localization via Bisimulation. | Nimrod Busany, Rafi Shalom, Dan Klein, Shahar Maoz |
| 2024 | ICLR | RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment. | Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian |
| 2024 | ICML | Learning to Model the World With Language. | Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan |
| 2024 | IJCAI | Inferring Ontological Categories of OWL Classes Using Foundational Rules (Extended Abstract). | Pedro Paulo F. Barcelos, Tiago Prince Sales, Elena Romanenko, Joo Paulo A. Almeida, Gal Engelberg, Dan Klein, Giancarlo Guizzardi |
| 2024 | NAACL | The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. | Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat |
| 2024 | NAACL | Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction. | Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein |
| 2024 | NAACL | Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding. | Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason |
| 2024 | NAACL | Ghostbuster: Detecting Text Ghostwritten by Large Language Models. | Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein |
| 2023 | ACL | Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. | Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo |
| 2023 | ACL | The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding. | Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein |
| 2023 | ACL | Neural Unsupervised Reconstruction of Protolanguage Word Forms. | Andre He, Nicholas Tomlin, Dan Klein |
| 2023 | ACL | PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. | Jonathan Pei, Kevin Yang, Dan Klein |
| 2023 | ACL | Modular Visual Question Answering via Code Generation. | Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein |
| 2023 | ACL | DOC: Improving Long Story Coherence With Detailed Outline Control. | Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian |
| 2023 | EMNLP | When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks. | Eve Fleisig, Rediet Abebe, Dan Klein |
| 2023 | EMNLP | Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. | Olivia Huang, Eve Fleisig, Dan Klein |
| 2023 | EMNLP | Decomposing Complex Queries for Tip-of-the-tongue Retrieval. | Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein |
| 2023 | EMNLP | Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. | Vyoma Raman, Eve Fleisig, Dan Klein |
| 2023 | EMNLP | Revisiting Entropy Rate Constancy in Text. | Vivek Verma, Nicholas Tomlin, Dan Klein |
| 2023 | EMNLP | Improving Pacing in Long-Form Story Planning. | Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein |
| 2023 | EMNLP | Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL. | Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner |
| 2023 | FOIS | Inferring Ontological Categories of OWL Classes Using Foundational Rules. | Pedro Paulo F. Barcelos, Tiago Prince Sales, Elena Romanenko, Joo Paulo A. Almeida, Gal Engelberg, Dan Klein, Giancarlo Guizzardi |
| 2023 | FOIS | Boosting D3FEND: Ontological Analysis and Recommendations. | Italo Jose da Silva Oliveira, Gal Engelberg, Pedro Paulo F. Barcelos, Tiago Prince Sales, Mattia Fumagalli, Riccardo Baratella, Dan Klein, Giancarlo Guizzardi |
| 2023 | ICCV | Can Language Models Learn to Listen? | Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar |
| 2023 | ICLR | Discovering Latent Knowledge in Language Models Without Supervision. | Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt |
| 2023 | ICML | Poisoning Language Models During Instruction Tuning. | Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein |
| 2023 | RCIS | On the Semantics of Risk Propagation. | Mattia Fumagalli, Gal Engelberg, Tiago Prince Sales, Italo Jose da Silva Oliveira, Dan Klein, Pnina Soffer, Riccardo Baratella, Giancarlo Guizzardi |
| 2023 | SAC | An Ontology-Driven Approach for Process-Aware Risk Propagation. | Gal Engelberg, Mattia Fumagalli, Adrian Kuboszek, Dan Klein, Pnina Soffer, Giancarlo Guizzardi |
| 2022 | ACL | Voxel-informed Language Grounding. | Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell |
| 2022 | ACL | Learned Incremental Representations for Parsing. | Nikita Kitaev, Thomas Lu, Dan Klein |
| 2022 | ACL | Inferring Rewards from Language in Context. | Jessy Lin, Daniel Fried, Dan Klein, Anca D. Dragan |
| 2022 | ACL | Understanding Game-Playing Agents with Natural Language Annotations. | Nicholas Tomlin, Andre He, Dan Klein |
| 2022 | ACL | Automated Crossword Solving. | Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew L. Ginsberg, Dan Klein |
| 2022 | EMNLP | Re3: Generating Longer Stories With Recursive Reprompting and Revision. | Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein |
| 2022 | ICML | Describing Differences between Text Distributions with Natural Language. | Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt |
| 2021 | ACL | An Improved Model for Voicing Silent Speech. | David Gaddy, Dan Klein |
| 2021 | ACL | Value-Agnostic Conversational Semantic Parsing. | Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo, Sam Thomson, Jayant Krishnamurthy, Jason Andrew Wolfe, Jacob Andreas, Dan Klein |
| 2021 | ACL | Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. | Ruiqi Zhong, Dhruba Ghosh, Dan Klein, Jacob Steinhardt |
| 2021 | EMNLP | Reference-Centric Models for Grounded Collaborative Dialogue. | Daniel Fried, Justin T. Chiu, Dan Klein |
| 2021 | EMNLP | Constrained Language Models Yield Few-Shot Semantic Parsers. | Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme |
| 2021 | EMNLP | Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections. | Ruiqi Zhong, Kristy Lee, Zheng Zhang, Dan Klein |
| 2021 | ICML | Calibrate Before Use: Improving Few-shot Performance of Language Models. | Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh |
| 2021 | NAACL | Constructing Taxonomies from Pretrained Language Models. | Catherine Chen, Kevin Lin, Dan Klein |
| 2021 | NAACL | Modular Networks for Compositional Instruction Following. | Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell |
| 2021 | NAACL | Detoxifying Language Models Risks Marginalizing Minority Voices. | Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein |
| 2021 | NAACL | FUDGE: Controlled Text Generation With Future Discriminators. | Kevin Yang, Dan Klein |
| 2020 | ACL | Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference. | Nikita Kitaev, Dan Klein |
| 2020 | ACL | Semantic Scaffolds for Pseudocode-to-Code Generation. | Ruiqi Zhong, Mitchell Stern, Dan Klein |
| 2020 | EMNLP | Unsupervised Parsing via Constituency Tests. | Steven Cao, Nikita Kitaev, Dan Klein |
| 2020 | EMNLP | Digital Voicing of Silent Speech. | David Gaddy, Dan Klein |
| 2020 | EMNLP | A Streaming Approach For Efficient Batched Beam Search. | Kevin Yang, Violet Yao, John DeNero, Dan Klein |
| 2020 | EMNLP | Semantic Evaluation for Text-to-SQL with Distilled Test Suites. | Ruiqi Zhong, Tao Yu, Dan Klein |
| 2020 | ICLR | Multilingual Alignment of Contextual Word Representations. | Steven Cao, Nikita Kitaev, Dan Klein |
| 2020 | ICML | Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. | Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez |
| 2019 | ACL | Cross-Domain Generalization of Neural Constituency Parsers. | Daniel Fried, Nikita Kitaev, Dan Klein |
| 2019 | ACL | Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following. | David Gaddy, Dan Klein |
| 2019 | ACL | Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. | Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko |
| 2019 | ACL | Multilingual Constituency Parsing with Self-Attention and Pre-Training. | Nikita Kitaev, Steven Cao, Dan Klein |
| 2019 | EMNLP | A Deep Factorization of Style and Structure in Fonts. | Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick |
| 2019 | NAACL | Pragmatically Informative Text Generation. | Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein |
| 2018 | ACL | Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. | Daniel Fried, Dan Klein |
| 2018 | ACL | Constituency Parsing with a Self-Attentive Encoder. | Nikita Kitaev, Dan Klein |
| 2018 | NAACL | Learning with Latent Language. | Jacob Andreas, Dan Klein, Sergey Levine |
| 2018 | NAACL | Unified Pragmatic Models for Generating and Following Instructions. | Daniel Fried, Jacob Andreas, Dan Klein |
| 2018 | NAACL | What's Going On in Neural Constituency Parsers? An Analysis. | David Gaddy, Mitchell Stern, Dan Klein |
| 2017 | ACL | Translating Neuralese. | Jacob Andreas, Anca D. Dragan, Dan Klein |
| 2017 | ACL | Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. | Daniel Fried, Mitchell Stern, Dan Klein |
| 2017 | ACL | Fine-Grained Entity Typing with High-Multiplicity Assignments. | Maxim Rabinovich, Dan Klein |
| 2017 | ACL | Abstract Syntax Networks for Code Generation and Semantic Parsing. | Maxim Rabinovich, Mitchell Stern, Dan Klein |
| 2017 | ACL | A Minimal Span-Based Neural Constituency Parser. | Mitchell Stern, Jacob Andreas, Dan Klein |
| 2017 | EMNLP | Analogs of Linguistic Structure in Deep Representations. | Jacob Andreas, Dan Klein |
| 2017 | EMNLP | Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space. | Nikita Kitaev, Dan Klein |
| 2017 | EMNLP | Effective Inference for Generative Neural Parsing. | Mitchell Stern, Daniel Fried, Dan Klein |
| 2017 | ICML | Modular Multitask Reinforcement Learning with Policy Sketches. | Jacob Andreas, Dan Klein, Sergey Levine |
| 2016 | ACL | Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. | Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein |
| 2016 | CVPR | Neural Module Networks. | Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein |
| 2016 | EMNLP | Reasoning about Pragmatics with Neural Listeners and Speakers. | Jacob Andreas, Dan Klein |
| 2016 | NAACL | Learning to Compose Neural Networks for Question Answering. | Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein |
| 2016 | NAACL | Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. | Matthew Francis-Landau, Greg Durrett, Dan Klein |
| 2015 | ACL | Neural CRF Parsing. | Greg Durrett, Dan Klein |
| 2015 | EMNLP | Alignment-Based Compositional Semantics for Instruction Following. | Jacob Andreas, Dan Klein |
| 2015 | EMNLP | An Empirical Analysis of Optimization for Max-Margin NLP. | Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Dan Klein |
| 2015 | NAACL | When and why are log-linear models self-normalizing? | Jacob Andreas, Dan Klein |
| 2015 | NAACL | GPU-Friendly Local Regression for Voice Conversion. | Taylor Berg-Kirkpatrick, Dan Klein |
| 2015 | NAACL | Disfluency Detection with a Semi-Markov Model and Prosodic Features. | James Ferguson, Greg Durrett, Dan Klein |
| 2015 | NAACL | Unsupervised Code-Switching for Multilingual Historical Document Transcription. | Dan Garrette, Hannah Alpert-Abrams, Taylor Berg-Kirkpatrick, Dan Klein |
| 2014 | ACL | How much do word embeddings encode about syntax? | Jacob Andreas, Dan Klein |
| 2014 | ACL | Structured Learning for Taxonomy Induction with Belief Propagation. | Mohit Bansal, David Burkett, Gerard de Melo, Dan Klein |
| 2014 | ACL | Improved Typesetting Models for Historical OCR. | Taylor Berg-Kirkpatrick, Dan Klein |
| 2014 | ACL | Sparser, Better, Faster GPU Parsing. | David Hall, Taylor Berg-Kirkpatrick, Dan Klein |
| 2014 | ACL | Less Grammar, More Features. | David Hall, Greg Durrett, Dan Klein |
| 2014 | CoNLL | Grounding Language with Points and Paths in Continuous Spaces. | Jacob Andreas, Dan Klein |
| 2013 | ACL | Unsupervised Transcription of Historical Documents. | Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein |
| 2013 | ACL | Variational Inference for Structured NLP Models. | David Burkett, Dan Klein |
| 2013 | ACL | Decentralized Entity-Level Modeling for Coreference Resolution. | Greg Durrett, David Hall, Dan Klein |
| 2013 | ACL | An Empirical Examination of Challenges in Chinese Parsing. | Jonathan K. Kummerfeld, Daniel Tse, James R. Curran, Dan Klein |
| 2013 | EMNLP | Decipherment with a Million Random Restarts. | Taylor Berg-Kirkpatrick, Dan Klein |
| 2013 | EMNLP | A Multi-Teraflop Constituency Parser using GPUs. | John F. Canny, David Hall, Dan Klein |
| 2013 | EMNLP | Easy Victories and Uphill Battles in Coreference Resolution. | Greg Durrett, Dan Klein |
| 2013 | EMNLP | Error-Driven Analysis of Challenges in Coreference Resolution. | Jonathan K. Kummerfeld, Dan Klein |
| 2013 | IROS | Grounding spatial relations for human-robot interaction. | Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Ghring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell |
| 2012 | ACL | Coreference Semantics from Web Features. | Mohit Bansal, Dan Klein |
| 2012 | ACL | Robust Conversion of CCG Derivations to Phrase Structure Trees. | Jonathan K. Kummerfeld, Dan Klein, James R. Curran |
| 2012 | ACL | Large-Scale Syntactic Language Modeling with Treelets. | Adam Pauls, Dan Klein |
| 2012 | EMNLP | An Empirical Investigation of Statistical Significance in NLP. | Taylor Berg-Kirkpatrick, David Burkett, Dan Klein |
| 2012 | EMNLP | Transforming Trees to Improve Syntactic Convergence. | David Burkett, Dan Klein |
| 2012 | EMNLP | Syntactic Transfer Using a Bilingual Lexicon. | Greg Durrett, Adam Pauls, Dan Klein |
| 2012 | EMNLP | Training Factored PCFGs with Expectation Propagation. | David Hall, Dan Klein |
| 2012 | EMNLP | Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output. | Jonathan K. Kummerfeld, David Hall, James R. Curran, Dan Klein |
| 2012 | NAACL | Fast Inference in Phrase Extraction Models with Belief Propagation. | David Burkett, Dan Klein |
| 2012 | NAACL | Variational Inference for Structured NLP Models. | David Burkett, Dan Klein |
| 2011 | AAAI | Optimal Graph Search with Iterated Graph Cuts. | David Burkett, David Hall, Dan Klein |
| 2011 | ACL | Web-Scale Features for Full-Scale Parsing. | Mohit Bansal, Dan Klein |
| 2011 | ACL | The Surprising Variance in Shortest-Derivation Parsing. | Mohit Bansal, Dan Klein |
| 2011 | ACL | Jointly Learning to Extract and Compress. | Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein |
| 2011 | ACL | An Empirical Investigation of Discounting in Cross-Domain Language Models. | Greg Durrett, Dan Klein |
| 2011 | ACL | Learning Dependency-Based Compositional Semantics. | Percy Liang, Michael I. Jordan, Dan Klein |
| 2011 | ACL | Faster and Smaller N-Gram Language Models. | Adam Pauls, Dan Klein |
| 2011 | CoNLL | Mention Detection: Heuristics for the OntoNotes annotations. | Jonathan K. Kummerfeld, Mohit Bansal, David Burkett, Dan Klein |
| 2011 | EMNLP | Simple Effective Decipherment via Combinatorial Optimization. | Taylor Berg-Kirkpatrick, Dan Klein |
| 2011 | EMNLP | Large-Scale Cognate Recovery. | David Hall, Dan Klein |
| 2010 | ACL | Simple, Accurate Parsing with an All-Fragments Grammar. | Mohit Bansal, Dan Klein |
| 2010 | ACL | Phylogenetic Grammar Induction. | Taylor Berg-Kirkpatrick, Dan Klein |
| 2010 | ACL | Discriminative Modeling of Extraction Sets for Machine Translation. | John DeNero, Dan Klein |
| 2010 | ACL | An Entity-Level Approach to Information Extraction. | Aria Haghighi, Dan Klein |
| 2010 | ACL | Finding Cognate Groups Using Phylogenies. | David Hall, Dan Klein |
| 2010 | ACL | Hierarchical A* Parsing with Bridge Outside Scores. | Adam Pauls, Dan Klein |
| 2010 | ACL | Top-Down K-Best A* Parsing. | Adam Pauls, Dan Klein, Chris Quirk |
| 2010 | CoNLL | Learning Better Monolingual Models with Unannotated Bilingual Text. | David Burkett, Slav Petrov, John Blitzer, Dan Klein |
| 2010 | EMNLP | A Simple Domain-Independent Probabilistic Approach to Generation. | Gabor Angeli, Percy Liang, Dan Klein |
| 2010 | EMNLP | A Game-Theoretic Approach to Generating Spatial Descriptions. | Dave Golland, Percy Liang, Dan Klein |
| 2010 | ICML | Learning Programs: A Hierarchical Bayesian Approach. | Percy Liang, Michael I. Jordan, Dan Klein |
| 2010 | NAACL | Painless Unsupervised Learning with Features. | Taylor Berg-Kirkpatrick, Alexandre Bouchard-Ct, John DeNero, Dan Klein |
| 2010 | NAACL | Joint Parsing and Alignment with Weakly Synchronized Grammars. | David Burkett, John Blitzer, Dan Klein |
| 2010 | NAACL | Coreference Resolution in a Modular, Entity-Centered Model. | Aria Haghighi, Dan Klein |
| 2010 | NAACL | Type-Based MCMC. | Percy Liang, Michael I. Jordan, Dan Klein |
| 2010 | NAACL | Unsupervised Syntactic Alignment with Inversion Transduction Grammars. | Adam Pauls, Dan Klein, David Chiang, Kevin Knight |
| 2009 | ACL | Asynchronous Binarization for Synchronous Grammars. | John DeNero, Adam Pauls, Dan Klein |
| 2009 | ACL | Better Word Alignments with Supervised ITG Models. | Aria Haghighi, John Blitzer, John DeNero, Dan Klein |
| 2009 | ACL | Learning Semantic Correspondences with Less Supervision. | Percy Liang, Michael I. Jordan, Dan Klein |
| 2009 | ACL | K-Best A* Parsing. | Adam Pauls, Dan Klein |
| 2009 | EMNLP | Simple Coreference Resolution with Rich Syntactic and Semantic Features. | Aria Haghighi, Dan Klein |
| 2009 | EMNLP | Consensus Training for Consensus Decoding in Machine Translation. | Adam Pauls, John DeNero, Dan Klein |
| 2009 | ICML | Learning from measurements in exponential families. | Percy Liang, Michael I. Jordan, Dan Klein |
| 2009 | NAACL | Improved Reconstruction of Protolanguage Word Forms. | Alexandre Bouchard-Ct, Thomas L. Griffiths, Dan Klein |
| 2009 | NAACL | Efficient Parsing for Transducer Grammars. | John DeNero, Mohit Bansal, Adam Pauls, Dan Klein |
| 2009 | NAACL | Online EM for Unsupervised Models. | Percy Liang, Dan Klein |
| 2009 | NAACL | Hierarchical Search for Parsing. | Adam Pauls, Dan Klein |
| 2008 | ACL | The Complexity of Phrase Alignment Problems. | John DeNero, Dan Klein |
| 2008 | ACL | Learning Bilingual Lexicons from Monolingual Corpora. | Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein |
| 2008 | ACL | Analyzing the Errors of Unsupervised Learning. | Percy Liang, Dan Klein |
| 2008 | COLT | Unsupervised Learning for Natural Language Processing. | Dan Klein |
| 2008 | EMNLP | Two Languages are Better than One (for Syntactic Parsing). | David Burkett, Dan Klein |
| 2008 | EMNLP | Sampling Alignment Structure under a Bayesian Translation Model. | John DeNero, Alexandre Bouchard-Ct, Dan Klein |
| 2008 | EMNLP | Coarse-to-Fine Syntactic Machine Translation using Language Projections. | Slav Petrov, Aria Haghighi, Dan Klein |
| 2008 | EMNLP | Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing. | Slav Petrov, Dan Klein |
| 2008 | ICML | Structure compilation: trading structure for features. | Percy Liang, Hal Daum III, Dan Klein |
| 2008 | ICML | Fully distributed EM for very large datasets. | Jason Andrew Wolfe, Aria Haghighi, Dan Klein |
| 2007 | AAAI | A* Search via Approximate Factoring. | Aria Haghighi, John DeNero, Dan Klein |
| 2007 | AAAI | Learning and Inference for Hierarchically Split PCFGs. | Slav Petrov, Dan Klein |
| 2007 | ACL | Tailoring Word Alignments to Syntactic Machine Translation. | John DeNero, Dan Klein |
| 2007 | ACL | Unsupervised Coreference Resolution in a Nonparametric Bayesian Model. | Aria Haghighi, Dan Klein |
| 2007 | EMNLP | A Probabilistic Approach to Diachronic Phonology. | Alexandre Bouchard-Ct, Percy Liang, Thomas Griffiths, Dan Klein |
| 2007 | EMNLP | The Infinite PCFG Using Hierarchical Dirichlet Processes. | Percy Liang, Slav Petrov, Michael I. Jordan, Dan Klein |
| 2007 | EMNLP | Learning Structured Models for Phone Recognition. | Slav Petrov, Adam Pauls, Dan Klein |
| 2007 | NAACL | Approximate Factoring for A* Search. | Aria Haghighi, John DeNero, Dan Klein |
| 2007 | NAACL | Introduction to Classification: Likelihoods, Margins, Features, and Kernels. | Dan Klein |
| 2007 | NAACL | Improved Inference for Unlexicalized Parsing. | Slav Petrov, Dan Klein |
| 2007 | UAI | Mixture-of-Parents Maximum Entropy Markov Models. | David S. Rosenberg, Dan Klein, Ben Taskar |
| 2006 | ACL | Prototype-Driven Grammar Induction. | Aria Haghighi, Dan Klein |
| 2006 | ACL | An End-to-End Discriminative Approach to Machine Translation. | Percy Liang, Alexandre Bouchard-Ct, Dan Klein, Benjamin Taskar |
| 2006 | ACL | Learning Accurate, Compact, and Interpretable Tree Annotation. | Slav Petrov, Leon Barrett, Romain Thibaux, Dan Klein |
| 2006 | CoNLL | Non-Local Modeling with a Mixture of PCFGs. | Slav Petrov, Leon Barrett, Dan Klein |
| 2006 | NAACL | Prototype-Driven Learning for Sequence Models. | Aria Haghighi, Dan Klein |
| 2006 | NAACL | Word Alignment via Quadratic Assignment. | Simon Lacoste-Julien, Benjamin Taskar, Dan Klein, Michael I. Jordan |
| 2006 | NAACL | Alignment by Agreement. | Percy Liang, Benjamin Taskar, Dan Klein |
| 2005 | ACL | Unsupervised Learning of Field Segmentation Models for Information Extraction. | Trond Grenager, Dan Klein, Christopher D. Manning |
| 2005 | NAACL | A Discriminative Matching Approach to Word Alignment. | Benjamin Taskar, Simon Lacoste-Julien, Dan Klein |
| 2004 | ACL | Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency. | Dan Klein, Christopher D. Manning |
| 2004 | EMNLP | Max-Margin Parsing. | Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning |
| 2003 | ACL | Accurate Unlexicalized Parsing. | Dan Klein, Christopher D. Manning |
| 2003 | CoNLL | Named Entity Recognition with Character-Level Models. | Dan Klein, Joseph Smarr, Huy Nguyen, Christopher D. Manning |
| 2003 | IJCAI | Spectral Learning. | Sepandar D. Kamvar, Dan Klein, Christopher D. Manning |
| 2003 | IJCAI | Factored A | Dan Klein, Christopher D. Manning |
| 2003 | NAACL | A* Parsing: Fast Exact Viterbi Parse Selection. | Dan Klein, Christopher D. Manning |
| 2003 | NAACL | Optimization, Maxent Models, and Conditional Estimation without Magic. | Christopher D. Manning, Dan Klein |
| 2003 | NAACL | Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. | Kristina Toutanova, Dan Klein, Christopher D. Manning, Yoram Singer |
| 2002 | ACL | A Generative Constituent-Context Model for Improved Grammar Induction. | Dan Klein, Christopher D. Manning |
| 2002 | EMNLP | Conditional Structure versus Conditional Estimation in NLP Models. | Dan Klein, Christopher D. Manning |
| 2002 | ICML | Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach. | Sepandar D. Kamvar, Dan Klein, Christopher D. Manning |
| 2002 | ICML | From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering. | Dan Klein, Sepandar D. Kamvar, Christopher D. Manning |
| 2002 | WWW | Evaluating strategies for similarity search on the web. | Taher H. Haveliwala, Aristides Gionis, Dan Klein, Piotr Indyk |
| 2001 | ACL | Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank. | Dan Klein, Christopher D. Manning |
| 2001 | CoNLL | Distributional phrase structure induction. | Dan Klein, Christopher D. Manning |