Dan Klein

Orcid: 0000-0002-8881-1902

According to our database1, Dan Klein authored at least 233 papers between 2001 and 2024.

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Bibliography

2024
What Evidence Do Language Models Find Convincing?
CoRR, 2024

Prompted Contextual Vectors for Spear-Phishing Detection.
CoRR, 2024

2023
Comparative Multi-View Language Grounding.
CoRR, 2023

Learning to Model the World with Language.
CoRR, 2023

RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment.
CoRR, 2023

Ghostbuster: Detecting Text Ghostwritten by Large Language Models.
CoRR, 2023

An Ontology-Driven Approach for Process-Aware Risk Propagation.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

On the Semantics of Risk Propagation.
Proceedings of the Research Challenges in Information Science: Information Science and the Connected World, 2023

Goal Driven Discovery of Distributional Differences via Language Descriptions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Poisoning Language Models During Instruction Tuning.
Proceedings of the International Conference on Machine Learning, 2023

Discovering Latent Knowledge in Language Models Without Supervision.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Can Language Models Learn to Listen?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Boosting D3FEND: Ontological Analysis and Recommendations.
Proceedings of the Formal Ontology in Information Systems, 2023

Inferring Ontological Categories of OWL Classes Using Foundational Rules.
Proceedings of the Formal Ontology in Information Systems, 2023

Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Pacing in Long-Form Story Planning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Revisiting Entropy Rate Constancy in Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Decomposing Complex Queries for Tip-of-the-tongue Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Incorporating Worker Perspectives into MTurk Annotation Practices for NLP.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DOC: Improving Long Story Coherence With Detailed Outline Control.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Modular Visual Question Answering via Code Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

PREADD: Prefix-Adaptive Decoding for Controlled Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Neural Unsupervised Reconstruction of Protolanguage Word Forms.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Towards an Ontology-Driven Approach for Process-Aware Risk Propagation.
CoRR, 2022

Does unsupervised grammar induction need pixels?
CoRR, 2022

Learning by Distilling Context.
CoRR, 2022

Active Programming by Example with a Natural Language Prior.
CoRR, 2022

Summarizing Differences between Text Distributions with Natural Language.
CoRR, 2022

Describing Differences between Text Distributions with Natural Language.
Proceedings of the International Conference on Machine Learning, 2022

Re3: Generating Longer Stories With Recursive Reprompting and Revision.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Automated Crossword Solving.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Understanding Game-Playing Agents with Natural Language Annotations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Inferring Rewards from Language in Context.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Learned Incremental Representations for Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Voxel-informed Language Grounding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Meta-tuning Language Models to Answer Prompts Better.
CoRR, 2021

Approximating How Single Head Attention Learns.
CoRR, 2021

Calibrate Before Use: Improving Few-Shot Performance of Language Models.
CoRR, 2021

Learning Space Partitions for Path Planning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

FUDGE: Controlled Text Generation With Future Discriminators.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Detoxifying Language Models Risks Marginalizing Minority Voices.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Modular Networks for Compositional Instruction Following.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Constructing Taxonomies from Pretrained Language Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Calibrate Before Use: Improving Few-shot Performance of Language Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Constrained Language Models Yield Few-Shot Semantic Parsers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Reference-Centric Models for Grounded Collaborative Dialogue.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Value-Agnostic Conversational Semantic Parsing.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

An Improved Model for Voicing Silent Speech.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Task-Oriented Dialogue as Dataflow Synthesis.
Trans. Assoc. Comput. Linguistics, 2020

Inducing Taxonomic Knowledge from Pretrained Transformers.
CoRR, 2020

Modularity Improves Out-of-Domain Instruction Following.
CoRR, 2020

Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.
CoRR, 2020

Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.
Proceedings of the 37th International Conference on Machine Learning, 2020

Multilingual Alignment of Contextual Word Representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Semantic Evaluation for Text-to-SQL with Distilled Test Suites.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Streaming Approach For Efficient Batched Beam Search.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Digital Voicing of Silent Speech.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Unsupervised Parsing via Constituency Tests.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Semantic Scaffolds for Pseudocode-to-Code Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Pragmatically Informative Text Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Deep Factorization of Style and Structure in Fonts.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multilingual Constituency Parsing with Self-Attention and Pre-Training.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-Domain Generalization of Neural Constituency Parsers.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Multilingual Constituency Parsing with Self-Attention and Pre-Training.
CoRR, 2018

Speaker-Follower Models for Vision-and-Language Navigation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

What's Going On in Neural Constituency Parsers? An Analysis.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Unified Pragmatic Models for Generating and Following Instructions.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning with Latent Language.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Constituency Parsing with a Self-Attentive Encoder.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Parsing with Traces: An O(n^4) Algorithm and a Structural Representation.
Trans. Assoc. Comput. Linguistics, 2017

Modular Multitask Reinforcement Learning with Policy Sketches.
Proceedings of the 34th International Conference on Machine Learning, 2017

Effective Inference for Generative Neural Parsing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Analogs of Linguistic Structure in Deep Representations.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Minimal Span-Based Neural Constituency Parser.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Abstract Syntax Networks for Code Generation and Semantic Parsing.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Fine-Grained Entity Typing with High-Multiplicity Assignments.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Improving Neural Parsing by Disentangling Model Combination and Reranking Effects.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Translating Neuralese.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks.
Proceedings of the NAACL HLT 2016, 2016

Learning to Compose Neural Networks for Question Answering.
Proceedings of the NAACL HLT 2016, 2016

Reasoning about Pragmatics with Neural Listeners and Speakers.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Neural Module Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Deep Compositional Question Answering with Neural Module Networks.
CoRR, 2015

On the Accuracy of Self-Normalized Log-Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Unsupervised Code-Switching for Multilingual Historical Document Transcription.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Disfluency Detection with a Semi-Markov Model and Prosodic Features.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

GPU-Friendly Local Regression for Voice Conversion.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

When and why are log-linear models self-normalizing?
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

An Empirical Analysis of Optimization for Max-Margin NLP.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Alignment-Based Compositional Semantics for Instruction Following.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Neural CRF Parsing.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
A Joint Model for Entity Analysis: Coreference, Typing, and Linking.
Trans. Assoc. Comput. Linguistics, 2014

Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor.
Cogn. Sci., 2014

Unsupervised Transcription of Piano Music.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Grounding Language with Points and Paths in Continuous Spaces.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

Less Grammar, More Features.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Sparser, Better, Faster GPU Parsing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Improved Typesetting Models for Historical OCR.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Structured Learning for Taxonomy Induction with Belief Propagation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

How much do word embeddings encode about syntax?
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Automated reconstruction of ancient languages using probabilistic models of sound change.
Proc. Natl. Acad. Sci. USA, 2013

Learning Dependency-Based Compositional Semantics.
Comput. Linguistics, 2013

Grounding spatial relations for human-robot interaction.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Error-Driven Analysis of Challenges in Coreference Resolution.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Easy Victories and Uphill Battles in Coreference Resolution.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Multi-Teraflop Constituency Parser using GPUs.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Decipherment with a Million Random Restarts.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Faster Optimal Planning with Partial-Order Pruning.
Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, 2013

An Empirical Examination of Challenges in Chinese Parsing.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Decentralized Entity-Level Modeling for Coreference Resolution.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Unsupervised Transcription of Historical Documents.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Variational Inference for Structured NLP Models.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Fast Inference in Phrase Extraction Models with Belief Propagation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Training Factored PCFGs with Expectation Propagation.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Syntactic Transfer Using a Bilingual Lexicon.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Transforming Trees to Improve Syntactic Convergence.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

An Empirical Investigation of Statistical Significance in NLP.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Large-Scale Syntactic Language Modeling with Treelets.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Robust Conversion of CCG Derivations to Phrase Structure Trees.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Coreference Semantics from Web Features.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Large-Scale Cognate Recovery.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Simple Effective Decipherment via Combinatorial Optimization.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Mention Detection: Heuristics for the OntoNotes annotations.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

Faster and Smaller N-Gram Language Models.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

An Empirical Investigation of Discounting in Cross-Domain Language Models.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Jointly Learning to Extract and Compress.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

The Surprising Variance in Shortest-Derivation Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Web-Scale Features for Full-Scale Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Optimal Graph Search with Iterated Graph Cuts.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Unsupervised Syntactic Alignment with Inversion Transduction Grammars.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Type-Based MCMC.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Coreference Resolution in a Modular, Entity-Centered Model.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Joint Parsing and Alignment with Weakly Synchronized Grammars.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Painless Unsupervised Learning with Features.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Learning Programs: A Hierarchical Bayesian Approach.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A Game-Theoretic Approach to Generating Spatial Descriptions.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

A Simple Domain-Independent Probabilistic Approach to Generation.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Model AI Assignments.
Proceedings of the First Symposium on Education Advances in Artificial Intelligence, 2010

Teaching Introductory Artificial Intelligence with Pac-Man.
Proceedings of the First Symposium on Education Advances in Artificial Intelligence, 2010

Learning Better Monolingual Models with Unannotated Bilingual Text.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

Top-Down K-Best A* Parsing.
Proceedings of the ACL 2010, 2010

Hierarchical A* Parsing with Bridge Outside Scores.
Proceedings of the ACL 2010, 2010

Finding Cognate Groups Using Phylogenies.
Proceedings of the ACL 2010, 2010

An Entity-Level Approach to Information Extraction.
Proceedings of the ACL 2010, 2010

Discriminative Modeling of Extraction Sets for Machine Translation.
Proceedings of the ACL 2010, 2010

Phylogenetic Grammar Induction.
Proceedings of the ACL 2010, 2010

Simple, Accurate Parsing with an All-Fragments Grammar.
Proceedings of the ACL 2010, 2010

2009
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Hierarchical Search for Parsing.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Online EM for Unsupervised Models.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Efficient Parsing for Transducer Grammars.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Improved Reconstruction of Protolanguage Word Forms.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Learning from measurements in exponential families.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Consensus Training for Consensus Decoding in Machine Translation.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Simple Coreference Resolution with Rich Syntactic and Semantic Features.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

K-Best A* Parsing.
Proceedings of the ACL 2009, 2009

Learning Semantic Correspondences with Less Supervision.
Proceedings of the ACL 2009, 2009

Better Word Alignments with Supervised ITG Models.
Proceedings of the ACL 2009, 2009

Asynchronous Binarization for Synchronous Grammars.
Proceedings of the ACL 2009, 2009

2008
Efficient sentence segmentation using syntactic features.
Proceedings of the 2008 IEEE Spoken Language Technology Workshop, 2008

Efficient Inference in Phylogenetic InDel Trees.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Fully distributed EM for very large datasets.
Proceedings of the Machine Learning, 2008

Structure compilation: trading structure for features.
Proceedings of the Machine Learning, 2008

Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Coarse-to-Fine Syntactic Machine Translation using Language Projections.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Sampling Alignment Structure under a Bayesian Translation Model.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Two Languages are Better than One (for Syntactic Parsing).
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Unsupervised Learning for Natural Language Processing.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

Analyzing the Errors of Unsupervised Learning.
Proceedings of the ACL 2008, 2008

Learning Bilingual Lexicons from Monolingual Corpora.
Proceedings of the ACL 2008, 2008

The Complexity of Phrase Alignment Problems.
Proceedings of the ACL 2008, 2008

2007
Mixture-of-Parents Maximum Entropy Markov Models.
Proceedings of the UAI 2007, 2007

Discriminative Log-Linear Grammars with Latent Variables.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Agreement-Based Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Probabilistic Approach to Language Change.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Improved Inference for Unlexicalized Parsing.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Introduction to Classification: Likelihoods, Margins, Features, and Kernels.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Approximate Factoring for A* Search.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Learning Structured Models for Phone Recognition.
Proceedings of the EMNLP-CoNLL 2007, 2007

The Infinite PCFG Using Hierarchical Dirichlet Processes.
Proceedings of the EMNLP-CoNLL 2007, 2007

A Probabilistic Approach to Diachronic Phonology.
Proceedings of the EMNLP-CoNLL 2007, 2007

Unsupervised Coreference Resolution in a Nonparametric Bayesian Model.
Proceedings of the ACL 2007, 2007

Tailoring Word Alignments to Syntactic Machine Translation.
Proceedings of the ACL 2007, 2007

Learning and Inference for Hierarchically Split PCFGs.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

A* Search via Approximate Factoring.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Why Generative Phrase Models Underperform Surface Heuristics.
Proceedings of the Proceedings on the Workshop on Statistical Machine Translation, 2006

Detecting Categories in News Video Using Acoustic, Speech, and Image Features.
Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

Alignment by Agreement.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Word Alignment via Quadratic Assignment.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Prototype-Driven Learning for Sequence Models.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Non-Local Modeling with a Mixture of PCFGs.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

Learning Accurate, Compact, and Interpretable Tree Annotation.
Proceedings of the ACL 2006, 2006

An End-to-End Discriminative Approach to Machine Translation.
Proceedings of the ACL 2006, 2006

Prototype-Driven Grammar Induction.
Proceedings of the ACL 2006, 2006

2005
The unsupervised learning of natural language structure.
PhD thesis, 2005

Natural language grammar induction with a generative constituent-context model.
Pattern Recognit., 2005

Application of Information Technology: Improved Identification of Noun Phrases in Clinical Radiology Reports Using a High-Performance Statistical Natural Language Parser Augmented with the UMLS Specialist Lexicon.
J. Am. Medical Informatics Assoc., 2005

A Discriminative Matching Approach to Word Alignment.
Proceedings of the HLT/EMNLP 2005, 2005

Unsupervised Learning of Field Segmentation Models for Information Extraction.
Proceedings of the ACL 2005, 2005

2004
Data-Oriented Parsing edited by Rens BodRemko SchaRemko Scha.
Comput. Linguistics, 2004

Max-Margin Parsing.
Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Optimization, Maxent Models, and Conditional Estimation without Magic.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

A* Parsing: Fast Exact Viterbi Parse Selection.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Factored A<sup>*</sup> Search for Models over Sequences and Trees.
Proceedings of the IJCAI-03, 2003

Spectral Learning.
Proceedings of the IJCAI-03, 2003

Named Entity Recognition with Character-Level Models.
Proceedings of the Seventh Conference on Natural Language Learning, 2003

Accurate Unlexicalized Parsing.
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 2003

2002
Evaluating strategies for similarity search on the web.
Proceedings of the Eleventh International World Wide Web Conference, 2002

Combining Heterogeneous Classifiers for Word Sense Disambiguation.
Proceedings of the ACL Workshop on Word Sense Disambiguation: Recent Successes and Future Directions, 2002

Fast Exact Inference with a Factored Model for Natural Language Parsing.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering.
Proceedings of the Machine Learning, 2002

Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach.
Proceedings of the Machine Learning, 2002

Conditional Structure versus Conditional Estimation in NLP Models.
Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, 2002

A Generative Constituent-Context Model for Improved Grammar Induction.
Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, 2002

2001
Natural Language Grammar Induction Using a Constituent-Context Model.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Parsing and Hypergraphs.
Proceedings of the Seventh International Workshop on Parsing Technologies (IWPT-2001), 2001

Distributional phrase structure induction.
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning, 2001

Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank.
Proceedings of the Association for Computational Linguistic, 2001


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