Hal Daumé III

Orcid: 0000-0002-3760-345X

Affiliations:
  • University of Maryland, College Park, MD, USA


According to our database1, Hal Daumé III authored at least 226 papers between 2001 and 2024.

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Bibliography

2024
Seamful XAI: Operationalizing Seamful Design in Explainable AI.
Proc. ACM Hum. Comput. Interact., 2024

Natural Language Inference Improves Compositionality in Vision-Language Models.
CoRR, 2024

Anti-stereotypical Predictive Text Suggestions Do Not Reliably Yield Anti-stereotypical Writing.
CoRR, 2024

A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions.
CoRR, 2024

PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem.
CoRR, 2024

Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features.
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

"You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Multilingual large language models leak human stereotypes across language boundaries.
CoRR, 2023

Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators.
CoRR, 2023

Progressively Efficient Learning.
CoRR, 2023

Evaluating the Social Impact of Generative AI Systems in Systems and Society.
CoRR, 2023

What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems.
CoRR, 2023

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition.
CoRR, 2023

A Cognitive Evaluation of Instruction Generation Agents tl;dr They Need Better Theory-of-Mind Capabilities.
CoRR, 2023

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hallucination Detection for Grounded Instruction Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Human-Centered Explainable AI (HCXAI): Coming of Age.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Factual or Contextual? Disentangling Error Types in Entity Description Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FairPrism: Evaluating Fairness-Related Harms in Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Heterogeneous Supervised Topic Models.
Trans. Assoc. Comput. Linguistics, 2022

Spoken language interaction with robots: Recommendations for future research.
Comput. Speech Lang., 2022

How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?
CoRR, 2022

Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

A Framework for Learning to Request Rich and Contextually Useful Information from Humans.
Proceedings of the International Conference on Machine Learning, 2022

Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review.
Proc. ACM Hum. Comput. Interact., 2021

Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework.
CoRR, 2021

Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation.
CoRR, 2021

A Human-Centered Interpretability Framework Based on Weight of Evidence.
CoRR, 2021

Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle.
Comput. Linguistics, 2021

Datasheets for datasets.
Commun. ACM, 2021

Responsible computing during COVID-19 and beyond.
Commun. ACM, 2021

Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence.
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021

Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Analyzing Stereotypes in Generative Text Inference Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Meta-Learning Effective Exploration Strategies for Contextual Bandits.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields.
IEEE Trans. Learn. Technol., 2020

A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions.
CoRR, 2020

Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms.
CoRR, 2020

Towards Automatic Generation of Questions from Long Answers.
CoRR, 2020

Operationalizing the Legal Principle of Data Minimization for Personalization.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

The meaning and measurement of bias: lessons from natural language processing.
Proceedings of the FAT* '20: Conference on Fairness, 2020

On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Meta-Learning for Few-Shot NMT Adaptation.
Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

Toward Gender-Inclusive Coreference Resolution.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Active Imitation Learning with Noisy Guidance.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Language (Technology) is Power: A Critical Survey of "Bias" in NLP.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Active Learning for Cost-Sensitive Classification.
J. Mach. Learn. Res., 2019

Weight of Evidence as a Basis for Human-Oriented Explanations.
CoRR, 2019

Global Voices: Crossing Borders in Automatic News Summarization.
CoRR, 2019

Meta-Learning for Contextual Bandit Exploration.
CoRR, 2019

Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Reinforcement Learning with Convex Constraints.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Answer-based Adversarial Training for Generating Clarification Questions.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback.
Proceedings of the 36th International Conference on Machine Learning, 2019

Non-Monotonic Sequential Text Generation.
Proceedings of the 36th International Conference on Machine Learning, 2019

Contextual Memory Trees.
Proceedings of the 36th International Conference on Machine Learning, 2019

Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Controlling the Specificity of Clarification Question Generation.
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

2018
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks.
Proceedings of the 27th USENIX Security Symposium, 2018

Hierarchical Imitation and Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback.
Proceedings of the 6th International Conference on Learning Representations, 2018

Content Selection in Deep Learning Models of Summarization.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings.
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

2017
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task.
CoRR, 2017

The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task.
Proceedings of the Second Conference on Machine Translation, 2017

Logarithmic Time One-Against-Some.
Proceedings of the 34th International Conference on Machine Learning, 2017

Structured Prediction via Learning to Search under Bandit Feedback.
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Biomedical Event Extraction using Abstract Meaning Representation.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

Unsupervised Learning of Evolving Relationships Between Literary Characters.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning Reductions That Really Work.
Proc. IEEE, 2016

Predicting the impact of scientific concepts using full-text features.
J. Assoc. Inf. Sci. Technol., 2016

Large Scale Retrieval and Generation of Image Descriptions.
Int. J. Comput. Vis., 2016

Opponent Modeling in Deep Reinforcement Learning.
CoRR, 2016

A Framework for Discriminative Rule Selection in Hierarchical Moses.
Proceedings of the First Conference on Machine Translation, 2016

CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

A Credit Assignment Compiler for Joint Prediction.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships.
Proceedings of the NAACL HLT 2016, 2016

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation.
Proceedings of the NAACL HLT 2016, 2016

The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health.
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016

Learning Text Pair Similarity with Context-sensitive Autoencoders.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Modeling Evolving Relationships Between Characters in Literary Novels.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Short Text Representation for Detecting Churn in Microblogs.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Synchronous Machine Translation (NII Shonan Meeting 2015-10).
NII Shonan Meet. Rep., 2015

Parser for Abstract Meaning Representation using Learning to Search.
CoRR, 2015

Modeling Dynamic Relationships Between Characters in Literary Novels.
CoRR, 2015

Learning to Search for Dependencies.
CoRR, 2015

Dialogue focus tracking for zero pronoun resolution.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Hands-on Learning to Search for Structured Prediction.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Learning to Search Better than Your Teacher.
Proceedings of the 32nd International Conference on Machine Learning, 2015

On Correcting Inputs: Inverse Optimization for Online Structured Prediction.
Proceedings of the 35th IARCS Annual Conference on Foundation of Software Technology and Theoretical Computer Science, 2015

Syntax-based Rewriting for Simultaneous Machine Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Why discourse affects speakers' choice of referring expressions.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Deep Unordered Composition Rivals Syntactic Methods for Text Classification.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Target-Dependent Churn Classification in Microblogs.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Integrating a Discriminative Classifier into Phrase-based and Hierarchical Decoding.
Prague Bull. Math. Linguistics, 2014

Guest Editor's Introduction to the Special Issue on Domain Adaptation for Vision Applications.
Int. J. Comput. Vis., 2014

Efficient programmable learning to search.
CoRR, 2014

Learning to Search in Branch and Bound Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Uncovering hidden engagement patterns for predicting learner performance in MOOCs.
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

A Neural Network for Factoid Question Answering over Paragraphs.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

"I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Understanding MOOC Discussion Forums using Seeded LDA.
Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, 2014

A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Predicting Instructor's Intervention in MOOC forums.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Learning Latent Engagement Patterns of Students in Online Courses.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Measuring Machine Translation Errors in New Domains.
Trans. Assoc. Comput. Linguistics, 2013

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

Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation.
J. Am. Medical Informatics Assoc., 2013

A Computational Model for Plot Units.
Comput. Intell., 2013

Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Predictable Dual-View Hashing.
Proceedings of the 30th International Conference on Machine Learning, 2013

Discriminatively Enhanced Topic Models.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Kernel regression for Head-Related Transfer Function interpolation and spectral extrema extraction.
Proceedings of the IEEE International Conference on Acoustics, 2013

Monolingual Marginal Matching for Translation Model Adaptation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Dynamic Feature Selection for Dependency Parsing.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

SenseSpotting: Never let your parallel data tie you to an old domain.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering.
ACM Trans. Intell. Syst. Technol., 2012

Protocols for Learning Classifiers on Distributed Data.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learned Prioritization for Trading Off Accuracy and Speed.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Imitation Learning by Coaching.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Low-Dimensional Discriminative Reranking.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Detecting Visual Text.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Transfer learning in language.
Proceedings of the 2012 Symposium on Machine Learning in Speech and Language Processing, 2012

Towards a Watson that sees: Language-guided action recognition for robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Flexible Modeling of Latent Task Structures in Multitask Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

A Binary Classification Framework for Two-Stage Multiple Kernel Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

Learning Task Grouping and Overlap in Multi-task Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

Sensor Network Localization for Moving Sensors.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Regularized Interlingual Projections: Evaluation on Multilingual Transliteration.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Fast Large-Scale Approximate Graph Construction for NLP.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Sketch Algorithms for Estimating Point Queries in NLP.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Besting the Quiz Master: Crowdsourcing Incremental Classification Games.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Midge: Generating Image Descriptions From Computer Vision Detections.
Proceedings of the EACL 2012, 2012

Incorporating Lexical Priors into Topic Models.
Proceedings of the EACL 2012, 2012

Generalized Multiview Analysis: A discriminative latent space.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Understanding and predicting importance in images.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Efficient Protocols for Distributed Classification and Optimization.
Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2011
Online Learning of Multiple Tasks and Their Relationships.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Generative Kernels for Exponential Families.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Generating Semantic Orientation Lexicon using Large Data and Thesaurus.
Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, 2011

Active Supervised Domain Adaptation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Co-regularized Multi-view Spectral Clustering.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Message-Passing for Approximate MAP Inference with Latent Variables.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Beam Search based MAP Estimates for the Indian Buffet Process.
Proceedings of the 28th International Conference on Machine Learning, 2011

A Co-training Approach for Multi-view Spectral Clustering.
Proceedings of the 28th International Conference on Machine Learning, 2011

Corpus-Guided Sentence Generation of Natural Images.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Improving Bilingual Projections via Sparse Covariance Matrices.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Approximate Scalable Bounded Space Sketch for Large Data NLP.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Using classifier cascades for scalable e-mail classification.
Proceedings of the 8th Annual Collaboration, 2011

From Bilingual Dictionaries to Interlingual Document Representations.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Domain Adaptation for Machine Translation by Mining Unseen Words.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Beyond Structured Prediction: Inverse Reinforcement Learning.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

A Corpus-Guided Framework for Robotic Visual Perception.
Proceedings of the Language-Action Tools for Cognitive Artificial Agents, 2011

Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
A geometric view of conjugate priors.
Mach. Learn., 2010

Infinite Predictor Subspace Models for Multitask Learning.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Co-regularization Based Semi-supervised Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning Multiple Tasks using Manifold Regularization.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Automatically Producing Plot Unit Representations for Narrative Text.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Extracting Multilingual Topics from Unaligned Comparable Corpora.
Proceedings of the Advances in Information Retrieval, 2010

Exploiting tag and word correlations for improved webpage clustering.
Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents, 2010

Sketching Techniques for Large Scale NLP.
Proceedings of the Sixth Web as Corpus Workshop, 2010

Kernelized Sorting for Natural Language Processing.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Search-based structured prediction.
Mach. Learn., 2009

Bayesian Query-Focused Summarization
CoRR, 2009

Bayesian Multitask Learning with Latent Hierarchies.
Proceedings of the UAI 2009, 2009

Multi-Label Prediction via Sparse Infinite CCA.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Streaming for large scale NLP: Language Modeling.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Non-Parametric Bayesian Areal Linguistics.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Streamed Learning: One-Pass SVMs.
Proceedings of the IJCAI 2009, 2009

Exponential Family Hybrid Semi-Supervised Learning.
Proceedings of the IJCAI 2009, 2009

Unsupervised search-based structured prediction.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Markov Random Topic Fields.
Proceedings of the ACL 2009, 2009

2008
The Infinite Hierarchical Factor Regression Model.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

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

Cross-Task Knowledge-Constrained Self Training.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Name Translation in Statistical Machine Translation - Learning When to Transliterate.
Proceedings of the ACL 2008, 2008

2007
Fast search for Dirichlet process mixture models.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Bayesian Agglomerative Clustering with Coalescents.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Bayesian Model for Discovering Typological Implications.
Proceedings of the ACL 2007, 2007

Frustratingly Easy Domain Adaptation.
Proceedings of the ACL 2007, 2007

2006
Domain Adaptation for Statistical Classifiers.
J. Artif. Intell. Res., 2006

Beyond EM: Bayesian Techniques for Human Language Technology Researchers.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Bayesian Query-Focused Summarization.
Proceedings of the ACL 2006, 2006

2005
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior.
J. Mach. Learn. Res., 2005

Induction of Word and Phrase Alignments for Automatic Document Summarization.
Comput. Linguistics, 2005

A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model.
Proceedings of the HLT/EMNLP 2005, 2005

Learning as search optimization: approximate large margin methods for structured prediction.
Proceedings of the Machine Learning, 2005

2004
Book Review, Inderjeet Mani: Automatic Summarization, John Benjamins Publishing, Amsterdam, The Netherlands, 2001, xi + 286 pp.
Mach. Transl., 2004

Web Search Intent Induction via Automatic Query Reformulation.
Proceedings of HLT-NAACL 2004: Short Papers, Boston, Massachusetts, USA, May 2-7, 2004, 2004

NP Bracketing by Maximum Entropy Tagging and SVM Reranking.
Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

A Phrase-Based HMM Approach to Document/Abstract Alignment.
Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

2002
The Importance of Lexicalized Syntax Models for Natural Language Generation Tasks.
Proceedings of the International Natural Language Generation Conference, 2002

A Noisy-Channel Model for Document Compression.
Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, 2002

2001
Integrated Information Management: An Interactive, Extensible Architecture for Information Retrieval.
Proceedings of the First International Conference on Human Language Technology Research, 2001


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