Hal Daumé

发表

Induction of Word and Phrase Alignments for Automatic Document Summarization

Daniel Marcu, Hal Daumé, D. Marcu, 2005, CL.

On Correcting Inputs: Inverse Optimization for Online Structured Prediction pdf

Samir Khuller, Manish Purohit, Hal Daumé, 2015, FSTTCS.

Content Selection in Deep Learning Models of Summarization

Kathleen McKeown, Hal Daumé, Chris Kedzie, 2018, EMNLP.

Learning Latent Engagement Patterns of Students in Online Courses

Lise Getoor, Bert Huang, Dan Goldwasser, 2014, AAAI.

Online Learning of Multiple Tasks and Their Relationships

Avishek Saha, Suresh Venkatasubramanian, Hal Daumé, 2011, AISTATS.

Large Scale Retrieval and Generation of Image Descriptions

Karl Stratos, Yejin Choi, Vicente Ordonez, 2015, International Journal of Computer Vision.

Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage

Hal Daumé, Amit Goyal, Hal Daumé, 2011, AAAI.

Hierarchical Imitation and Reinforcement Learning pdf

Nan Jiang, Yisong Yue, Miroslav Dudík, 2018, ICML.

The Importance of Lexicalized Syntax Models for Natural Language Generation Tasks

Daniel Marcu, Kenji Yamada, Hal Daumé, 2002, INLG.

Modeling Dynamic Relationships Between Characters in Literary Novels pdf

Chris Dyer, Snigdha Chaturvedi, Hal Daumé, 2015, ArXiv.

Non-Parametric Bayesian Areal Linguistics

Hal Daumé, Hal Daumé, 2009, HLT-NAACL.

“I Object!” Modeling Latent Pragmatic Effects in Courtroom Dialogues

Dan Goldwasser, Hal Daumé, Hal Daumé, 2014, EACL.

Name Translation in Statistical Machine Translation - Learning When to Transliterate

Kevin Knight, Hal Daumé, Ulf Hermjakob, 2008, ACL.

Integrating a Discriminative Classifier into Phrase-based and Hierarchical Decoding

Fabienne Braune, Alexander M. Fraser, Marine Carpuat, 2014, Prague Bull. Math. Linguistics.

Short Text Representation for Detecting Churn in Microblogs

Hal Daumé, Hadi Amiri, Hal Daumé, 2016, AAAI.

Datasheets for datasets pdf

Timnit Gebru, Hanna M. Wallach, Hal Daumé, 2018, Commun. ACM.

Contextual Memory Trees

John Langford, Paul Mineiro, Wen Sun, 2019, ICML.

Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering

Anusua Trivedi, Hal Daumé, Piyush Rai, 2012, TIST.

The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health

Philip Resnik, Hal Daumé, Hadi Amiri, 2016, CLPsych@HLT-NAACL.

A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior

Daniel Marcu, Hal Daumé, D. Marcu, 2005, J. Mach. Learn. Res..

From Structured Prediction to Inverse Reinforcement Learning

Hal Daumé, 2010, ACL 2010.

Flexible Modeling of Latent Task Structures in Multitask Learning

Jacques Wainer, Hal Daumé, Piyush Rai, 2012, ICML.

Integrated Information Management: An Interactive, Extensible Architecture for Information Retrieval

Eric Nyberg, Hal Daumé, 2001, HLT.

Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation

Philip Resnik, Junhui Li, Hal Daumé, 2013, HLT-NAACL.

Modeling Evolving Relationships Between Characters in Literary Novels

Chris Dyer, Snigdha Chaturvedi, Hal Daumé, 2016, AAAI.

Incorporating Lexical Priors into Topic Models

Hal Daumé, Raghavendra Udupa, Jagadeesh Jagarlamudi, 2012, EACL.

CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search pdf

Philip Resnik, Hal Daumé, Sudha Rao, 2016, SemEval@NAACL-HLT.

Understanding and predicting importance in images

Karl Stratos, Alexander C. Berg, Hal Daumé, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Imitation Learning by Coaching

He He, Hal Daumé, Jason Eisner, 2012, NIPS.

Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning

Hal Daumé, Khanh Nguyen, Hal Daumé, 2019, EMNLP.

Predicting the impact of scientific concepts using full‐text features

Luis Gravano, Dragomir R. Radev, Simone Teufel, 2016, J. Assoc. Inf. Sci. Technol..

Active Supervised Domain Adaptation

Avishek Saha, Suresh Venkatasubramanian, Hal Daumé, 2011, ECML/PKDD.

Answer-based Adversarial Training for Generating Clarification Questions

Hal Daumé, Sudha Rao, Hal Daumé, 2019, NAACL.

Learning as search optimization: approximate large margin methods for structured prediction

Daniel Marcu, Hal Daumé, D. Marcu, 2005, ICML.

Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback pdf

John Langford, Hal Daumé, Alekh Agarwal, 2019, ICML.

Co-regularization Based Semi-supervised Domain Adaptation

Avishek Saha, Hal Daumé, Abhishek Kumar, 2010, NIPS.

Extracting Multilingual Topics from Unaligned Comparable Corpora

Hal Daumé, Jagadeesh Jagarlamudi, Hal Daumé, 2010, ECIR.

A Corpus-Guided Framework for Robotic Visual Perception

Yiannis Aloimonos, Cornelia Fermüller, Hal Daumé, 2011, Language-Action Tools for Cognitive Artificial Agents.

Structured Prediction via Learning to Search under Bandit Feedback

Hal Daumé, Amr Sharaf, Hal Daumé, 2017, SPNLP@EMNLP.

Learning Multiple Tasks using Manifold Regularization

Hal Daumé, Samuel Gerber, Arvind Agarwal, 2010, NIPS.

Domain Adaptation for Statistical Classifiers pdf

Daniel Marcu, Hal Daumé, D. Marcu, 2006, J. Artif. Intell. Res..

Regularized Interlingual Projections: Evaluation on Multilingual Transliteration

Hal Daumé, Jagadeesh Jagarlamudi, 2012, EMNLP-CoNLL.

Structure compilation: trading structure for features

Dan Klein, Hal Daumé, Percy Liang, 2008, ICML '08.

A Framework for Discriminative Rule Selection in Hierarchical Moses

Fabienne Braune, Alexander M. Fraser, Hal Daumé, 2016, WMT.

Sketch Algorithms for Estimating Point Queries in NLP

Graham Cormode, Hal Daumé, Amit Goyal, 2012, EMNLP.

Syntax-based Rewriting for Simultaneous Machine Translation

He He, John Morgan, Hal Daumé, 2015, EMNLP.

The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task

Shi Feng, Hal Daumé, Khanh Nguyen, 2017, WMT.

Nonparametric Bayesian Sparse Hierarchical Factor Modeling and Regression

Hal Daumé, 2008, NIPS 2008.

Deep Unordered Composition Rivals Syntactic Methods for Text Classification

Hal Daumé, Jordan L. Boyd-Graber, Mohit Iyyer, 2015, ACL.

Low-Dimensional Discriminative Reranking

Hal Daumé, Jagadeesh Jagarlamudi, 2012, HLT-NAACL.

From Zero to Reproducing Kernel Hilbert Spaces in Twelve Pages or Less

Hal Daumé, 2006 .

Domain Adaptation for Machine Translation by Mining Unseen Words

Hal Daumé, Jagadeesh Jagarlamudi, Hal Daumé, 2011, ACL.

Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic

Lise Getoor, Dan Goldwasser, Hal Daumé, 2013 .

Non-Monotonic Sequential Text Generation

Kyunghyun Cho, Hal Daumé, Kianté Brantley, 2019, ICML.

Web Search Intent Induction via Automatic Query Reformulation

Eric Brill, Hal Daumé, Hal Daumé, 2004, NAACL.

Message-Passing for Approximate MAP Inference with Latent Variables

Hal Daumé, Piyush Rai, Jiarong Jiang, 2011, NIPS.

Bayesian Multitask Learning with Latent Hierarchies pdf

Hal Daumé, Hal Daumé, 2009, UAI.

Hands-on Learning to Search for Structured Prediction

John Langford, He He, Kai-Wei Chang, 2015, HLT-NAACL.

Biomedical Event Extraction using Abstract Meaning Representation

Daniel Marcu, Kevin Knight, Hal Daumé, 2017, BioNLP.

Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression

Hal Daumé, Piyush Rai, Abhishek Kumar, 2012, NIPS.

Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task pdf

Emily M. Bender, Allyson Ettinger, Hal Daumé, 2017, Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems.

Efficient programmable learning to search pdf

John Langford, Hal Daumé, Stéphane Ross, 2014, ArXiv.

Reinforcement Learning with Convex Constraints

Miroslav Dudík, Robert E. Schapire, Hal Daumé, 2019, NeurIPS.

Why discourse affects speakers’ choice of referring expressions

Naomi Feldman, Naho Orita, Hal Daumé, 2015, ACL.

Predicting Instructor’s Intervention in MOOC forums

Dan Goldwasser, Snigdha Chaturvedi, Hal Daumé, 2014, ACL.

Predictable Dual-View Hashing

Jonghyun Choi, Larry S. Davis, Mohammad Rastegari, 2013, ICML.

A Topical Graph Kernel for Link Prediction in Labeled Graphs

Snigdha Chaturvedi, Hal Daumé, Shashank Srivastava, 2012 .

Support Vector Machines for Natural Language Processing CSCI 544 – Notes to Accompany the Lecture

Hal Daumé, 2004 .

Cross-Task Knowledge-Constrained Self Training

Hal Daumé, Hal Daumé, 2008, EMNLP.

Dynamic Feature Selection for Dependency Parsing

He He, Hal Daumé, Jason Eisner, 2013, EMNLP.

Learning Reductions That Really Work This paper summarizes the mathematical and computational techniques that have enabled learning reductions to effectively address a wide class of tasks.

John Langford, Paul Mineiro, Hal Daumé, 2016 .

Beyond Structured Prediction: Inverse Reinforcement Learning

Hal Daumé, 2011, ACL.

Transfer learning in language

Hal Daumé, Hal Daumé, 2012, MLSLP.

Guest Editor’s Introduction to the Special Issue on Domain Adaptation for Vision Applications

Rama Chellappa, Dong Xu, Trevor Darrell, 2014, International Journal of Computer Vision.

Meta-Learning for Contextual Bandit Exploration pdf

Hal Daumé, Amr Sharaf, Hal Daumé, 2019, ArXiv.

Learning Task Grouping and Overlap in Multi-task Learning

Hal Daumé, Abhishek Kumar, Hal Daumé, 2012, ICML.

Frustratingly Easy Domain Adaptation pdf

Hal Daumé, Hal Daumé, 2007, ACL.

A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation

Philip Resnik, Junhui Li, Hal Daumé, 2014, ACL.

Sensor Network Localization for Moving Sensors

Suresh Venkatasubramanian, Hal Daumé, Jeff M. Phillips, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Markov Random Topic Fields

Hal Daumé, Hal Daumé, 2009, ACL/IJCNLP.

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation

He He, Hal Daumé, Jordan L. Boyd-Graber, 2016, NAACL.

Search-based structured prediction

John Langford, Daniel Marcu, Hal Daumé, 2009, Machine Learning.

Understanding MOOC Discussion Forums using Seeded LDA

Lise Getoor, Bert Huang, Dan Goldwasser, 2014, BEA@ACL.

Learning to Search Better than Your Teacher pdf

John Langford, Akshay Krishnamurthy, Kai-Wei Chang, 2015, ICML.

Digital Words: Moving Forward with Measuring the Readability of Online Texts

Elissa M. Redmiles, Hal Daumé, Michelle L. Mazurek, 2018 .

Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation

Peter J. Haug, Wendy W. Chapman, Hal Daumé, 2013, J. Am. Medical Informatics Assoc..

Learning to Search in Branch and Bound Algorithms

He He, Hal Daumé, Jason Eisner, 2014, NIPS.

SenseSpotting: Never let your parallel data tie you to an old domain

Rachel Rudinger, Marine Carpuat, Hal Daumé, 2013, ACL.

Dialogue focus tracking for zero pronoun resolution

Allyson Ettinger, Philip Resnik, Hal Daumé, 2015, NAACL.

Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings

Philip Resnik, Hal Daumé, Suraj Nair, 2018, CLPsych@NAACL-HTL.

The Infinite Hierarchical Factor Regression Model

Hal Daumé, Piyush Rai, Hal Daumé, 2008, NIPS.

A Noisy-Channel Model for Document Compression

Daniel Marcu, Hal Daumé, D. Marcu, 2002, ACL.

A COMPUTATIONAL MODEL FOR PLOT UNITS

Ellen Riloff, Hal Daumé, Amit Goyal, 2013, Comput. Intell..

Learning to Search for Dependencies pdf

John Langford, He He, Kai-Wei Chang, 2015, ArXiv.

Generating Semantic Orientation Lexicon using Large Data and Thesaurus

Hal Daumé, Amit Goyal, Hal Daumé, 2011, WASSA@ACL.

Generative Kernels for Exponential Families

Hal Daumé, Arvind Agarwal, 2011, AISTATS.

Beyond EM: Bayesian Techniques for Human Language Technology Researchers

Hal Daumé, 2006, HLT-NAACL.

Active Learning for Cost-Sensitive Classification

John Langford, Akshay Krishnamurthy, Tzu-Kuo Huang, 2017, ICML.

Improving Bilingual Projections via Sparse Covariance Matrices

Hal Daumé, Raghavendra Udupa, Jagadeesh Jagarlamudi, 2011, EMNLP.

Exponential Family Hybrid Semi-Supervised Learning pdf

Hal Daumé, Arvind Agarwal, Hal Daumé, 2009, IJCAI.

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback pdf

Hal Daumé, Khanh Nguyen, Jordan L. Boyd-Graber, 2017, EMNLP.

A geometric view of conjugate priors

Hal Daumé, Arvind Agarwal, Hal Daumé, 2010, Machine Learning.

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships

Snigdha Chaturvedi, Hal Daumé, Jordan L. Boyd-Graber, 2016, NAACL.

Global Voices: Crossing Borders in Automatic News Summarization pdf

Hal Daumé, Khanh Nguyen, Hal Daumé, 2019, EMNLP.

Midge: Generating Image Descriptions From Computer Vision Detections

Karl Stratos, Alexander C. Berg, Hal Daumé, 2012, EACL.

From Bilingual Dictionaries to Interlingual Document Representations

Hal Daumé, Raghavendra Udupa, Jagadeesh Jagarlamudi, 2011, ACL.

Monolingual Marginal Matching for Translation Model Adaptation

Chris Quirk, Hal Daumé, Ann Irvine, 2013, EMNLP.

Efficient Protocols for Distributed Classification and Optimization pdf

Avishek Saha, Suresh Venkatasubramanian, Hal Daumé, 2012, ALT.

Sketching Techniques for Large Scale NLP

Suresh Venkatasubramanian, Hal Daumé, Amit Goyal, 2010, WAC@NAACL-HLT.

Corpus-Guided Sentence Generation of Natural Images

Yiannis Aloimonos, Hal Daumé, Yezhou Yang, 2011, EMNLP.

A Bayesian Model for Discovering Typological Implications pdf

Hal Daumé, Lyle Campbell, Hal Daumé, 2007, ACL.

Automatically Producing Plot Unit Representations for Narrative Text

Ellen Riloff, Hal Daumé, Amit Goyal, 2010, EMNLP.

Target-Dependent Churn Classification in Microblogs

Hal Daumé, Hadi Amiri, 2015, AAAI.

Towards a Watson that sees: Language-guided action recognition for robots

Yiannis Aloimonos, Cornelia Fermüller, Hal Daumé, 2012, 2012 IEEE International Conference on Robotics and Automation.

Bayesian Agglomerative Clustering with Coalescents

Yee Whye Teh, Daniel M. Roy, Hal Daumé, 2007, NIPS.

Streamed Learning: One-Pass SVMs pdf

Suresh Venkatasubramanian, Hal Daumé, Piyush Rai, 2009, IJCAI.

Unsupervised Learning of Evolving Relationships Between Literary Characters

Snigdha Chaturvedi, Hal Daumé, Mohit Iyyer, 2017, AAAI.

Protocols for Learning Classifiers on Distributed Data

Avishek Saha, Suresh Venkatasubramanian, Hal Daumé, 2012, AISTATS.

Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information pdf

Hal Daumé, Sudha Rao, Hal Daumé, 2018, ACL.

Detecting Visual Text

Karl Stratos, Yejin Choi, Alexander C. Berg, 2012, NAACL.

Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text pdf

Dan Goldwasser, Snigdha Chaturvedi, Hal Daumé, 2016, AAAI.

Using classifier cascades for scalable e-mail classification

Lise Getoor, Jay Pujara, Hal Daumé, 2011, CEAS '11.

Learning Reductions That Really Work

John Langford, Paul Mineiro, Hal Daumé, 2016, Proceedings of the IEEE.

Book Review, Inderjeet Mani: Automatic Summarization, John Benjamins Publishing Co., Amsterdam, The Netherlands, 2001, xi + 286 pp.

Hal Daumé, 2005, Machine Translation.

A Credit Assignment Compiler for Joint Prediction

John Langford, He He, Kai-Wei Chang, 2014, NIPS.

Discriminatively Enhanced Topic Models

Snigdha Chaturvedi, Hal Daumé, Taesun Moon, 2013, 2013 IEEE 13th International Conference on Data Mining.

Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts

Elissa M. Redmiles, Hal Daumé, Michelle L. Mazurek, 2019, EMNLP/IJCNLP.

A Binary Classification Framework for Two-Stage Multiple Kernel Learning

Koray Kavukcuoglu, Hal Daumé, Alexandru Niculescu-Mizil, 2012, ICML.

Generalized Multiview Analysis: A discriminative latent space

David W. Jacobs, Hal Daumé, Abhishek Sharma, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback

John Langford, Hal Daumé, Amr Sharaf, 2018, ICLR.

Measuring Machine Translation Errors in New Domains

Dragos Stefan Munteanu, John Morgan, Marine Carpuat, 2013, TACL.

Learned Prioritization for Trading Off Accuracy and Speed

Adam R. Teichert, Hal Daumé, Jason Eisner, 2012, NIPS.

Exploiting tag and word correlations for improved webpage clustering

Anusua Trivedi, Hal Daumé, Piyush Rai, 2010, SMUC '10.

Multi-Label Prediction via Sparse Infinite CCA

Hal Daumé, Piyush Rai, Hal Daumé, 2009, NIPS.

Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields

Lise Getoor, Bert Huang, Dan Goldwasser, 2020, IEEE Transactions on Learning Technologies.

A Neural Network for Factoid Question Answering over Paragraphs

Richard Socher, Hal Daumé, Jordan L. Boyd-Graber, 2014, EMNLP.

Streaming for large scale NLP: Language Modeling

Suresh Venkatasubramanian, Hal Daumé, Amit Goyal, 2009, NAACL.

A Co-training Approach for Multi-view Spectral Clustering

Hal Daumé, Abhishek Kumar, Hal Daumé, 2011, ICML.

Discrete Algorithms Meet Machine Learning (NII Shonan Meeting 2013-6)

Samir Khuller, Kevin Duh, Hal Daumé, 2013, NII Shonan Meet. Rep..

Unsupervised search-based structured prediction pdf

Hal Daumé, Hal Daumé, 2009, ICML '09.

Uncovering hidden engagement patterns for predicting learner performance in MOOCs

Lise Getoor, Bert Huang, Dan Goldwasser, 2014, L@S.

A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model

Daniel Marcu, Hal Daumé, D. Marcu, 2005, HLT.

Approximate Scalable Bounded Space Sketch for Large Data NLP

Hal Daumé, Amit Goyal, Hal Daumé, 2011, EMNLP.

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?

Miroslav Dudík, Hanna M. Wallach, Hal Daumé, 2018, CHI.

Infinite Predictor Subspace Models for Multitask Learning

Hal Daumé, Piyush Rai, Hal Daumé, 2010, AISTATS.

A Phrase-Based HMM Approach to Document/Abstract Alignment

Daniel Marcu, Hal Daumé, 2004, EMNLP.

Fast Large-Scale Approximate Graph Construction for NLP

Hal Daumé, Amit Goyal, Raul Guerra, 2012, EMNLP.

Beam Search based MAP Estimates for the Indian Buffet Process

Hal Daumé, Piyush Rai, 2011, ICML.

Fast search for Dirichlet process mixture models

Hal Daumé, Hal Daumé, 2007, AISTATS.

Kernel regression for Head-Related Transfer Function interpolation and spectral extrema extraction

Ramani Duraiswami, Hal Daumé, Dmitry N. Zotkin, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

NP Bracketing by Maximum Entropy Tagging and SVM Reranking

Daniel Marcu, Hal Daumé, D. Marcu, 2004, EMNLP.

Kernelized Sorting for Natural Language Processing

Hal Daumé, Jagadeesh Jagarlamudi, Seth Juarez, 2010, AAAI.

Logarithmic Time One-Against-Some pdf

John Langford, Paul Mineiro, Nikos Karampatziakis, 2016, ICML.

Co-regularized Multi-view Spectral Clustering

Hal Daumé, Piyush Rai, Abhishek Kumar, 2011, NIPS.

When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks

Tudor Dumitras, Hal Daumé, Yigitcan Kaya, 2018, USENIX Security Symposium.

Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation

Hal Daumé, Jordan L. Boyd-Graber, Chen Zhao, 2021, EMNLP.

Analyzing Stereotypes in Generative Text Inference Tasks

Rachel Rudinger, Hal Daumé, Anna Sotnikova, 2021, FINDINGS.

Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation pdf

Chenyan Xiong, Hal Daumé, Jordan L. Boyd-Graber, 2021, EMNLP.

Prior and Prejudice

Nihar B. Shah, Hal Daumé, Ivan Stelmakh, 2021, Proc. ACM Hum. Comput. Interact..

Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop

Abeer Alwan, Dinesh Manocha, Stefanie Tellex, 2020, Comput. Speech Lang..

Meta-Learning Effective Exploration Strategies for Contextual Bandits

Hal Daumé, Amr Sharaf, Hal Daumé, 2021, AAAI.

Computational methods are invaluable for typology, but the models must match the questions

Roger Levy, Hal Daumé, Hal Daumé, 2011 .

Supervised clustering with the Dirichlet process

Daniel Marcu, Hal Daumé, .

Incremental Multi-Dimensional Scaling

Suresh Venkatasubramanian, Hal Daumé, Jeff M. Phillips, 2010 .

A Phrase-Based HMM

Hal Daumé, .