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Natural Language Processing | Machine Learning | Bayesian Methods | Structured Prediction | Domain Adaptation/Multitask Learning | Document Summarization | Linguistics | Programming Languages


Natural Language Processing

What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems
Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat and Hal Daumé III
EMNLP, 2023
[Abstract] [BibTeX]

Hallucination Detection for Grounded Instruction Generation
Lingjun Zhao, Khanh Nguyen and Hal Daumé III
EMNLP (Findings), 2023
[Abstract] [BibTeX]

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
Aashaka Desai, Lauren Berger, Fyodor O. Minakov, Vanessa Milan, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli and Danielle Bragg
NeurIPS (Data \& Benchmarks track), 2023
[Abstract] [BibTeX]

A Rose by Any Other Name would not Smell as Sweet: Social Bias in Name Mistranslations
Sandra Sandoval, Jieyu Zhao, Marine Carpuat and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
[Abstract] [BibTeX]

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance
Arjun Subramonian, Xingdi Yuan, Hal Daumé III and Su Lin Blodgett
Conference of the Association for Computational Linguistics (ACL), 2023
[Abstract] [BibTeX]

FairPrism: Evaluating Fairness-Related Harms in Text Generation
Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann and Hanna Wallach
Conference of the Association for Computational Linguistics (ACL), 2023
[Abstract] [BibTeX]

Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree
Connor Baumler, Anna Sotnikova and Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2023
[Abstract] [BibTeX]

Factual or Contextual? Disentangling Error Types in Entity Description Generation
Navita Goyal, Ani Nenkova and Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2023
[Abstract] [BibTeX]

Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation
Lingjun Zhao, Khanh Nguyen and Hal Daumé III
ACL, 2023
[Abstract] [BibTeX]

Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle
Yang Trista Cao and Hal Daumé III
Computational Linguistics, 2022
[Abstract] [BibTeX]

Heterogeneous Supervised Topic Models
Dhanya Sridhar, Hal Daumé III and David Blei
TACL, 2022
[Abstract] [BibTeX]

What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?
Yang Trista Cao, Kyle Seelman, Kyungjun Lee and Hal Daumé III
AACL-IJCNLP, 2022
🏆 Best Theme Paper
[Abstract] [BibTeX]

Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models
Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger and Linda Zou
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022
[Abstract] [BibTeX]

Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman and Alexandra Olteanu
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022
[Abstract] [BibTeX]

Spoken language interaction with robots: Recommendations for future research
Matthew Marge, Carol Espy-Wilson, Nigel G Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gil Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond Mooney, Roger K Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I Rudnicky, Matthias Scheutz, Robert St Amant, Tong Sun, Stefanie Tellex, David Traum and Zhou Yu
Computer Speech and Language, 2022
[Abstract] [BibTeX]

Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval
Chen Zhao, Chenyan Xiong, Jordan Boyd-Graber and Hal Daumé III
NAACL (short), 2021
[Abstract] [BibTeX]

Distantly-Supervised Evidence Retrieval Enables Question Answering without Annotated Evidence Pieces
Chen Zhao, Chenyan Xiong, Jordan Boyd-Graber and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
[BibTeX]

Analyzing Stereotypes in Generative Text Inference Tasks
Anna Sotnikova, Yang Trista Cao, Hal Daumé III and Rachel Rudinger
ACL (findings), 2021
[Abstract] [BibTeX]

Meta-learning for Few-Shot NMT Adaptation
Amr Sharaf, Hany Hassan and Hal Daumé III
WNGT@ACL, 2020
🏆 Best Paper Award
[Abstract] [BibTeX]

On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries
Tianze Shi, Chen Zhao, Jordan Boyd-Graber, Hal Daumé III and Lillian Lee
Findings of EMNLP, 2020
[Abstract] [BibTeX]

Global Voices: Crossing Borders in Automatic News Summarization
Khanh Nguyen and Hal Daumé III
EMNLP Summarization Workshop, 2019
[Abstract] [BibTeX]

Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
Khanh Nguyen and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
[Abstract] [BibTeX] [Code/Data]

Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
Elissa Redmiles, Lisa Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everst Liu, Miraida Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligorić, Sean Kross, Michelle L. Mazurek and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
[Abstract] [BibTeX] [Code/Data]

Interpretable Engagement Models for MOOCs using Hinge-loss Markov Random Fields
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III and Lise Getoor
IEEE Transations on Learning Technologies, 2019
[Abstract] [BibTeX]

Content Selection in Deep Learning Models of Summarization
Chris Kedzie, Kathleen McKeown and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
[Abstract] [BibTeX] [Code/Data]

Unsupervised Learning of Evolving Relationships Between Literary Characters
Snigdha Chaturvedi, Mohit Iyyer and Hal Daumé III
National Conference on Artificial Intelligence (AAAI), 2017
[Abstract] [BibTeX]

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships
Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan Boyd-Graber and Hal Daumé III
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016
🏆 Best Paper Award
[Abstract] [BibTeX]

The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health
Meir Friedenberg, Hadi Amiri, Hal Daumé III and Philip Resnik
Workshop on CL for Clinical Psychology, 2016
[Abstract] [BibTeX]

Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text
Snigdha Chaturvedi, Dan Goldwasser and Hal Daumé III
National Conference on Artificial Intelligence (AAAI), 2016
[Abstract] [BibTeX]

Predicting the impact of scientific concepts using full‐text features
Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos, Kapil Thadani, Pablo Barrio, Or Biran, Suvarna Bothe, Michael Collins, Kenneth R Fleischmann, Luis Gravano, Rahul Jha, Ben King, Kevin McInerney, Taesun Moon, Arvind Neelakantan, Diarmuid O'Seaghdha, Dragomir Radev, Clay Templeton and Simone Teufel
JAIST, 2016
[Abstract] [BibTeX]

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation
He He, Jordan Boyd-Graber and Hal Daumé III
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016
[Abstract] [BibTeX]

Short Text Representation for Detecting Churn in Microblogs
Hadi Amiri and Hal Daumé III
National Conference on Artificial Intelligence (AAAI), 2016
[Abstract] [BibTeX]

A Framework for Discriminative Rule Selection in Hierarchical Moses
Fabienne Braune, Alexander Fraser, Hal Daumé III and Aleš Tamchyna
WMT, 2016
[Abstract] [BibTeX]

Modeling Evolving Relationships Between Characters in Literary Novels
Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III and Chris Dyer
National Conference on Artificial Intelligence (AAAI), 2016
[Abstract] [BibTeX]

Learning Text Pair Similarity with Context-sensitive Autoencoders
Hadi Amiri, Philip Resnik, Jordan Boyd-Graber and Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2016
[Abstract] [BibTeX]

Why discourse affects speakers’ choice of referring expressions
Naho Orita, Eliana Vornov, Naomi H Feldman and Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2015
[Abstract] [BibTeX]

Deep unordered composition rivals syntactic methods for text classification
Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber and Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2015
[Abstract] [BibTeX]

Syntax-based Rewriting for Simultaneous Machine Translation
He He, Alvin Grissom II, Jordan Boyd-Graber and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015
[Abstract] [BibTeX]

Understanding MOOC Discussion Forums using seeded LDA
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III and Lise Getoor
Workshop on Innovative Use of NLP for Building Educational Applications, 2014
[Abstract] [BibTeX]

Predicting Instructor Intervention in MOOC Forums
Snigdha Chaturvedi, Dan Goldwasser and Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2014
[Abstract] [BibTeX]

Integrating a Discriminative Classifier into Phrase-based and Hierarchical Decoding
Aleš Tamchyna, Fabienne Braune, Alexander Fraser, Marine Carpuat, Hal Daumé III and Chris Quirk
The Prague Bulletin of Mathematical Linguistics, 2014
[Abstract] [BibTeX]

Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation
Alvin Grissom II, Jordan Boyd-Graber, He He, John Morgan and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014
[BibTeX]

"I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues
Dan Goldwasser and Hal Daumé III
Conference of the European Association for Computational Linguistics (EACL), 2014
[BibTeX]

Discriminatively Enhanced Topic Models
Snigdha Chaturvedi, Hal Daumé III and Taesun Moon
International Conference on Data Mining (ICDM), 2013
[BibTeX]

Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation
Junhui Li, Philip Resnik and Hal Daumé III
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2013
[Abstract] [BibTeX]

SenseSpotting: Never let your parallel data tie you to an old domain
Marine Carpuat, Hal Daumé III, Katharine Henry, Ann Irvine, Jagadeesh Jagarlamudi and Rachel Rudinger
Conference of the Association for Computational Linguistics (ACL), 2013
[Abstract] [BibTeX]

Monolingual Marginal Matching for Translation Model Adaptation
Ann Irvine, Chris Quirk and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013
[BibTeX]

A Computational Model for Plot Units
Amit Goyal, Ellen Riloff and Hal Daumé III
Computational Intelligence Journal, 2013
[Abstract] [BibTeX]

Dynamic Feature Selection for Dependency Parsing
He He, Hal Daumé III and Jason Eisner
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013
[Abstract] [BibTeX] [Slides] [Video]

Measuring Machine Translation Errors in New Domains
Ann Irvine, John Morgan, Marine Carpuat, Hal Daumé III and Dragos Munteanu
Transactions of the Association for Computational Linguistics (TACL), 2013
[Abstract] [BibTeX]

Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation
Jeffrey Ferraro, Hal Daumé III, Scott DuVall, Wendy Chapman, Henk Harkema and Peter Haug
Jornal of the American Medical Informatics Association, 2013
[Abstract] [BibTeX]

Midge: Generating Image Descriptions From Computer Vision Detections
Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa Mensch, Alexander C. Berg, Tamara L. Berg and Hal Daumé III
European Chapter of the Association for Computational Linguistics (EACL), 2012
🏆 Test of Time Award (2022)
[Abstract] [BibTeX]

Incorporating Lexical Priors into Topic Models
Jagadeesh Jagarlamudi, Hal Daumé III and Raghavendra Udupa
Conference on European Chapter of the Association for Computational Linguistics (EACL), 2012
[Abstract] [BibTeX]

Low-dimensional Discriminative Reranking
Jagadeesh Jagarlamudi and Hal Daumé III
Conference on North American Chapter of the Association for Computational Linguistics, 2012
[Abstract] [BibTeX]

Learned Prioritization for Trading Off Accuracy and Speed
Jiarong Jiang, Adam Teichert, Hal Daumé III and Jason Eisner
Advances in Neural Information Processing Systems (NeurIPS), 2012
[Abstract] [BibTeX]

Besting the quiz master: crowdsourcing incremental classification games
Jordan Boyd-Graber, Brianna Satinoff, He He and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2012
[Abstract] [BibTeX]

Fast Large-Scale Approximate Graph Construction for NLP
Amit Goyal, Hal Daumé III and Raul Guerra
Empirical Methods in Natural Language Processing (EMNLP), 2012
[BibTeX]

Sketch Algorithms for Estimating Point Queries in NLP
Amit Goyal, Hal Daumé III and Graham Cormode
Empirical Methods in Natural Language Processing (EMNLP), 2012
[BibTeX]

Understanding and Predicting Importance in Images
Karl Stratos, Aneesh Sood, Alyssa Mensch, Xufeng Han, Margaret Mitchell, Kota Yamaguchi, Jesse Dodge, Amit Goyal, Hal Daumé III, Alexander C. Berg and Tamara L. Berg
Computer Vision and Pattern Recognition (CVPR), 2012
[Abstract] [BibTeX]

Detecting Visual Text
Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daumé III, Alexander C. Berg and Tamara L. Berg
North American Chapter of the Association for Computational Linguistics (NAACL), 2012
[Abstract] [BibTeX]

Towards a Watson That Sees: Language-Guided Action Recognition for Robots
Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller and Yiannis Aloimonos
ICRA, 2012
[Abstract] [BibTeX]

From Bilingual Dictionaries to Interlingual Document Representations
Jagadeesh Jagarlamudi, Hal Daumé III and Raghavendra Udupa
Association for Computational Linguistics (ACL), 2011
[Abstract] [BibTeX]

Improving Bilingual Projections via Sparse Covariance Matrices
Jagadeesh Jagarlamudi, Raghavendra Udupa, Hal Daumé III and Abhijit Bhole
Empirical Methods in Natural Language Processing (EMNLP), 2011
[BibTeX]

Domain Adaptation for Machine Translation by Mining Unseen Words
Hal Daumé III and Jagadeesh Jagarlamudi
Association for Computational Linguistics, 2011
[Abstract] [BibTeX]

Lossy Conservative Update (LCU) sketch: Succinct approximate count storage
Amit Goyal and Hal Daumé III
Conference on Artificial Intelligence (AAAI), 2011
[BibTeX]

Speed-Accuracy Tradeoffs in Nondeterministic Inference Algorithms
Jason Eisner and Hal Daumé III
COST: NeurIPS 2011 Workshop on Computational Trade-offs in Statistical Learning, 2011
[Abstract] [BibTeX]

Approximate Scalable Bounded Space Sketch for Large Data NLP
Amit Goyal and Hal Daumé III
Empirical Methods in Natural Language Processing (EMNLP), 2011
[BibTeX]

Generating Semantic Orientation Lexicon using Large Data and Thesaurus
Amit Goyal and Hal Daumé III
ACL Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA), 2011
[BibTeX]

Corpus-Guided Sentence Generation of Natural Images
Yezhou Yang, Ching Lik Teo, Hal Daumé III and Yiannis Aloimonos
Empirical Methods in Natural Language Processing (EMNLP), 2011
[Abstract] [BibTeX]

A Corpus-Guided Framework for Robotic Visual Perception
Ching L. Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller and Yiannis Aloimonos
AAAI Workshop on Language-Action Tools for Cognitive Artificial Agents, 2011
[Abstract] [BibTeX]

Sketch Techniques for Scaling Distributional Similarity to the Web
Amit Goyal, Jagadeesh Jagarlamudi, Hal Daumé III and Suresh Venkatasubramanian
GEometrical Models of Natural Language Semantics Workshop (GEMS) at ACL, 2010
[Abstract] [BibTeX]

Toward Plot Units: Automatic Affect State Analysis
Amit Goyal, Ellen Riloff, Hal Daumé III and Nathan Gilbert
HLT/NAACL Workshop on Computational Approaches to Analysis and Generation of Emotion in Text (CAET), 2010
[Abstract] [BibTeX]

Sketching Techniques for Large Scale NLP
Amit Goyal, Jagadeesh Jagarlamudi, Hal Daumé III and Suresh Venkatasubramanian
HLT/NAACL Workshop on the Web as a Corpus (WAC), 2010
[Abstract] [BibTeX]

Extracting Multilingual Topics from Unaligned Corpora
Jagadeesh Jagarlamudi and Hal Daumé III
European Conference on Information Retrieval (ECIR), 2010
[Abstract] [BibTeX]

Kernelized Sorting for Natural Language Processing
Jagadeesh Jagarlamudi, Seth Juarez and Hal Daumé III
Conference on Artificial Intelligence (AAAI), 2010
[Abstract] [BibTeX]

Automatically Producing Plot Unit Representations for Narrative Text
Amit Goyal, Ellen Riloff and Hal Daumé III
Empirical Methods in Natural Language Processing (EMNLP), 2010
[BibTeX]

Unsupervised Search-based Structured Prediction
Hal Daumé III
International Conference on Machine Learning (ICML), 2009
[Abstract] [BibTeX]

Search-based Structured Prediction
Hal Daumé III, John Langford and Daniel Marcu
Machine Learning Journal (MLJ), 2009
[Abstract] [BibTeX]

Markov Random Topic Fields
Hal Daumé III
Association for Computational Linguistics (ACL), 2009
[Abstract] [BibTeX]

Streaming for Large Scale NLP: Language Modeling
Amit Goyal, Hal Daumé III and Suresh Venkatasubramanian
North American Chapter of the Association for Computational Linguistics (NAACL), 2009
[Abstract] [BibTeX]

Unsupervised Part of Speech Tagging Without a Lexicon
Adam R. Teichert and Hal Daumé III
NeurIPS Workshop on Grammar Induction, Representation of Language and Language Learning (GIRLLL), 2009
[BibTeX]

Semi-supervised or Semi-unsupervised?
Hal Daumé III
Unpublished, 2009
[BibTeX]

Non-Parametric Bayesian Model Areal Linguistics
Hal Daumé III
North American Chapter of the Association for Computational Linguistics (NAACL), 2009
[Abstract] [BibTeX]

Structure Compilation: Trading Structure for Features
Percy Liang, Hal Daumé III and Dan Klein
International Conference on Machine Learning (ICML), 2008
[Abstract] [BibTeX]

Cross-Task Knowledge-Constrained Self Training
Hal Daumé III
Empirical Methods in Natural Language Processing (EMNLP), 2008
[Abstract] [BibTeX]

Name Translation in Statistical Machine Translation: Learning When to Transliterate
Ulf Hermjakob, Kevin Knight and Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2008
[Abstract] [BibTeX]

Frustratingly Easy Domain Adaptation
Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2007
🏆 Test of Time Award Nomination (2017)
[Abstract] [BibTeX]

A Bayesian Model for Discovering Typological Implications
Hal Daumé III and Lyle Campbell
Conference of the Association for Computational Linguistics (ACL), 2007
[Abstract] [BibTeX]

Practical Structured Learning Techniques for Natural Language Processing
Hal Daumé III
Ph.D. Thesis, 2006
[BibTeX]

Bayesian Query-Focused Summarization
Hal Daumé III and Daniel Marcu
Conference of the Association for Computational Linguistics (ACL), 2006
[Abstract] [BibTeX]

Searn in Practice
Hal Daumé III, John Langford and Daniel Marcu
Unpublished, 2006
[Abstract] [BibTeX]

Domain Adaptation for Statistical Classifiers
Hal Daumé III and Daniel Marcu
Journal of Artificial Intelligence Research (JAIR), 2006
[Abstract] [BibTeX]

Induction of Word and Phrase Alignments for Automatic Document Summarization
Hal Daumé III and Daniel Marcu
Computational Linguistics (CL), 2005
[Abstract] [BibTeX]

Bayesian Multi-Document Summarization at MSE
Hal Daumé III and Daniel Marcu
Workshop on Multilingual Summarization Evaluation (MSE), 2005
[Abstract] [BibTeX]

A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model
Hal Daumé III and Daniel Marcu
Joint Conference on Human Language Technology and Empirical Methods in Natural Language Processing (HLT/EMNLP), 2005
[Abstract] [BibTeX]

Bayesian Summarization at DUC and a Suggestion for Extrinsic Evaluation
Hal Daumé III and Daniel Marcu
Document Understanding Conference (DUC), 2005
[Abstract] [BibTeX]

A Phrase-Based HMM Approach to Document/Abstract Alignment
Hal Daumé III and Daniel Marcu
Empirical Methods in Natural Language Processing (EMNLP), 2004
[Abstract] [BibTeX]

A Tree-Position Kernel for Document Compression
Hal Daumé III and Daniel Marcu
Fourth Document Understanding Conference (DUC), 2004
[Abstract] [BibTeX]

Generic Sentence Fusion is an Ill-Defined Summarization Task
Hal Daumé III and Daniel Marcu
Text Summarization Branches Out Workshop at ACL (TextSum), 2004
[Abstract] [BibTeX]

NP Bracketing by Maximum Entropy Tagging and SVM Reranking
Hal Daumé III and Daniel Marcu
Empirical Methods in Natural Language Processing, 2004
[Abstract] [BibTeX]

Web Search Intent Induction via Automatic Query Reformulation
Hal Daumé III and Eric Brill
North American Chapter of the Association for Computational Linguistics (NAACL), 2004
[Abstract] [BibTeX]

A Phrase-Based HMM
Hal Daumé III
Unpublished, 2002
[BibTeX]

A Noisy-Channel Model for Document Compression
Hal Daumé III and Daniel Marcu
40th Annual Meeting of the Association for Computational Linguistics (ACL), 2002
[Abstract] [BibTeX]

GLEANS: A Generator of Logical Extracts and Abstracts for Nice Summaries
Hal Daumé III, Abdesammad Echihabi, Daniel Marcu, Dragos Stefan Munteanu and Radu Soricut
Second Document Understanding Conference (DUC), 2002
[Abstract] [BibTeX]

The Importance of Lexicalized Syntax Models for Natural Language Generation Tasks
Hal Daumé III, Kevin Knight, Irene Langkilde-Geary, Daniel Marcu and Kenji Yamada
2002 International Conference on Natural Language Generation (INLG), 2002
[Abstract] [BibTeX]

Integrated Information Management: An Interactive, Extensible Architecture for Information Retrieval
Eric Nyberg and Hal Daumé III
2001 Human Language Technology Conference (HLT), 2001
[Abstract] [BibTeX]

Machine Learning

Progressively Efficient Learning
Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang and Karthik Narasimhan
Preprint, 2023
[Abstract] [BibTeX]

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang and Huazhe Xu
Preprint, 2023
[Abstract] [BibTeX]

Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints
Amr Sharaf and Hal Daumé III
FAccT, 2022
[Abstract] [BibTeX]

A framework for learning to request rich and contextually useful information from humans
Khanh Nguyen, Yonatan Bisk and Hal Daumé III
International Conference on Machine Learning (ICML), 2022
[Abstract] [BibTeX]

Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework
Khanh Nguyen, Yonatan Bisk and Hal Daumé III
International Conference on Machine Learning (ICML), 2022
[Abstract] [BibTeX]

A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences
Ivan Stelmakh, Nihar B. Shah, Aarti Singh and Hal Daumé III
AAAI, 2021
[Abstract] [BibTeX]

Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review
Ivan Stelmakh, Nihar B. Shah, Aarti Singh and Hal Daumé III
CSCW, 2021
[Abstract] [BibTeX]

Supporting human flourishing by ensuring human involvement in AI-infused systems
Joel Chan, Hal Daumé III, John P. Dickerson, Hernisa Kacorri and Ben Shneiderman
HCAI Workshop at NeurIPS 2021, 2021
[Abstract] [BibTeX]

Responsible Computing During COVID-19 and Beyond
Solon Barocas, Asia J. Biega, Margarita Boyarskaya, Kate Crawford, Hal Daumé III, Miroslav Dudík, Benjamin Fish, Mary L. Gray, Brent Hecht, Alexandra Olteanu, Forough Poursabzi-Sangdeh, Luke Stark, Jennifer Wortman Vaughan, Hanna Wallach and Marion Zepf
CACM, 2021
[Abstract] [BibTeX]

Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
Khanh Nguyen and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
[Abstract] [BibTeX] [Code/Data]

Meta-Learning for Contextual Bandit Exploration
Amr Sharaf and Hal Daumé III
arxiv, 2019
[Abstract] [BibTeX] [Code/Data]

Reinforcement Learning with Convex Constraints
Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík and Robert Schapire
NeurIPS, 2019
[Abstract] [BibTeX]

Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback
Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford and Sahand N Negahban
ICML, 2019
[Abstract] [BibTeX]

Non-Monotonic Sequential Text Generation
Sean Welleck, Kianté Brantley, Hal Daumé III and Kyunghyun Cho
ICML, 2019
[Abstract] [BibTeX]

Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík and Hanna Wallach
CHI, 2019
[Abstract] [BibTeX]

NeurIPS 2018 Demographics and Inclusion Survey: Summary of Responses
Hal Daumé III and Katherine Heller
NeurIPS (not a normal paper), 2018
[Abstract] [BibTeX] [Code/Data]

When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks
Octavian Suciu, Radu Mărginean, Yiĝitcan Kaya, Hal Daumé III and Tudor Dumitraş
USENIX, 2018
[Abstract] [BibTeX]

Logarithmic time one-against-some
Hal Daumé III, Nikos Karampatziakis, John Langford and Paul Mineiro
International Conference on Machine Learning (ICML), 2017
[Abstract] [BibTeX]

Active Learning for Cost-Sensitive Classification
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III and John Langford
International Conference on Machine Learning (ICML), 2017
[Abstract] [BibTeX]

Logarithmic Time One-Against-Some
Hal Daumé III, Nikos Karampatziakis, John Langford and Paul Mineiro
ICML, 2016
[Abstract] [BibTeX]

Opponent Modeling in Deep Reinforcement Learning
He He, Jordan Boyd-Graber, Kevin Kwok and Hal Daumé III
International Conference on Machine Learning (ICML), 2016
[Abstract] [BibTeX]

A Credit Assignment Compiler for Joint Prediction
Kai-Wei Chang, He He, Stéphane Ross, Hal Daumé III and John Langford
Advances in Neural Information Processing Systems (NeurIPS), 2016
[Abstract] [BibTeX]

Deep unordered composition rivals syntactic methods for text classification
Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber and Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2015
[Abstract] [BibTeX]

Learning Reductions that Really Work
Alina Beygelzimer, Hal Daumé III, John Langford and Paul Mineiro
IEEE Proceedings, 2015
[Abstract] [BibTeX]

Learning to search better than your teacher
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III and John Langford
International Conference on Machine Learning (ICML), 2015
[Abstract] [BibTeX]

On Correcting inputs: Inverse Optimization for Online Structured Prediction
Hal Daumé III, Samir Khuller, Manish Purohit and Gregory Sanders
FSTTCS, 2015
[Abstract] [BibTeX]

Learning to search in branch and bound algorithms
He He, Hal Daumé III and Jason M. Eisner
NeurIPS, 2014
[Abstract] [BibTeX]

Efficient programmable learning to search
Kai-Wei Chang, Hal Daumé III, John Langford and Stéphane Ross
NeurIPS, 2014
[Abstract] [BibTeX]

Learning Latent Engagement Patterns of Students in Online Courses
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III and Lise Getoor
National Conference on Artificial Intelligence (AAAI), 2014
[Abstract] [BibTeX]

Uncovering Hidden Engagement Patterns for Predicting Learner Performance in MOOCs
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III and Lise Getoor
Learning at Scale, 2014
[Abstract] [BibTeX]

A Neural Network for Factoid Question Answering over Paragraphs
Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014
[Abstract] [BibTeX]

Prioritized Asynchronous Belief Propagation
Jiarong Jiang, Taesun Moon, Hal Daumé III and Jason Eisner
ICML Workshop on Inferning, 2013
[Abstract] [BibTeX]

Discriminatively Enhanced Topic Models
Snigdha Chaturvedi, Hal Daumé III and Taesun Moon
International Conference on Data Mining (ICDM), 2013
[BibTeX]

Predictable Dual-View Hashing
Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Hal Daumé III and Larry S. Davis
International Conference on Machine Learning (ICML), 2013
[Abstract] [BibTeX]

Kernel Regression for Head-Related Transfer Function Interpolation and Spectral Extrema Extraction
Yuancheng Luo, Dmitry N. Zotkin, Hal Daumé III and Ramani Duraiswami
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013
[Abstract] [BibTeX]

Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent
Yuening Hu, Jordan Boyd-Graber, Hal Daumé III and Z. Irene Ying
Advances in Neural Information Processing Systems (NeurIPS), 2013
[Abstract] [BibTeX]

Predicting Dialogue Outcomes over Structured Latent Representations
Dan Goldwasser and Hal Daumé III
NeurIPS Workshop on Output Representation Learning, 2013
[BibTeX]

Dynamic Feature Selection for Dependency Parsing
He He, Hal Daumé III and Jason Eisner
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013
[Abstract] [BibTeX] [Slides] [Video]

A Topical Graph Kernel for Link Prediction in Labeled Graphs
Snigdha Chaturvedi, Hal Daumé III, Taesun Moon and Shashank Srivastava
ICML workshop on Mining and Learning with Graphs (MLG), 2013
[Abstract] [BibTeX]

Low-dimensional Discriminative Reranking
Jagadeesh Jagarlamudi and Hal Daumé III
Conference on North American Chapter of the Association for Computational Linguistics, 2012
[Abstract] [BibTeX]

Flexible Modeling of Latent Task Structures in Multitask Learning
Alexandre Passos, Piyush Rai, Jacques Wainer and Hal Daumé III
International Conference on Machine Learning (ICML), 2012
[Abstract] [BibTeX]

Efficient Protocols for Distributed Classification and Optimization
Hal Daumé III, Jeff M. Phillips, Avishek Saha and Suresh Venkatasubramanian
ALT, 2012
[Abstract] [BibTeX]

Learned Prioritization for Trading Off Accuracy and Speed
Jiarong Jiang, Adam Teichert, Hal Daumé III and Jason Eisner
Advances in Neural Information Processing Systems (NeurIPS), 2012
[Abstract] [BibTeX]

Protocols for Learning Classifiers on Distributed Data
Hal Daumé III, Jeff Phillips, Avishek Saha and Suresh Venkatasubramanian
Workshop on Artificial Intelligence and Statistics (AI-Stats), 2012
[Abstract] [BibTeX]

Besting the quiz master: crowdsourcing incremental classification games
Jordan Boyd-Graber, Brianna Satinoff, He He and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2012
[Abstract] [BibTeX]

Cost-sensitive Dynamic Feature Selection
He He, Hal Daumé III and Jason Eisner
ICML 2012 Workshop on Interactions between Inference and Learning (Inferning), 2012
[Abstract] [BibTeX]

Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar and Hal Daumé III
International Conference on Machine Learning (ICML), 2012
[Abstract] [BibTeX]

Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression
Piyush Rai, Abhishek Kumar and Hal Daumé III
Advances in Neural Information Processing Systems (NeurIPS), 2012
[Abstract] [BibTeX]

A Binary Classification Framework for Two-Stage Multiple Kernel Learning
Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu and Hal Daumé III
International Conference on Machine Learning (ICML), 2012
[Abstract] [BibTeX]

Using Classifier Cascades for Scalable E-Mail Classification
Jay Pujara, Hal Daumé III and Lise Getoor
CEAS, 2011
🏆 Best Paper Award
[Abstract] [BibTeX]

A Co-training Approach for Multiview Spectral Clustering
Abhishek Kumar and Hal Daumé III
International Conference on Machine Learning (ICML), 2011
[BibTeX]

Message-Passing for Approximate MAP Inference with Latent Variables
Jiarong Jiang, Piyush Rai and Hal Daumé III
Conference on Neural Information Processing Systems (NeurIPS), 2011
[BibTeX]

Speed-Accuracy Tradeoffs in Nondeterministic Inference Algorithms
Jason Eisner and Hal Daumé III
COST: NeurIPS 2011 Workshop on Computational Trade-offs in Statistical Learning, 2011
[Abstract] [BibTeX]

Multiple Hash Functions for Learning
Amit Goyal, Piyush Rai and Hal Daumé III
NeurIPS Big Learning Workshop, 2011
[Abstract] [BibTeX]

Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Webpage Clustering
Anusua Trivedi, Piyush Rai, Hal Daumé III and Scott L. DuVall
ACM Transactions on Intelligent Systems and Technology, 2011
[BibTeX]

Beam Search based MAP Estimates for the Indian Buffet Process
Piyush Rai and Hal Daumé III
International Conference on Machine Learning (ICML), 2011
[BibTeX]

Co-regularized Multi-view Spectral Clustering
Abhishek Kumar, Piyush Rai and Hal Daumé III
Conference on Neural Information Processing Systems (NeurIPS), 2011
[BibTeX]

Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Hal Daumé III and Suresh Venkatasubramanian
Conference on Artificial Intelligence and Statistics (AI-Stats), 2011
[Abstract] [BibTeX]

Generative Kernels for Exponential Families
Arvind Agarwal and Hal Daumé III
Conference on Artificial Intelligence and Statistics (AI-Stats), 2011
[Abstract] [BibTeX]

Multiview Clustering with Incomplete Views
Piyush Rai, Anusua Trivedi, Hal Daumé III and Scott L. DuVall
NeurIPS Workshop on Machine Learning for Social Computing, 2010
[Abstract] [BibTeX]

Frustratingly Easy Semi-Supervised Domain Adaptation
Hal Daumé III, Abhishek Kumar and Avishek Saha
Workshop on Domain Adaptation for NLP, 2010
[Abstract] [BibTeX]

Exploiting Tag and Word Correlations for Improved Webpage Clustering
Anusua Trivedi, Piyush Rai, Scott L. DuVall and Hal Daumé III
CIKM Workshop on Search and Mining User-generated Contents (SMUC), 2010
[Abstract] [BibTeX]

A Co-regularization Based Semi-supervised Domain Adaptation
Abhishek Kumar, Avishek Saha and Hal Daumé III
Conference on Neural Information Processing Systems (NeurIPS), 2010
[Abstract] [BibTeX]

Infinite Predictor Subspace Models for Multitask Learning
Piyush Rai and Hal Daumé III
Conference on Artificial Intelligence and Statistics (AI-Stats), 2010
[Abstract] [BibTeX]

Multitask Learning via Mixture of Linear Subspaces
Piyush Rai and Hal Daumé III
NeurIPS Workshop on Transfer Learning by Learning Rich Generative Models, 2010
[Abstract] [BibTeX]

A geometric view of conjugate priors
Arvind Agarwal and Hal Daumé III
Machine Learning Journal (MLJ), 2010
[Abstract] [BibTeX]

Co-regularized Spectral Clustering with Multiple Kernels
Abhishek Kumar, Piyush Rai and Hal Daumé III
NeurIPS Workshop on New Directions in Multiple Kernel Learning, 2010
[Abstract] [BibTeX]

Domain Adaptation meets Active Learning
Piyush Rai, Avishek Saha, Hal Daumé III and Suresh Venkatasubramanian
HLT/NAACL Workshop on Active Learning for NLP (ALNLP), 2010
[Abstract] [BibTeX]

Learning Multiple Tasks using Manifold Regularization
Arvind Agarwal, Samuel Gerber and Hal Daumé III
Conference on Neural Information Processing Systems (NeurIPS), 2010
[Abstract] [BibTeX]

Extracting Multilingual Topics from Unaligned Corpora
Jagadeesh Jagarlamudi and Hal Daumé III
European Conference on Information Retrieval (ECIR), 2010
[Abstract] [BibTeX]

Kernelized Sorting for Natural Language Processing
Jagadeesh Jagarlamudi, Seth Juarez and Hal Daumé III
Conference on Artificial Intelligence (AAAI), 2010
[Abstract] [BibTeX]

Active Online Multitask Learning
Avishek Saha, Piyush Rai, Hal Daumé III and Suresh Venkatasubramanian
ICML 2010 Workshop on Budgeted Learning (Budget), 2010
[Abstract] [BibTeX]

Exponential Family Hybrid Semi-Supervised Learning
Arvind Agarwal and Hal Daumé III
International Joint Conference on Artificial Intelligence (IJCAI), 2009
🏆 Best Paper Award
[Abstract] [BibTeX]

Streamed Learning: One-Pass SVMs
Piyush Rai, Hal Daumé III and Suresh Venkatasubramanian
International Joint Conference on Artificial Intelligence (IJCAI), 2009
[Abstract] [BibTeX]

Unsupervised Search-based Structured Prediction
Hal Daumé III
International Conference on Machine Learning (ICML), 2009
[Abstract] [BibTeX]

Search-based Structured Prediction
Hal Daumé III, John Langford and Daniel Marcu
Machine Learning Journal (MLJ), 2009
[Abstract] [BibTeX]

Markov Random Topic Fields
Hal Daumé III
Association for Computational Linguistics (ACL), 2009
[Abstract] [BibTeX]

Multi-Label Prediction via Sparse Infinite CCA
Piyush Rai and Hal Daumé III
Conference on Neural Information Processing Systems (NeurIPS), 2009
[Abstract] [BibTeX]

Bayesian Multitask Learning with Latent Hierarchies
Hal Daumé III
Conference on Uncertainty in Artificial Intelligence (UAI), 2009
[Abstract] [BibTeX]

Semi-supervised or Semi-unsupervised?
Hal Daumé III
Unpublished, 2009
[BibTeX]

Fast Search for Infinite Latent Feature Models
Piyush Rai and Hal Daumé III
NeurIPS Workshop on Non-parametric Bayes (NP-Bayes), 2009
[Abstract] [BibTeX]

Factor Regression Combining Heterogeneous Sources of Information
Amrish Kapoor, Piyush Rai and Hal Daumé III
NeurIPS Workshop on Learning From Multiple Sources with Applications to Robotics (LMS), 2009
[Abstract] [BibTeX]

Multitask Learning using Nonparametrically Learned Predictor Subspaces
Piyush Rai and Hal Daumé III
NeurIPS Workshop on Learning from Multiple Sources, 2009
[Abstract] [BibTeX]

A Bayesian Statistics Approach to Multiscale Coarse Graining
Pu Liu, Qiang Shi, Hal Daumé III and Gregory Voth
Journal of Chemical Physics (J.ChPhys), 2009
[Abstract] [BibTeX]

HBC: Hierarchical Bayes Compiler
Hal Daumé III
Workshop on Bayesian Inference, 2008
[Abstract] [BibTeX]

Perceptron-based Coherence Predictors
Devyani Ghosh, John Carter and Hal Daumé III
2nd Workshop on Chip Multiprocessor Memory Systems and Interconnects (ICSA), 2008
[Abstract] [BibTeX]

Structure Compilation: Trading Structure for Features
Percy Liang, Hal Daumé III and Dan Klein
International Conference on Machine Learning (ICML), 2008
[Abstract] [BibTeX]

The Infinite Hierarchical Factor Regression Model
Piyush Rai and Hal Daumé III
Conference on Neural Information Processing Systems (NeurIPS), 2008
[BibTeX]

Cross-Task Knowledge-Constrained Self Training
Hal Daumé III
Empirical Methods in Natural Language Processing (EMNLP), 2008
[Abstract] [BibTeX]

Frustratingly Easy Domain Adaptation
Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2007
🏆 Test of Time Award Nomination (2017)
[Abstract] [BibTeX]

Fast search for Dirichlet process mixture models
Hal Daumé III
Eleventh International Conference on Artificial Intelligence and Statistics (AIStats), 2007
[Abstract] [BibTeX]

Bayesian Agglomerative Clustering with Coalescents
Yee Whye Teh, Hal Daumé III and Daniel Roy
Conference on Neural Information Processing Systems (NeurIPS), 2007
[Abstract] [BibTeX]

Practical Structured Learning Techniques for Natural Language Processing
Hal Daumé III
Ph.D. Thesis, 2006
[BibTeX]

Searn in Practice
Hal Daumé III, John Langford and Daniel Marcu
Unpublished, 2006
[Abstract] [BibTeX]

Domain Adaptation for Statistical Classifiers
Hal Daumé III and Daniel Marcu
Journal of Artificial Intelligence Research (JAIR), 2006
[Abstract] [BibTeX]

Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction
Errata: There are some technical errors in this paper; see On Learning Linear Ranking Functions for Beam Search by Xu and Fern, ICML 2007, at http://web.engr.oregonstate.edu/~afern/papers/beam-icml07.pdf for more details.
Hal Daumé III and Daniel Marcu
International Conference on Machine Learning (ICML), 2005
[Abstract] [BibTeX]

A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior
Hal Daumé III and Daniel Marcu
Journal of Machine Learning Research (JMLR), 2005
[Abstract] [BibTeX]

Search-Based Structured Prediction as Classification
Hal Daumé III, John Langford and Daniel Marcu
NeurIPS Workshop on Advances in Structured Learning for Text and Speech Processing (ASLTSP), 2005
[Abstract] [BibTeX]

A Tree-Position Kernel for Document Compression
Hal Daumé III and Daniel Marcu
Fourth Document Understanding Conference (DUC), 2004
[Abstract] [BibTeX]

From Zero to Reproducing Kernel Hilbert Spaces in Twelve Pages or Less
Hal Daumé III
Unpublished, 2004
[BibTeX]

Carefully Approximated Bayes Factors for Feature Selection in MaxEnt Models
Hal Daumé III
Unpublished, 2004
[BibTeX]

Supervised clustering with the Dirichlet process
Hal Daumé III and Daniel Marcu
NeurIPS Workshop on Learning With Structured Outputs (LwSO), 2004
[Abstract] [BibTeX]

Notes on CG and LM-BFGS Optimization of Logistic Regression
Hal Daumé III
Unpublished, 2004
[BibTeX]

Bayesian Methods

Flexible Modeling of Latent Task Structures in Multitask Learning
Alexandre Passos, Piyush Rai, Jacques Wainer and Hal Daumé III
International Conference on Machine Learning (ICML), 2012
[Abstract] [BibTeX]

Beam Search based MAP Estimates for the Indian Buffet Process
Piyush Rai and Hal Daumé III
International Conference on Machine Learning (ICML), 2011
[BibTeX]

Computational methods are invaluable for typology, but the models must match the questions: Commentary on Dunn et al. (2011)
Roger Levy and Hal Daumé III
Unpublished, 2011
[BibTeX]

Multiview Clustering with Incomplete Views
Piyush Rai, Anusua Trivedi, Hal Daumé III and Scott L. DuVall
NeurIPS Workshop on Machine Learning for Social Computing, 2010
[Abstract] [BibTeX]

Infinite Predictor Subspace Models for Multitask Learning
Piyush Rai and Hal Daumé III
Conference on Artificial Intelligence and Statistics (AI-Stats), 2010
[Abstract] [BibTeX]

Multitask Learning via Mixture of Linear Subspaces
Piyush Rai and Hal Daumé III
NeurIPS Workshop on Transfer Learning by Learning Rich Generative Models, 2010
[Abstract] [BibTeX]

A geometric view of conjugate priors
Arvind Agarwal and Hal Daumé III
Machine Learning Journal (MLJ), 2010
[Abstract] [BibTeX]

Markov Random Topic Fields
Hal Daumé III
Association for Computational Linguistics (ACL), 2009
[Abstract] [BibTeX]

Multi-Label Prediction via Sparse Infinite CCA
Piyush Rai and Hal Daumé III
Conference on Neural Information Processing Systems (NeurIPS), 2009
[Abstract] [BibTeX]

Bayesian Multitask Learning with Latent Hierarchies
Hal Daumé III
Conference on Uncertainty in Artificial Intelligence (UAI), 2009
[Abstract] [BibTeX]

Unsupervised Part of Speech Tagging Without a Lexicon
Adam R. Teichert and Hal Daumé III
NeurIPS Workshop on Grammar Induction, Representation of Language and Language Learning (GIRLLL), 2009
[BibTeX]

Non-Parametric Bayesian Model Areal Linguistics
Hal Daumé III
North American Chapter of the Association for Computational Linguistics (NAACL), 2009
[Abstract] [BibTeX]

Fast Search for Infinite Latent Feature Models
Piyush Rai and Hal Daumé III
NeurIPS Workshop on Non-parametric Bayes (NP-Bayes), 2009
[Abstract] [BibTeX]

Factor Regression Combining Heterogeneous Sources of Information
Amrish Kapoor, Piyush Rai and Hal Daumé III
NeurIPS Workshop on Learning From Multiple Sources with Applications to Robotics (LMS), 2009
[Abstract] [BibTeX]

Multitask Learning using Nonparametrically Learned Predictor Subspaces
Piyush Rai and Hal Daumé III
NeurIPS Workshop on Learning from Multiple Sources, 2009
[Abstract] [BibTeX]

A Bayesian Statistics Approach to Multiscale Coarse Graining
Pu Liu, Qiang Shi, Hal Daumé III and Gregory Voth
Journal of Chemical Physics (J.ChPhys), 2009
[Abstract] [BibTeX]

The Infinite Hierarchical Factor Regression Model
Piyush Rai and Hal Daumé III
Conference on Neural Information Processing Systems (NeurIPS), 2008
[BibTeX]

Fast search for Dirichlet process mixture models
Hal Daumé III
Eleventh International Conference on Artificial Intelligence and Statistics (AIStats), 2007
[Abstract] [BibTeX]

Bayesian Agglomerative Clustering with Coalescents
Yee Whye Teh, Hal Daumé III and Daniel Roy
Conference on Neural Information Processing Systems (NeurIPS), 2007
[Abstract] [BibTeX]

A Bayesian Model for Discovering Typological Implications
Hal Daumé III and Lyle Campbell
Conference of the Association for Computational Linguistics (ACL), 2007
[Abstract] [BibTeX]

Bayesian Query-Focused Summarization
Hal Daumé III and Daniel Marcu
Conference of the Association for Computational Linguistics (ACL), 2006
[Abstract] [BibTeX]

A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior
Hal Daumé III and Daniel Marcu
Journal of Machine Learning Research (JMLR), 2005
[Abstract] [BibTeX]

Supervised clustering with the Dirichlet process
Hal Daumé III and Daniel Marcu
NeurIPS Workshop on Learning With Structured Outputs (LwSO), 2004
[Abstract] [BibTeX]

Structured Prediction

Unsupervised Search-based Structured Prediction
Hal Daumé III
International Conference on Machine Learning (ICML), 2009
[Abstract] [BibTeX]

Search-based Structured Prediction
Hal Daumé III, John Langford and Daniel Marcu
Machine Learning Journal (MLJ), 2009
[Abstract] [BibTeX]

Structure Compilation: Trading Structure for Features
Percy Liang, Hal Daumé III and Dan Klein
International Conference on Machine Learning (ICML), 2008
[Abstract] [BibTeX]

Cross-Task Knowledge-Constrained Self Training
Hal Daumé III
Empirical Methods in Natural Language Processing (EMNLP), 2008
[Abstract] [BibTeX]

Practical Structured Learning Techniques for Natural Language Processing
Hal Daumé III
Ph.D. Thesis, 2006
[BibTeX]

Searn in Practice
Hal Daumé III, John Langford and Daniel Marcu
Unpublished, 2006
[Abstract] [BibTeX]

Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction
Errata: There are some technical errors in this paper; see On Learning Linear Ranking Functions for Beam Search by Xu and Fern, ICML 2007, at http://web.engr.oregonstate.edu/~afern/papers/beam-icml07.pdf for more details.
Hal Daumé III and Daniel Marcu
International Conference on Machine Learning (ICML), 2005
[Abstract] [BibTeX]

Search-Based Structured Prediction as Classification
Hal Daumé III, John Langford and Daniel Marcu
NeurIPS Workshop on Advances in Structured Learning for Text and Speech Processing (ASLTSP), 2005
[Abstract] [BibTeX]

NP Bracketing by Maximum Entropy Tagging and SVM Reranking
Hal Daumé III and Daniel Marcu
Empirical Methods in Natural Language Processing, 2004
[Abstract] [BibTeX]

Domain Adaptation/Multitask Learning

Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar and Hal Daumé III
International Conference on Machine Learning (ICML), 2012
[Abstract] [BibTeX]

Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Hal Daumé III and Suresh Venkatasubramanian
Conference on Artificial Intelligence and Statistics (AI-Stats), 2011
[Abstract] [BibTeX]

A Co-regularization Based Semi-supervised Domain Adaptation
Abhishek Kumar, Avishek Saha and Hal Daumé III
Conference on Neural Information Processing Systems (NeurIPS), 2010
[Abstract] [BibTeX]

Infinite Predictor Subspace Models for Multitask Learning
Piyush Rai and Hal Daumé III
Conference on Artificial Intelligence and Statistics (AI-Stats), 2010
[Abstract] [BibTeX]

Domain Adaptation meets Active Learning
Piyush Rai, Avishek Saha, Hal Daumé III and Suresh Venkatasubramanian
HLT/NAACL Workshop on Active Learning for NLP (ALNLP), 2010
[Abstract] [BibTeX]

Learning Multiple Tasks using Manifold Regularization
Arvind Agarwal, Samuel Gerber and Hal Daumé III
Conference on Neural Information Processing Systems (NeurIPS), 2010
[Abstract] [BibTeX]

Bayesian Multitask Learning with Latent Hierarchies
Hal Daumé III
Conference on Uncertainty in Artificial Intelligence (UAI), 2009
[Abstract] [BibTeX]

Cross-Task Knowledge-Constrained Self Training
Hal Daumé III
Empirical Methods in Natural Language Processing (EMNLP), 2008
[Abstract] [BibTeX]

Frustratingly Easy Domain Adaptation
Hal Daumé III
Conference of the Association for Computational Linguistics (ACL), 2007
🏆 Test of Time Award Nomination (2017)
[Abstract] [BibTeX]

Domain Adaptation for Statistical Classifiers
Hal Daumé III and Daniel Marcu
Journal of Artificial Intelligence Research (JAIR), 2006
[Abstract] [BibTeX]

Document Summarization

Bayesian Query-Focused Summarization
Hal Daumé III and Daniel Marcu
Conference of the Association for Computational Linguistics (ACL), 2006
[Abstract] [BibTeX]

Induction of Word and Phrase Alignments for Automatic Document Summarization
Hal Daumé III and Daniel Marcu
Computational Linguistics (CL), 2005
[Abstract] [BibTeX]

Bayesian Multi-Document Summarization at MSE
Hal Daumé III and Daniel Marcu
Workshop on Multilingual Summarization Evaluation (MSE), 2005
[Abstract] [BibTeX]

Bayesian Summarization at DUC and a Suggestion for Extrinsic Evaluation
Hal Daumé III and Daniel Marcu
Document Understanding Conference (DUC), 2005
[Abstract] [BibTeX]

Linguistics

Computational methods are invaluable for typology, but the models must match the questions: Commentary on Dunn et al. (2011)
Roger Levy and Hal Daumé III
Unpublished, 2011
[BibTeX]

Non-Parametric Bayesian Model Areal Linguistics
Hal Daumé III
North American Chapter of the Association for Computational Linguistics (NAACL), 2009
[Abstract] [BibTeX]

A Bayesian Model for Discovering Typological Implications
Hal Daumé III and Lyle Campbell
Conference of the Association for Computational Linguistics (ACL), 2007
[Abstract] [BibTeX]

Asymmetry of Coordination
Hal Daumé III
Unpublished, 2001
[Abstract] [BibTeX]

Programming Languages

Yet Another Haskell Tutorial
Hal Daumé III
Unpublished, 2002
[BibTeX]



credits: design and font inspired by Seth Able's LoRD, some images converted to ANSI using ManyTools, original drawing of me by anonymous.
last updated on twenty eight january, two thousand twenty four.