← Authors

Noah A. Smith

275 papers · 2002–2025 · 17 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (29) 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (23) 🌍 Conference Polyglot (17) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (9) 🏠 Conference Loyalist (46) πŸ† Keyword Champion (4) 🀝 Dynamic Duo (36) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (50) πŸ”¬ Deep Specialist (27) 🧬 Topic Evolution ❓ The Questioner (14) πŸ—ƒοΈ Keyword Collector (65) πŸš€ Conference Pioneer πŸ’Ž Century Club (275) πŸ”₯ Unstoppable (22) πŸ“ˆ Trend Setter ⚑ Prolific Year (16)

Conferences

EMNLP (77) ACL (75) NAACL (46) IJCNLP (19) NIPS (14) CONLL (11) ICLR (8) SEMEVAL (5) COLING (4) EACL (3) JMLR (3) INTERSPEECH (2) ICML (2) ICCV (2) CVPR (2) CLEAR (1) AAAI (1)

Top co-authors

Chris Dyer (36) Yejin Choi (32) Roy Schwartz (22) Hannaneh Hajishirzi (22) Jungo Kasai (18) Jesse Dodge (16) Luke Zettlemoyer (15) Hao Peng (15) Swabha Swayamdipta (14) Suchin Gururangan (14)

Research topics

Reinforcement Learning (1) Privacy (1) Probability (1) Education (1)

Keywords

language model (33) text generation (15) text classification (13) language modeling (9) natural language inference (9) machine translation (8) attention mechanism (8) recurrent neural network (8) transfer learning (7) natural language processing (7) large language model (7) commonsense reasoning (7) dependency parsing (6) natural language generation (6) multitask learning (6) representation learning (6) low-resource language (5) unsupervised learning (5) model evaluation (5) coreference resolution (5)

Papers

LlamaPIE: Proactive In-Ear Conversation Assistants ACL 2025
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models CVPR 2025
RewardBench: Evaluating Reward Models for Language Modeling NAACL 2025
ComPO: Community Preferences for Language Model Personalization NAACL 2025
Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models NAACL 2025
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation CVPR 2025
DataDecide: How to Predict Best Pretraining Data with Small Experiments ICML 2025
OLMoE: Open Mixture-of-Experts Language Models ICLR 2025
MUSE: Machine Unlearning Six-Way Evaluation for Language Models ICLR 2025
On Linear Representations and Pretraining Data Frequency in Language Models ICLR 2025
Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index EMNLP 2025
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback ACL 2025
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens ACL 2025
How Language Model Hallucinations Can Snowball ICML 2024
Paloma: A Benchmark for Evaluating Language Model Fit NIPS 2024
Evaluating Copyright Takedown Methods for Language Models NIPS 2024
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models NIPS 2024
The Art of Saying No: Contextual Noncompliance in Language Models NIPS 2024
Decoding-Time Language Model Alignment with Multiple Objectives NIPS 2024
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization NIPS 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NIPS 2024
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NIPS 2024
Voices Unheard: NLP Resources and Models for YorΓΉbΓ‘ Regional Dialects EMNLP 2024
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models EMNLP 2024
Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG EMNLP 2024
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals EMNLP 2024
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging EMNLP 2024
CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks EMNLP 2024
Summarization-Based Document IDs for Generative Retrieval with Language Models EMNLP 2024
In-Context Pretraining: Language Modeling Beyond Document Boundaries ICLR 2024
What's In My Big Data? ICLR 2024
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore ICLR 2024
A Call for Clarity in Beam Search: How It Works and When It Stops COLING 2024
Estimating the Causal Effect of Early ArXiving on Paper Acceptance CLEAR 2024
Elaboration-Generating Commonsense Question Answering at Scale ACL 2023
LEXPLAIN: Improving Model Explanations via Lexicon Supervision ACL 2023
Reproducibility in NLP: What Have We Learned from the Checklist? ACL 2023
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3 ICCV 2023
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering ICCV 2023
Selective Annotation Makes Language Models Better Few-Shot Learners ICLR 2023
Binding Language Models in Symbolic Languages ICLR 2023
RealTime QA: What's the Answer Right Now? NIPS 2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training NIPS 2023
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors ACL 2023
Stubborn Lexical Bias in Data and Models ACL 2023
Risks and NLP Design: A Case Study on Procedural Document QA ACL 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions ACL 2023
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources NIPS 2023
One Embedder, Any Task: Instruction-Finetuned Text Embeddings ACL 2023
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference ACL 2023
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text ACL 2022
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers EMNLP 2022
Time Waits for No One! Analysis and Challenges of Temporal Misalignment NAACL 2022
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection NAACL 2022
DEMix Layers: Disentangling Domains for Modular Language Modeling NAACL 2022
Modeling Context With Linear Attention for Scalable Document-Level Translation EMNLP 2022
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand NAACL 2022
Transparent Human Evaluation for Image Captioning NAACL 2022
Twist Decoding: Diverse Generators Guide Each Other EMNLP 2022
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics NAACL 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models EMNLP 2022
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection EMNLP 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation EMNLP 2022
Unsupervised Learning of Hierarchical Conversation Structure EMNLP 2022
In-Context Learning for Few-Shot Dialogue State Tracking EMNLP 2022
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation EMNLP 2022
Generating Scientific Definitions with Controllable Complexity ACL 2022
ABC: Attention with Bounded-memory Control ACL 2022
Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021
Specializing Multilingual Language Models: An Empirical Study EMNLP 2021
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers NAACL 2021
Choose Your Own Adventure: Paired Suggestions in Collaborative Writing for Evaluating Story Generation Models NAACL 2021
Promoting Graph Awareness in Linearized Graph-to-Text Generation IJCNLP 2021
Explaining Relationships Between Scientific Documents ACL 2021
Shortformer: Better Language Modeling using Shorter Inputs ACL 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ACL 2021
All That’s β€˜Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text ACL 2021
Promoting Graph Awareness in Linearized Graph-to-Text Generation ACL 2021
All That’s β€˜Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text IJCNLP 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts IJCNLP 2021
Shortformer: Better Language Modeling using Shorter Inputs IJCNLP 2021
Explaining Relationships Between Scientific Documents IJCNLP 2021
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent EMNLP 2021
Competency Problems: On Finding and Removing Artifacts in Language Data EMNLP 2021
Sentence Bottleneck Autoencoders from Transformer Language Models EMNLP 2021
Measuring Association Between Labels and Free-Text Rationales EMNLP 2021
Finetuning Pretrained Transformers into RNNs EMNLP 2021
Probing Across Time: What Does RoBERTa Know and When? EMNLP 2021
A Mixture of h - 1 Heads is Better than h Heads ACL 2020
Thinking Like a Skeptic: Defeasible Inference in Natural Language EMNLP 2020
The Right Tool for the Job: Matching Model and Instance Complexities ACL 2020
Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks ACL 2020
Exploring the Effect of Author and Reader Identity in Online Story Writing: the STORIESINTHEWILD Corpus. ACL 2020
Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020
Plug and Play Autoencoders for Conditional Text Generation EMNLP 2020
Writing Strategies for Science Communication: Data and Computational Analysis EMNLP 2020
Multilevel Text Alignment with Cross-Document Attention EMNLP 2020
The Multilingual Amazon Reviews Corpus EMNLP 2020
Grounded Compositional Outputs for Adaptive Language Modeling EMNLP 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs EMNLP 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models EMNLP 2020
A Formal Hierarchy of RNN Architectures ACL 2020
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models ACL 2020
Improving Transformer Models by Reordering their Sublayers ACL 2020
Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank EMNLP 2020
Social Bias Frames: Reasoning about Social and Power Implications of Language ACL 2020
Knowledge Enhanced Contextual Word Representations IJCNLP 2019
Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts ACL 2019
Evaluating Gender Bias in Machine Translation ACL 2019
The Risk of Racial Bias in Hate Speech Detection ACL 2019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning IJCNLP 2019
Topics to Avoid: Demoting Latent Confounds in Text Classification IJCNLP 2019
PaLM: A Hybrid Parser and Language Model IJCNLP 2019
Show Your Work: Improved Reporting of Experimental Results IJCNLP 2019
Robust Navigation with Language Pretraining and Stochastic Sampling IJCNLP 2019
RNN Architecture Learning with Sparse Regularization IJCNLP 2019
Low-Resource Parsing with Crosslingual Contextualized Representations CONLL 2019
Is Attention Interpretable? ACL 2019
Linguistic Knowledge and Transferability of Contextual Representations NAACL 2019
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NAACL 2019
Polyglot Contextual Representations Improve Crosslingual Transfer NAACL 2019
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning AAAI 2019
Knowledge Enhanced Contextual Word Representations EMNLP 2019
RNN Architecture Learning with Sparse Regularization EMNLP 2019
Robust Navigation with Language Pretraining and Stochastic Sampling EMNLP 2019
Show Your Work: Improved Reporting of Experimental Results EMNLP 2019
PaLM: A Hybrid Parser and Language Model EMNLP 2019
Topics to Avoid: Demoting Latent Confounds in Text Classification EMNLP 2019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning EMNLP 2019
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks ACL 2019
Variational Pretraining for Semi-supervised Text Classification ACL 2019
Polyglot Semantic Role Labeling ACL 2018
Discovering Phonesthemes with Sparse Regularization NAACL 2018
Parsing Tweets into Universal Dependencies NAACL 2018
LSTMs Exploit Linguistic Attributes of Data ACL 2018
Sounding Board: A User-Centric and Content-Driven Social Chatbot NAACL 2018
Annotation Artifacts in Natural Language Inference Data NAACL 2018
Neural Text Generation in Stories Using Entity Representations as Context NAACL 2018
The Importance of Calibration for Estimating Proportions from Annotations NAACL 2018
Learning Joint Semantic Parsers from Disjoint Data NAACL 2018
Bridging CNNs, RNNs, and Weighted Finite-State Machines ACL 2018
Neural Cross-Lingual Named Entity Recognition with Minimal Resources EMNLP 2018
Rational Recurrences EMNLP 2018
Syntactic Scaffolds for Semantic Structures EMNLP 2018
Event2Mind: Commonsense Inference on Events, Intents, and Reactions ACL 2018
Backpropagating through Structured Argmax using a SPIGOT ACL 2018
Neural Models for Documents with Metadata ACL 2018
Deep Multitask Learning for Semantic Dependency Parsing ACL 2017
Dynamic Entity Representations in Neural Language Models EMNLP 2017
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL 2017
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task CONLL 2017
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts ACL 2017
Multitask Learning with CTC and Segmental CRF for Speech Recognition INTERSPEECH 2017
Neural Discourse Structure for Text Categorization ACL 2017
Analyzing Framing through the Casts of Characters in the News EMNLP 2016
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss SEMEVAL 2016
Segmental Recurrent Neural Networks for End-to-End Speech Recognition INTERSPEECH 2016
Semi-Supervised Learning of Sequence Models with Method of Moments EMNLP 2016
Recurrent Neural Network Grammars NAACL 2016
Generation from Abstract Meaning Representation using Tree Transducers NAACL 2016
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs CONLL 2016
Training with Exploration Improves a Greedy Stack LSTM Parser EMNLP 2016
Character Sequence Models for Colorful Words EMNLP 2016
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser EMNLP 2016
Friends with Motives: Using Text to Infer Influence on SCOTUS EMNLP 2016
UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields SEMEVAL 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ACL 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) ACL 2016
The Media Frames Corpus: Annotations of Frames Across Issues IJCNLP 2015
Transition-Based Dependency Parsing with Stack Long Short-Term Memory ACL 2015
Sparse Overcomplete Word Vector Representations ACL 2015
Frame-Semantic Role Labeling with Heterogeneous Annotations ACL 2015
The Media Frames Corpus: Annotations of Frames Across Issues ACL 2015
A Supertag-Context Model for Weakly-Supervised CCG Parser Learning CONLL 2015
Open Extraction of Fine-Grained Political Statements EMNLP 2015
Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs EMNLP 2015
A Utility Model of Authors in the Scientific Community EMNLP 2015
Extractive Summarization by Maximizing Semantic Volume EMNLP 2015
Bayesian Optimization of Text Representations EMNLP 2015
Transition-Based Dependency Parsing with Stack Long Short-Term Memory IJCNLP 2015
Sparse Overcomplete Word Vector Representations IJCNLP 2015
Frame-Semantic Role Labeling with Heterogeneous Annotations IJCNLP 2015
AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models JMLR 2015
Transforming Dependencies into Phrase Structures NAACL 2015
Toward Abstractive Summarization Using Semantic Representations NAACL 2015
A Corpus and Model Integrating Multiword Expressions and Supersenses NAACL 2015
Retrofitting Word Vectors to Semantic Lexicons NAACL 2015
A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements COLING 2014
Simplified Dependency Annotations with GFL-Web ACL 2014
Distributed Representations of Geographically Situated Language ACL 2014
A Bayesian Mixed Effects Model of Literary Character ACL 2014
Linguistic Structured Sparsity in Text Categorization ACL 2014
A Discriminative Graph-Based Parser for the Abstract Meaning Representation ACL 2014
Conditional Random Field Autoencoders for Unsupervised Structured Prediction NIPS 2014
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing SEMEVAL 2014
A Dependency Parser for Tweets EMNLP 2014
Weakly-Supervised Bayesian Learning of a CCG Supertagger CONLL 2014
Unsupervised Alignment of Privacy Policies using Hidden Markov Models ACL 2014
Measuring Ideological Proportions in Political Speeches EMNLP 2013
Supersense Tagging for Arabic: the MT-in-the-Middle Attack NAACL 2013
A Simple, Fast, and Effective Reparameterization of IBM Model 2 NAACL 2013
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters NAACL 2013
Translating into Morphologically Rich Languages with Synthetic Phrases EMNLP 2013
Learning Topics and Positions from Debatepedia EMNLP 2013
Learning Latent Personas of Film Characters ACL 2013
Discrete Log-Linear Autoencoders for Unsupervised Learning of Linguistic Structure EMNLP 2013
Learning to Extract International Relations from Political Context ACL 2013
Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers ACL 2013
Knowledge-Rich Morphological Priors for Bayesian Language Models NAACL 2013
Concavity and Initialization for Unsupervised Dependency Parsing NAACL 2012
Word Salad: Relating Food Prices and Descriptions EMNLP 2012
Discovering Factions in the Computational Linguistics Community ACL 2012
A Probabilistic Model for Canonicalizing Named Entity Mentions ACL 2012
Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study ACL 2012
Recall-Oriented Learning of Named Entities in Arabic Wikipedia EACL 2012
An Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints SEMEVAL 2012
Word Salad: Relating Food Prices and Descriptions CONLL 2012
Structured Sparsity in Natural Language Processing: Models, Algorithms and Applications NAACL 2012
Textual Predictors of Bill Survival in Congressional Committees NAACL 2012
Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties NAACL 2012
Structured Ramp Loss Minimization for Machine Translation NAACL 2012
Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance EMNLP 2011
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability ACL 2011
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments ACL 2011
Semi-Supervised Frame-Semantic Parsing for Unknown Predicates ACL 2011
Discovering Sociolinguistic Associations with Structured Sparsity ACL 2011
Unsupervised Word Alignment with Arbitrary Features ACL 2011
Predicting a Scientific Community’s Response to an Article EMNLP 2011
Quasi-Synchronous Phrase Dependency Grammars for Machine Translation EMNLP 2011
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions NAACL 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
Probabilistic Frame-Semantic Parsing NAACL 2010
Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions NAACL 2010
Covariance in Unsupervised Learning of Probabilistic Grammars JMLR 2010
Good Question! Statistical Ranking for Question Generation NAACL 2010
Variational Inference for Adaptor Grammars NAACL 2010
Nonparametric Word Segmentation for Machine Translation COLING 2010
Movie Reviews and Revenues: An Experiment in Text Regression NAACL 2010
SEMAFOR: Frame Argument Resolution with Log-Linear Models SEMEVAL 2010
Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization ACL 2010
A Latent Variable Model for Geographic Lexical Variation EMNLP 2010
Distributed Asynchronous Online Learning for Natural Language Processing CONLL 2010
Nonextensive Information Theoretic Kernels on Measures JMLR 2009
Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings EACL 2009
Leveraging Structural Relations for Fluent Compressions at Multiple Compression Rates IJCNLP 2009
Variational Inference for Grammar Induction with Prior Knowledge IJCNLP 2009
Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition IJCNLP 2009
Feature-Rich Translation by Quasi-Synchronous Lattice Parsing EMNLP 2009
Leveraging Structural Relations for Fluent Compressions at Multiple Compression Rates ACL 2009
Variational Inference for Grammar Induction with Prior Knowledge ACL 2009
Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition ACL 2009
Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction NAACL 2009
Preference Grammars: Softening Syntactic Constraints to Improve Statistical Machine Translation NAACL 2009
Predicting Risk from Financial Reports with Regression NAACL 2009
Predicting Response to Political Blog Posts with Topic Models NAACL 2009
Stacking Dependency Parsers EMNLP 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA EMNLP 2007
Joint Morphological and Syntactic Disambiguation CONLL 2007
Probabilistic Models of Nonprojective Dependency Trees CONLL 2007
What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA CONLL 2007
Probabilistic Models of Nonprojective Dependency Trees EMNLP 2007
Joint Morphological and Syntactic Disambiguation EMNLP 2007
Computationally Efficient M-Estimation of Log-Linear Structure Models ACL 2007
Vine Parsing and Minimum Risk Reranking for Speed and Precision CONLL 2006
Annealing Structural Bias in Multilingual Weighted Grammar Induction COLING 2006
Annealing Structural Bias in Multilingual Weighted Grammar Induction ACL 2006
Contrastive Estimation: Training Log-Linear Models on Unlabeled Data ACL 2005
Context-Based Morphological Disambiguation with Random Fields EMNLP 2005
Compiling Comp Ling: Weighted Dynamic Programming and the Dyna Language EMNLP 2005
Annealing Techniques For Unsupervised Statistical Language Learning ACL 2004
Bilingual Parsing with Factored Estimation: Using English to Parse Korean EMNLP 2004
Dyna: A Language for Weighted Dynamic Programming ACL 2004
From Words to Corpora: Recognizing Translation EMNLP 2002