Dan Klein
196 papers · 2001–2025 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (154) π Conference Polyglot Β· Gold π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π
Conference Loyalist
(74)
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Deep Specialist
(11)
π€
Dynamic Duo
(19)
π
Triple Crown
π
Keyword Trendsetter Combo
(16)
π§¬
Topic Evolution
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Diamond
β
The Questioner
(10)
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Renaissance Researcher
(11)
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Century Club Β· Gold
ποΈ
Keyword Collector
(466)
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Prolific Year Β· Prolific
Venues
Top co-authors
Research topics
Artificial Intelligence
(55)
Natural Language Processing
(50)
Core AI
(48)
Machine Learning
(47)
Deep Learning
(30)
Learning Types Β· Machine Learning
(25)
Applications
(21)
Generation
(17)
Core Methods
(16)
Learning Types Β· Deep Learning
(16)
Understanding
(16)
Application Areas
(15)
Interdisciplinary
(12)
Optimization & Theory
(11)
Resources & Methods
(11)
Keywords
large language model
(12)
language model
(10)
constituency parsing
(10)
neural network
(9)
unsupervised learning
(6)
syntactic parsing
(5)
instruction following
(5)
multimodal learning
(5)
semantic parsing
(4)
natural language understanding
(4)
probabilistic model
(4)
text generation
(3)
prompt engineering
(3)
pre-trained language model
(3)
distribution shift
(3)
language grounding
(3)
reward function
(3)
code generation
(3)
reinforcement learning
(3)
bayesian inference
(3)
Papers
Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions
EMNLP 2025
Enough Coin Flips Can Make LLMs Act Bayesian
ACL 2025
FactTrack: Time-Aware World State Tracking in Story Outlines
NAACL 2025
LangProBe: a Language Program Benchmark
EMNLP 2025
Pose Priors from Language Models
CVPR 2025
ThoughtSculpt: Reasoning with Intermediate Revision and Search
NAACL 2025
American Sign Language Handshapes Reflect Pressures for Communicative Efficiency
ACL 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
NeurIPS 2024
Ghostbuster: Detecting Text Ghostwritten by Large Language Models
NAACL 2024
Inferring Ontological Categories of OWL Classes Using Foundational RulesΒ (Extended Abstract)
IJCAI 2024
Learning to Model the World With Language
ICML 2024
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination
EMNLP 2024
Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction
NAACL 2024
RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment
ICLR 2024
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
NAACL 2024
What Evidence Do Language Models Find Convincing?
ACL 2024
Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding
NAACL 2024
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
ACL 2023
Can Language Models Learn to Listen?
ICCV 2023
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection
EMNLP 2023
Decomposing Complex Queries for Tip-of-the-tongue Retrieval
EMNLP 2023
Discovering Latent Knowledge in Language Models Without Supervision
ICLR 2023
DOC: Improving Long Story Coherence With Detailed Outline Control
ACL 2023
Goal Driven Discovery of Distributional Differences via Language Descriptions
NeurIPS 2023
Improving Pacing in Long-Form Story Planning
EMNLP 2023
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP
EMNLP 2023
Modular Visual Question Answering via Code Generation
ACL 2023
Neural Unsupervised Reconstruction of Protolanguage Word Forms
ACL 2023
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL
EMNLP 2023
Poisoning Language Models During Instruction Tuning
ICML 2023
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation
ACL 2023
Revisiting Entropy Rate Constancy in Text
EMNLP 2023
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
ACL 2023
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
EMNLP 2023
Automated Crossword Solving
ACL 2022
Describing Differences between Text Distributions with Natural Language
ICML 2022
Inferring Rewards from Language in Context
ACL 2022
Learned Incremental Representations for Parsing
ACL 2022
Re3: Generating Longer Stories With Recursive Reprompting and Revision
EMNLP 2022
Understanding Game-Playing Agents with Natural Language Annotations
ACL 2022
Voxel-informed Language Grounding
ACL 2022
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
EMNLP 2021
An Improved Model for Voicing Silent Speech
ACL 2021
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
ACL 2021
Calibrate Before Use: Improving Few-shot Performance of Language Models
ICML 2021
Constrained Language Models Yield Few-Shot Semantic Parsers
EMNLP 2021
Constructing Taxonomies from Pretrained Language Models
NAACL 2021
Detoxifying Language Models Risks Marginalizing Minority Voices
NAACL 2021
FUDGE: Controlled Text Generation With Future Discriminators
NAACL 2021
Interactive Assignments for Teaching Structured Neural NLP
NAACL 2021
Learning Space Partitions for Path Planning
NeurIPS 2021
Modular Networks for Compositional Instruction Following
NAACL 2021
Reference-Centric Models for Grounded Collaborative Dialogue
EMNLP 2021
Value-Agnostic Conversational Semantic Parsing
ACL 2021
A Streaming Approach For Efficient Batched Beam Search
EMNLP 2020
Digital Voicing of Silent Speech
EMNLP 2020
Multilingual Alignment of Contextual Word Representations
ICLR 2020
Semantic Evaluation for Text-to-SQL with Distilled Test Suites
EMNLP 2020
Semantic Scaffolds for Pseudocode-to-Code Generation
ACL 2020
Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference
ACL 2020
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
ICML 2020
Unsupervised Parsing via Constituency Tests
EMNLP 2020
A Deep Factorization of Style and Structure in Fonts
EMNLP 2019
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation
ACL 2019
Cross-Domain Generalization of Neural Constituency Parsers
ACL 2019
Multilingual Constituency Parsing with Self-Attention and Pre-Training
ACL 2019
Pragmatically Informative Text Generation
NAACL 2019
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
ACL 2019
Constituency Parsing with a Self-Attentive Encoder
ACL 2018
Learning with Latent Language
NAACL 2018
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
ACL 2018
Speaker-Follower Models for Vision-and-Language Navigation
NeurIPS 2018
Unified Pragmatic Models for Generating and Following Instructions
NAACL 2018
Whatβs Going On in Neural Constituency Parsers? An Analysis
NAACL 2018
Abstract Syntax Networks for Code Generation and Semantic Parsing
ACL 2017
A Minimal Span-Based Neural Constituency Parser
ACL 2017
Analogs of Linguistic Structure in Deep Representations
EMNLP 2017
Effective Inference for Generative Neural Parsing
EMNLP 2017
Fine-Grained Entity Typing with High-Multiplicity Assignments
ACL 2017
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects
ACL 2017
Modular Multitask Reinforcement Learning with Policy Sketches
ICML 2017
Translating Neuralese
ACL 2017
Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space
EMNLP 2017
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
NAACL 2016
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
ACL 2016
Learning to Compose Neural Networks for Question Answering
NAACL 2016
Neural Module Networks
CVPR 2016
Reasoning about Pragmatics with Neural Listeners and Speakers
EMNLP 2016
Alignment-Based Compositional Semantics for Instruction Following
EMNLP 2015
An Empirical Analysis of Optimization for Max-Margin NLP
EMNLP 2015
Disfluency Detection with a Semi-Markov Model and Prosodic Features
NAACL 2015
GPU-Friendly Local Regression for Voice Conversion
NAACL 2015
Neural CRF Parsing
ACL 2015
On the Accuracy of Self-Normalized Log-Linear Models
NeurIPS 2015
Unsupervised Code-Switching for Multilingual Historical Document Transcription
NAACL 2015
When and why are log-linear models self-normalizing?
NAACL 2015
Grounding Language with Points and Paths in Continuous Spaces
CoNLL 2014
How much do word embeddings encode about syntax?
ACL 2014
Improved Typesetting Models for Historical OCR
ACL 2014
Less Grammar, More Features
ACL 2014
Sparser, Better, Faster GPU Parsing
ACL 2014
Structured Learning for Taxonomy Induction with Belief Propagation
ACL 2014
Unsupervised Transcription of Piano Music
NeurIPS 2014
A Multi-Teraflop Constituency Parser using GPUs
EMNLP 2013
An Empirical Examination of Challenges in Chinese Parsing
ACL 2013
Decentralized Entity-Level Modeling for Coreference Resolution
ACL 2013
Decipherment with a Million Random Restarts
EMNLP 2013
Easy Victories and Uphill Battles in Coreference Resolution
EMNLP 2013
Error-Driven Analysis of Challenges in Coreference Resolution
EMNLP 2013
Unsupervised Transcription of Historical Documents
ACL 2013
Variational Inference for Structured NLP Models
ACL 2013
An Empirical Investigation of Statistical Significance in NLP
EMNLP 2012
Coreference Semantics from Web Features
ACL 2012
Fast Inference in Phrase Extraction Models with Belief Propagation
NAACL 2012
Large-Scale Syntactic Language Modeling with Treelets
ACL 2012
Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output
EMNLP 2012
Robust Conversion of CCG Derivations to Phrase Structure Trees
ACL 2012
Syntactic Transfer Using a Bilingual Lexicon
EMNLP 2012
Training Factored PCFGs with Expectation Propagation
EMNLP 2012
Transforming Trees to Improve Syntactic Convergence
EMNLP 2012
Variational Inference for Structured NLP Models
NAACL 2012
An Empirical Investigation of Discounting in Cross-Domain Language Models
ACL 2011
Faster and Smaller N-Gram Language Models
ACL 2011
Jointly Learning to Extract and Compress
ACL 2011
Large-Scale Cognate Recovery
EMNLP 2011
Learning Dependency-Based Compositional Semantics
ACL 2011
Mention Detection: Heuristics for the OntoNotes annotations
CoNLL 2011
Simple Effective Decipherment via Combinatorial Optimization
EMNLP 2011
The Surprising Variance in Shortest-Derivation Parsing
ACL 2011
Web-Scale Features for Full-Scale Parsing
ACL 2011
A Game-Theoretic Approach to Generating Spatial Descriptions
EMNLP 2010
An Entity-Level Approach to Information Extraction
ACL 2010
A Simple Domain-Independent Probabilistic Approach to Generation
EMNLP 2010
Coreference Resolution in a Modular, Entity-Centered Model
NAACL 2010
Discriminative Modeling of Extraction Sets for Machine Translation
ACL 2010
Finding Cognate Groups Using Phylogenies
ACL 2010
Hierarchical A* Parsing with Bridge Outside Scores
ACL 2010
Joint Parsing and Alignment with Weakly Synchronized Grammars
NAACL 2010
Learning Better Monolingual Models with Unannotated Bilingual Text
CoNLL 2010
Painless Unsupervised Learning with Features
NAACL 2010
Phylogenetic Grammar Induction
ACL 2010
Simple, Accurate Parsing with an All-Fragments Grammar
ACL 2010
Top-Down K-Best A* Parsing
ACL 2010
Type-Based MCMC
NAACL 2010
Unsupervised Syntactic Alignment with Inversion Transduction Grammars
NAACL 2010
Asynchronous Binarization for Synchronous Grammars
ACL 2009
Better Word Alignments with Supervised ITG Models
ACL 2009
Consensus Training for Consensus Decoding in Machine Translation
EMNLP 2009
Efficient Parsing for Transducer Grammars
NAACL 2009
Hierarchical Search for Parsing
NAACL 2009
Improved Reconstruction of Protolanguage Word Forms
NAACL 2009
K-Best A* Parsing
ACL 2009
Learning Semantic Correspondences with Less Supervision
ACL 2009
Online EM for Unsupervised Models
NAACL 2009
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
NeurIPS 2009
Simple Coreference Resolution with Rich Syntactic and Semantic Features
EMNLP 2009
Analyzing the Errors of Unsupervised Learning
ACL 2008
Coarse-to-Fine Syntactic Machine Translation using Language Projections
EMNLP 2008
Efficient Inference in Phylogenetic InDel Trees
NeurIPS 2008
Learning Bilingual Lexicons from Monolingual Corpora
ACL 2008
Sampling Alignment Structure under a Bayesian Translation Model
EMNLP 2008
Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing
EMNLP 2008
The Complexity of Phrase Alignment Problems
ACL 2008
Two Languages are Better than One (for Syntactic Parsing)
EMNLP 2008
Agreement-Based Learning
NeurIPS 2007
Approximate Factoring for A* Search
NAACL 2007
A Probabilistic Approach to Diachronic Phonology
EMNLP 2007
A Probabilistic Approach to Language Change
NeurIPS 2007
Discriminative Log-Linear Grammars with Latent Variables
NeurIPS 2007
Improved Inference for Unlexicalized Parsing
NAACL 2007
Introduction to Classification: Likelihoods, Margins, Features, and Kernels
NAACL 2007
Learning Structured Models for Phone Recognition
EMNLP 2007
Tailoring Word Alignments to Syntactic Machine Translation
ACL 2007
The Infinite PCFG Using Hierarchical Dirichlet Processes
EMNLP 2007
Unsupervised Coreference Resolution in a Nonparametric Bayesian Model
ACL 2007
Alignment by Agreement
NAACL 2006
An End-to-End Discriminative Approach to Machine Translation
ACL 2006
Learning Accurate, Compact, and Interpretable Tree Annotation
ACL 2006
Non-Local Modeling with a Mixture of PCFGs
CoNLL 2006
Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)
CoNLL 2006
Prototype-Driven Grammar Induction
ACL 2006
Prototype-Driven Learning for Sequence Models
NAACL 2006
Word Alignment via Quadratic Assignment
NAACL 2006
A Discriminative Matching Approach to Word Alignment
EMNLP 2005
Unsupervised Learning of Field Segmentation Models for Information Extraction
ACL 2005
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency
ACL 2004
Max-Margin Parsing
EMNLP 2004
Accurate Unlexicalized Parsing
ACL 2003
A* Parsing: Fast Exact Viterbi Parse Selection
NAACL 2003
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
NAACL 2003
Named Entity Recognition with Character-Level Models
CoNLL 2003
Optimization, Maxent Models, and Conditional Estimation without Magic
NAACL 2003
A Generative Constituent-Context Model for Improved Grammar Induction
ACL 2002
Conditional Structure versus Conditional Estimation in NLP Models
EMNLP 2002
Distributional phrase structure induction
CoNLL 2001
Parsing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Penn Treebank
ACL 2001