Research Area Publications by Year

2016

Effective Crowd Annotation for Relation Extraction

A. Liu, S. Soderland, J. Bragg, C.H. Lin, X. Ling, D.S. Weld15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2016), 2016.

Optimal Testing for Crowd Workers

J. Bragg,  Mausam, D.S. Weld15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), 2016.

Re-active Learning: Active Learning with Relabeling

C.H. Lin,  Mausam, D.S. WeldAAAI Conference on Artificial Intelligence, 2016.

Learning Prototypical Event Structure from Photo Albums

A. Bosselut, J. Chen, D. Warren, H. Hajishirzi, Y. ChoiConference of the Association for Computational Linguistics (ACL), 2016.
Downloads: WEB DATA 

LSTM CCG Parsing

M. Lewis, K. Lee, L. ZettlemoyerConference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.

Situation Recognition: Visual Semantic Role Labeling for Image Understanding

M. Yatskar, L. Zettlemoyer, A. FarhadiProceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2016.
Downloads: WEB DATA DEMO 

Human-in-the-Loop Parsing

L. He, J. Michael, M. Lewis, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP), 2016.

NEOL: Toward Never-Ending Object Learning for Robots

Y. Sun, D. FoxIEEE International Conference on Robotics and Automation (ICRA), 2016.

Summarizing Source Code using a Neural Attention Model

S. Iyer, Y. Konstas, A. Cheung, L. ZettlemoyerAnnual Meeting of the Association for Computational Linguistics (ACL), 2016.
Downloads: CODE 

A Theme-Rewriting Approach for Generating Algebra Word Problems

R. Koncel-Kedziorski, I. Konstas, L. Zettlemoyer, H. HajishirziConference on Empirical Methods in Natural Language Processing (EMNLP), 2016.

Global Neural CCG Parsing with Optimality Guarantees

K. Lee, M. Lewis, L. ZettlemoyerConference on Empirical Methods in Natural Language Process (EMNLP), 2016.  *Best Paper Award*

Document-level Sentiment Inference with Social, Faction, and Discourse Context

E. Choi, H. Rashkin, L. Zettlemoyer, Y. ChoiConference of the Association for Computational Linguistics (ACL), 2016.

Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects

H. Bagherinezhad, H. Hajishirzi, Y. Choi, A. FarhadiAssociation for the Advancement of Artificial Intelligence (AAAI), 2016.

Evaluating Task-Dependent Taxonomies for Navigation

Y. Sun, A. Singla, T. Yan, A. Krause, D. FoxForth AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2016.

Globally Coherent Text Generation with Neural Checklist Models

C. Kiddon, L. Zettlemoyer, Y. ChoiConference on Empirical Methods in Natural Language Processing (EMNLP), 2016.

2015

Entity Analysis with Weak Supervision: Typing, Linking, and Attribute Extraction

X. LingComputer Science and EngineeringUniversity of Washington PhD, 2015.
Downloads: PDF 

Relation Extraction: from Ontological Smoothing to Temporal Correspondence

C. ZhangComputer Science and EngineeringUniversity of Washington PhD, 2015.
Downloads: PDF 

Artificial Intelligence and Collective Intelligence

D.S. Weld,  Mausam, C. Lin, J. BraggThe Collective Intelligence Handbook (Thomas Malone & Michael Bernstein, eds.)MIT Press, 2015.

Reactive Learning: Actively Trading Off Larger Noisier Training Sets Against Smaller Cleaner Ones

C.H. Lin,  Mausam, D.S. WeldICML Workshop on Crowdsourcing and Machine Learning and ICML Active Learning Workshop, 2015.

Recursive Decomposition for Nonconvex Optimization

A.L. Friesen, P. DomingosInternational Joint Conference on Artificial Intelligence, 2015.

Learning on the Job: Optimal Instruction for Crowdsourcing

J. Bragg,  Mausam, D.S. WeldICML ’15 Workshop on Crowdsourcing and Machine Learning, 2015.

Design Challenges for Entity Linking

X. Ling, S. Singh, D.S. WeldTransactions of the Association for Computational Linguistics 3, 2015.

Exploiting Parallel News Streams for Unsupervised Event Extraction

C. Zhang, S. Soderland, D.S. WeldTransactions of the Association for Computational Linguistics (TACL) 3, 2015.  

Crawled parallel news streams are available at

http://www.cs.washington.edu/ai/clzhang/sentences.tokens.gz http://www.cs.washington.edu/ai/clzhang/sentences.articleIDs.gz

The github url of this project: https://github.com/zhangcongle/NewsSpikeRe

Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language

L. He, M. Lewis, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP), 2015.
Downloads: CODE and DATA SLIDES 

Learning to Name Objects

V. Ordonez, W. Liu, J. Deng, Y. Choi, A.C. Berg, T.L. BergCommunications of the ACM (CACM), 2015.  (invited article)

Refer-to-as Relations as Semantic Knowledge

S. Feng, S. Ravi, R. Kumar, P. Kuznetsova, W. Liu, A.C. Berg, T.L. Berg, Y. ChoiAAAI Conference on Artificial Intelligence, 2015.

Scalable Semantic Parsing with Partial Ontologies

E. Choi, T. Kwiatkowski, L. ZettlemoyerAssociation for Computational Linguistics (ACL), 2015.

Learning Relational Sum-Product Networks

A. Nath, P. DomingosAAAI Conference on Artificial Intelligence, 2015.

Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing

H. Izadinia, F. Sadeghi, S.Kumar Divvala, H. Hajishirzi, Y. Choi, A. FarhadiInternational Conference on Computer Vision (ICCV), 2015.  (oral)

Robot Programming by Demonstration with Situated Spatial Language Understanding

M. Forbes, R.P.N. Rao, L. Zettlemoyer, M. CakmakInternational Conference on Robotics and Automation (ICRA), 2015.

Personalized Mathematical Word Problem Generation

O. Polozov, E. O'Rourke, A.M. Smith, L. Zettlemoyer, S. Gulwani, Z. PopovićInternational Joint Conference on Artificial Intelligence (IJCAI), 2015.

Building Hierarchies of Concepts via Crowdsourcing

Y. Sun, A. Singla, D. Fox, A. KrauseIJCAI, 2015.

Building Hierarchies of Concepts via Crowdsourcing

Y. Sun, A. Singla, D. Fox, A. KrauseInternational Joint Conferences on Artificial Intelligence, 2015.

Joint A CCG Parsing and Semantic Role Labeling

M. Lewis, L. He, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP), 2015.
Downloads: CODE SLIDES DEMO 

Déjà Image-Captions: A Corpus of Expressive Image Descriptions in Repetition

J. Chen, P. Kuznetsova, D. Warren, Y. ChoiNorth American Chapter of the Association for Computational Linguistics (NAACL), 2015.

Event Detection and Factuality Assessment with Non-Expert Supervision

K. Lee, Y. Artzi, Y. Choi, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP), 2015.
Downloads: POSTER SLIDES DATA 

Mise en Place: Unsupervised Interpretation of Instructional Recipes

C. Kiddon, G.Thandavam Ponnuraj, L. Zettlemoyer, Y. ChoiConference on Empirical Methods in Natural Language Processing (EMNLP), 2015.

Broad-coverage CCG Semantic Parsing with AMR

Y. Artzi, K. Lee, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP), 2015.  *Best Paper Award*

Gaussian Processes for Data-Efficient Learning in Robotics and Control

M. Deisenroth, D. Fox, C.E. RasmussenIEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 37:2, 2015.
Downloads: PDF 

2014

To Re(label), or Not To Re(label)

C.H. Lin,  Mausam, D.S. WeldAAAI Conference on Human Computation and Crowdsourcing, 2014.

Parallel Task Routing for Crowdsourcing

J. Bragg, A. Kolobov,  Mausam, D.S. WeldAAAI Conference on Human Computation and Crowdsourcing, 2014.

Type-Aware Distantly Supervised Relation Extraction with Linked Arguments

M. Koch, J. Gilmer, S. Soderland, D.S. WeldConference on Empirical Methods in Natural Language Processing (EMNLP), 2014.

Open Question Answering Over Curated and Extracted Knowledge Bases

A. Fader, O. Etzioni, L. ZettlemoyerConference on Knowledge Discovery and Data Mining (KDD), 2014.
Downloads: CODE DATA 

Learning to Solve Arithmetic Word Problems with Verb Categorization

M.J. Hosseini, H. Hajishirzi, O. Etzioni, N. KushmanConference on Empirical Methods in Natural Language Processing (EMNLP), 2014.

See No Evil, Say No Evil: Description Generation from Densely Labeled Images

M. Yatskar, M. Galley, L. Vanderwende, L. ZettlemoyerJoint Conference on Lexical and Computation Semantics (*SEM), 2014.

Learning to Automatically Solve Algebra Word Problems

N. Kushman, Y. Artzi, L. Zettlemoyer, R. BarzilayAssociation for Computational Linguistics (ACL), 2014.

Toward Online 3-D Object Segmentation and Mapping

E. Herbst, P. Henry, D. FoxIEEE International Conference on Robotics and Automation (ICRA), 2014.

TreeTalk: Composition and compression of trees for image descriptions

P. Kuznetsova, V. Ordonez, T.L. Berg, Y. ChoiTransactions of the Association for Computational Linguistics (TACL) 2, 2014.

Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond

M. Niepert, P. DomingosWorkshop on Statistical Relational AI, 2014.

Tractability through Exchangeability: A New Perspective on Efficient Lifted Inference

M. Niepert, G. Van den BroeckWorkshop on Statistical Relational AI, 2014.

Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions

C. Matuszek, L. Bo, L. Zettlemoyer, D. FoxConference on Artificial Intelligence (AAAI), 2014.

Introduction to the special issue on learning semantics.

A. Bordes, L. Bottou, R. Collobert, D. Roth, J. Weston, L. ZettlemoyerMachine Learning 94, 2014.

Automated Debugging with Tractable Probabilistic Programming

A. Nath, P. DomingosWorkshop on Statistical Relational AI, 2014.

Approximate Lifting Techniques for Belief Propagation

P. Singla, A. Nath, P. DomingosAAAI Conference on Artificial Intelligence, 2014.

Keystroke Patterns as Prosody in Digital Writings: A Case Study with Deceptive Reviews and Essays

R. Banerjee, S. Feng, J.Seok Kang, Y. ChoiEmpirical Methods in Natural Language Processing (EMNLP), 2014.

Autonomous Scene Exploration with RGB-D Cameras

E. Herbst, D. Fox:UW-CSE-14-05-03, 2014.
Downloads: PDF 

Accelerating Imitation Learning through Crowdsourcing

M. Chung, M. Forbes, M. Cakmak, R.P.N. RaoIEEE International Conference on Robotics and Automation (ICRA), 2014.

ConnotationWordNet: Learning Connotation over the Word+Sense Network

J.Seok Kang, S. Feng, L. Akoglu, Y. ChoiAssociation for Computational Linguistics (ACL), 2014.

Context Representation for Named Entity Linking

X. Ling, S. Singh, D.S. Weld3rd Pacific Northwest Regional NLP Workshop, 2014.

Context-dependent Semantic Parsing for Time Expressions

K. Lee, Y. Artzi, J. Dodge, L. ZettlemoyerAssociation for Computational Linguistics (ACL), 2014.
Downloads: DEMO CODE TOOL 

2013

RGB-D Cameras for 3D Modeling and Recognition

X. Ren, D. Fox, K. KonoligeRobotics & Automation Magazine 20, 2013.
Downloads: Link 

Towards a Language for Non-Expert Specification of POMDPs for Crowdsourcing

C.H. Lin,  Mausam, D.S. WeldConference on Human Computation & Crowdsourcing (HCOMP) Works in Progress TrackAAAI Press, 2013.

Open Information Extraction to KBP Relation in 3 Hours

S. Soderland, J. Gilmer, R. Bart, O. Etzioni, D.S. WeldText Analysis Conference - Knowledge Base Propagation (KBP), 2013.
Downloads: PDF 

Crowdsourcing Multi-Label Classification for Taxonomy Creation

J. Bragg,  Mausam, D.S. WeldConference on Human Computation & Crowdsourcing (HCOMP)AAAI Press, 2013.   Awarded Best Paper

Harvesting Parallel News Streams to Generate Paraphrases of Event Relations

C. Zhang, D.S. WeldConference on Empirical Methods in Natural Language Processing (EMNLP), 2013.
Downloads: datasets 

Probabilistic co-adaptive brain–computer interfacing

M.J. Bryan, S.A. Martin, W. Cheung, R.P.N. RaoJournal of Neural Engineering 10:6, 2013.

Extracting Meronyms for a Biology Knowledge Base using Distant Supervision

X. Ling, P. Clark, D.S. WeldACM Workshop on Automatic Knowledge-Base ConstructionACM, 2013.

POMDP-based control of workflows for crowdsourcing

P. Dai, C. Lin,  Mausam, D.S. WeldArtificial Intelligence 202, 2013.

Learning the Structure of Sum-Product Networks

R. Gens, P. DomingosInternational Conference on Machine LearningOmnipress, 2013.
Downloads: PDF 

Scaling semantic parsers with on-the-fly ontology matching

T. Kwiatkowski, E. Choi, Y. Artzi, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP), 2013.

Structured sparse learning of multiple Gaussian graphical model

K. Mohan, M. Chung, S. Han, D. Witten, S.I. Lee, M. FazelAdvances in Neural Information Processing Systems (NIPS), 2013.

RGB-D Flow: Dense 3-D Motion Estimation Using Color and Depth

E. Herbst, X. Ren, D. FoxIEEE International Conference on Robotics and Automation (ICRA), 2013.
Downloads: PDF 

Paraphrase-Driven Learning for Open Question Answering

A. Fader, L. Zettlemoyer, O. EtzioniAssociation for Computational Linguistics (ACL), 2013.
Downloads: CODE DATA 

Multipath Sparse Coding Using Hierarchical Matching Pursuit

L. Bo, X. Ren, D. FoxIEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Downloads: PDF BIB 

Success with Style: Using Writing Style to Predict the Success of Novels

V.Ganjigunte Ashok, S. Feng, Y. ChoiEmpirical Methods in Natural Language Processing (EMNLP), 2013.

Tractable Probabilistic Knowledge Bases with Existence Uncertainty

A. Webb, P. DomingosWorkshop on Statistical Relational AI, 2013.

3D Wikipedia: using online text to automatically label and navigate reconstructed geometry

B.C. Russell, R. Martin-Brualla, D.J. Butler, S.M. Seitz, L. ZettlemoyerACM Trans. Graph. (SIGGRAPH Asia) 32, 2013.
Downloads: VIDEO 

Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews

J. Kang, P. Kuznetsova, M. Luca, Y. ChoiEmpirical Methods in Natural Language Processing (EMNLP), 2013.

Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions.

Y. Artzi, L. ZettlemoyerTransactions of the Association for Computational Linguistics (TACL) 1, 2013.
Downloads: CODE 

Understanding and Quantifying Creativity in Lexical Composition

P. Kuznetsova, J. Chen, Y. ChoiEmpirical Methods in Natural Language Processing (EMNLP), 2013.

Modeling Missing Data in Distant Supervision for Information Extraction.

A. Ritter, L. Zettlemoyer,  Mausam, O. EtzioniTransactions of the Association for Computational Linguistics (TACL) 1, 2013.
Downloads: SLIDES 

RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark

K. Lai, L. Bo, X. Ren, D. FoxConsumer Depth Cameras for Computer Vision: Research Topics and Applications, 2013.
Downloads: LINK bibtex 

“Can you give me another word for hyperbaric?”: Improving speech translation using targeted clarification questions

N.Fazil Ayan, A. Mandal, M. Frandsen, J. Zheng, P. Blasco, A. Kathol, F. Béchet, B. Favre, A. Marin, T. Kwiatkowski, M. Ostendorf, L. Zettlemoyer, P. Salletmayr, J. Hirschberg, S. StoyanchevIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)IEEE, 2013.

Compact RGBD surface models based on sparse coding

M. Ruhnke, L. Bo, D. Fox, W. BurgardProc. of the AAAI Conference on Artificial Intelligence, 2013.
Downloads: PDF 

BabyTalk: Understanding and Generating Simple Image Descriptions

G. Kulkarni, V. Premraj, V. Ordonez, S. Dhar, S. Li, Y. Choi, A.C. Berg, T.L. BergIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 35, 2013.

Lightly Supervised Learning of Procedural Dialog Systems

S. Volkova, P. Choudhury, C. Quirk, B. Dolan, L.S. ZettlemoyerAssociation for Computational Linguistics (ACL), 2013.

Attribute Based Object Identification

Y. Sun, L. Bo, D. FoxIEEE International Conference on Robotics and Automation (ICRA), 2013.
Downloads: PDF 

Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning

S. Feng, J.Seok Kang, P. Kuznetsova, Y. ChoiAssociation for Computational Linguistics (ACL), 2013.

Automatic Idiom Identification in Wiktionary

G. Muzny, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP), 2013.
Downloads: DATA CODE 

Learning Distributions over Logical Forms for Referring Expression Generation.

N. FitzGerald, Y. Artzi, L.S. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP), 2013.
Downloads: DATA 

From Large Scale Image Categorization to Entry-Level Categories

V. Ordonez, J. Deng, Y. Choi, A.C. Berg, T.L. BergIEEE International Conference on Computer Vision (ICCV), 2013.   Awarded Best Paper

Learning to Relate Literal and Sentimental Descriptions of Visual Properties.

M. Yatskar, S. Volkova, A. Celikyilmaz, B. Dolan, L.S. ZettlemoyerNorth American Association for Computational Linguistics (NAACL), 2013.

Generalizing Image Captions for Image-Text Parallel Corpus

P. Kuznetsova, V. Ordonez, A.C. Berg, T.L. Berg, Y. ChoiAssociation for Computational Linguistics (ACL), 2013.

2012

CoSolve: A System for Engaging Users in Computer-Supported Collaborative Problem Solving

S.B. Fan, T. Robison, S.L. TanimotoInt'l. Symp. on Visual Languages and Human-Centric Computing, 2012.

Discovering Hidden Structure in Factored MDPs

A. Kolobov,  Mausam, D.S. WeldArtificial Intelligence 189, 2012.

Open Domain Event Extraction from Twitter

A. Ritter,  Mausam, O. Etzioni, S. ClarkKDD, 2012.
Downloads: PDF 

A Theory of Goal-Oriented MDPs with Dead Ends

A. Kolobov,  Mausam, D. WeldConference on Uncertainty in Artificial Intelligence (UAI), 2012.

Crowdsourcing Control: Moving Beyond Multiple Choice

C.H. Lin,  Mausam, D.S. WeldConference on Uncertainty in Artificial Intelligence, 2012.

3D Object Retrieval Using Salient Views

I. Atmosukarto, L.G. ShapiroInternational Journal of Multimedia Information Retrieval, 2012.

Discriminative Learning for Joint Template Filling

E. Minkov, L. ZettlemoyerAssociation for Computational Linguistics (ACL), 2012.

Open Language Learning for Information Extraction

Mausam, M. Schmitz, R. Bart, S. Soderland, O. EtzioniConference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CONLL), 2012.

No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities

T. Lin,  Mausam, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2012.

Dynamically Switching between Synergistic Workflows for Crowdsourcing

C.H. Lin,  Mausam, D.S. WeldAAAI Conference on Artificial Intelligence, 2012.
Downloads: PDF 

Unsupervised Feature Learning for RGB-D Based Object Recognition

L. Bo, X. Ren, D. FoxISER, 2012.
Downloads: PDF bibtex 

Entity Linking at Web Scale

T. Lin,  Mausam, O. EtzioniJoint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012.

Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors

A. Kolobov, P. Dai,  Mausam, D.S. WeldICAPS, 2012.

A Joint Model of Language and Perception for Grounded Attribute Learning

C. Matuszek, N. FitzGerald, L. Zettlemoyer, L. Bo, D. FoxProceedings of the International Conference on Machine Learning (ICML), 2012.

Learning to Parse Natural Language Commands to a Robot Control System

C. Matuszek, E. Herbst, L. Zettlemoyer, D. FoxInternational Symposium on Experimental Robotics (ISER), 2012.

Rel-grams: A Probabilistic Model of Relations in Text

N. Balasubramanian, S. Soderland,  Mausam, O. EtzioniJoint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX) at NAACL, 2012.

RGB-D Mapping: Using Kinect-Style Depth Cameras for Dense 3D Modeling of Indoor Environments

P. Henry, M. Krainin, E. Herbst, X. Ren, D. FoxInternational Journal of Robotics Research 31:5, 2012.
Downloads: PDF bibtex 

DuploTrack: A Realtime System for Authoring and Guiding Duplo Block Assembly

A. Gupta, D. Fox, B. Curless, M. CohenACM Symposium on User Interface Software and Technology (UIST), 2012.
Downloads: PDF Project page 

Learning Multiple Hierarchical Relational Clusterings

A. Nath, P. DomingosICML-12 Workshop on Statistical Relational Learning, 2012.

Interactive singulation of objects from a pile

L. Chang, J. Smith, D. FoxICRA, 2012.
Downloads: PDF 

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model

Y. Huang, A.L. Friesen, T.D. Hanks, M.N. Shadlen, R.P.N. RaoAdvances in Neural Information Processing Systems (NIPS), 2012.
Downloads: PDF bibtex 

Learning STRIPS Operators from Noisy and Incomplete Observations

K. Mourão, L.S. Zettlemoyer, R.P.A. Petrick, M. SteedmanConference on Uncertainty in Artificial Intelligence (UAI) abs/1210.4889, 2012.

Syntactic Stylometry for Deception Detection

S. Feng, R. Banerjee, Y. ChoiAssociation for Computational Linguistics (ACL), 2012.

Fine-Grained Entity Recognition

X. Ling, D.S. WeldAAAI Conference on Artificial Intelligence, 2012.
Downloads: Code 

RevMiner: an extractive interface for navigating reviews on a smartphone

J. Huang, O. Etzioni, L. Zettlemoyer, K. Clark, C. LeeProceedings of the ACM symposium on User interface software and technology (UIST)ACM, 2012.

ReGroup: Interactive Machine Learning for On-Demand Group Creation in Social Networks

S. Amershi, J. Fogarty, D.S. WeldProceedings of the ACM Conference on Human Factors in Computing Systems (CHI-12), 2012.

LRTDP vs. UCT for Online Probabilistic Planning

A. Kolobov,  Mausam, D.S. WeldAAAI Conference on Artificial Intelligence, 2012.

Distributional Footprints of Deceptive Product Reviews

S. Feng, L. Xing, A. Gogar, Y. ChoiInternational Conference on Weblogs and Social Media (ICWSM), 2012.

Characterizing Stylistic Elements in Syntactic Structure

S. Feng, R. Banerjee, Y. ChoiEmpirical Methods in Natural Language Processing (EMNLP), 2012.

Exploiting Segmentation for Robust 3D Object Matching

M. Krainin, K. Konolige, D. FoxICRA, 2012.
Downloads: PDF bibtex slides 

A Few Useful Things to Know about Machine Learning

P. DomingosCommunications of the ACM 55:10, 2012.

Collective Generation of Natural Image Descriptions

P. Kuznetsova, V. Ordonez, A.C. Berg, T.L. Berg, Y. ChoiAssociation for Computational Linguistics (ACL), 2012.

A Tractable First-Order Probabilistic Logic

P. Domingos, A. WebbTwenty-Sixth AAAI Conference on Artificial Intelligence, 2012.

Counting-MLNs: Learning Relational Structure for Decision Making

A. Nath, M. RichardsonAAAI Conference on Artificial Intelligence, 2012.

Detection-based Object Labeling in 3D Scenes

K. Lai, L. Bo, X. Ren, D. FoxICRA, 2012.
Downloads: PDF bibtex video code 

Discriminative Learning of Sum-Product Networks

R. Gens, P. DomingosNeural Information Processing Systems, 2012.
Downloads: PDF 

Detecting Visual Text

J. Dodge, A. Goyal, X. Han, A. Mensch, M. Mitchell, K. Stratos, K. Yamaguchi, Y. Choi, H. Daumé, A.C. Berg, T.L. BergNorth American Chapter of the Association of Computational Linguistics (NAACL), 2012.

2011

An ideal observer model for identifying the reference frame of objects

J. Austerweil, A. Friesen, T. GriffithsAnnual Conference on Neural Information Processing Systems, 2011.

Online Submodular Set Cover, Ranking, and Repeated Active Learning

A. Guillory, J. BilmesAnnual Conference on Neural Information Processing Systems, 2011.

Structure Learning for Optimization

C. ZhangAnnual Conference on Neural Information Processing Systems, 2011.

Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models

C. Kiddon, P. DomingosAAAI Conference on Artificial Intelligence, 2011.

Artificial Intelligence for Artificial Artificial Intelligence

P. Dai,  Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2011.

Human Intelligence Needs Artificial Intelligence

D. Weld,  Mausam, P. DaiHuman Computation Workshop, 2011.

Effective End-User Interaction with Machine Learning

S. Amershi, J. Fogarty, A. Kapoor, D. TanAAAI Conference on Artificial Intelligence, 2011.

Identifying Relations for Open Information Extraction

A. Fader, S. Soderland, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2011.

Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage

S. Amershi, B. Lee, A. Kapoor, R. Mahajan, B. ChristianInternational Joint Conference on Artificial Intelligence, 2011.

Named Entity Recognition in Tweets: An Experimental Study

A. Ritter, S. Clark,  Mausam, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2011.

Open Information Extraction: the Second Generation

O. Etzioni, A. Fader, J. Christensen, S. Soderland,  MausamInternational Joint Conference on Artificial Intelligence, 2011.

Using Multiple Models to Understand Data

K. Patel, S. Drucker, J. Fogarty, A. Kapoor, D. TanInternational Joint Conference on Artificial Intelligence, 2011.

Data-Driven Response Generation in Social Media

A. Ritter, C. Cherry, B. DolanConference on Empirical Methods in Natural Language Processing, 2011.

Gaze Following as Goal Inference: A Bayesian Model

A. Friesen, R. RaoConference of the Cognitive Science Society, 2011.

Lexical Generalization in CCG Grammar Induction for Semantic Parsing

T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. SteedmanProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.

A Hierarchical Architecture for Adaptive Brain-Computer Interfacing

Mike Chung, W. Cheung, R. Scherer, R. RaoInternational Joint Conference on Artificial Intelligence, 2011.

Bootstrapping Semantic Parsers from Conversations

Y. Artzi, L. ZettlemoyerConference on Empirical Methods in Natural Language Processing (EMNLP), 2011.

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations

R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, D. WeldProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2011.
Downloads: Source Code 

Heuristic Search for Generalized Stochastic Shortest Path MDPs

A. Kolobov,  Mausam, D. Weld, H. GeffnerInternational Conference on Automated Planning and Scheduling, 2011.

Question Detection In Spoken Conversations Using Textual Conversations

A. Margolis, M. OstendorfAnnual Meeting of the Association for Computational Linguistics, 2011.

An Analysis of Open Information Extraction based on Semantic Role Labeling

J. Christensen,  Mausam, S. Soderland, O. EtzioniInternational Conference on Knowledge Capture, 2011.

Word Alignment Via Submodular Maximization Over Matroids

H. Lin, J. BilmesAnnual Meeting of the Association for Computational Linguistics, 2011.

Parallel Coordinate Descent for L1-Regularized Loss Minimization

J. Bradley, A. Kyrola, D. Bickson, C. GuestrinInternational Conference on Machine Learning , 2011.

Towards Scalable MDP Algorithms

A. Kolobov,  Mausam, D. WeldTwenty-Second International Joint Conference on Artificial IntelligenceAAAI Press, 2011.
Downloads: PDF 

A Class of Submodular Functions for Document Summarization

H. Lin, J. BilmesAnnual Meeting of the Association for Computational Linguistics, 2011.

Predictive Coding

Y. Huang, R. RaoWiley Interdisciplinary Reviews, 2011.

Inference Over the Web

S. SchoenmackersPHD Thesis, 2011.

Implementing Weighted Abduction in Markov Logic

J. Blythe, J. Hobbs, P. Domingos, R. Kate, R. MooneyInternational Conference on Computational Semantics, 2011.

Learning General Connotation of Words using Graph-based Algorithms

S. Feng, R. Bose, Y. ChoiEmpirical Methods in Natural Language Processing (EMNLP), 2011.

Learning GP-BayesFilters via Gaussian Process Latent Variable Models

J. Ko, D. FoxAutonomous Robots 30:1, 2011.
Downloads: PDF 

Language of Vandalism: Improving Wikipedia Vandalism Detection via Stylometric Analysis

M. Harpalani, M. Hart, S. Signh, R. Johnson, Y. ChoiAssociation for Computational Linguistics (ACL), 2011.

Gender Attribution: Tracing Stylometric Evidence Beyond Topic and Genre

R. Sarawgi, K. Gajulapalli, Y. ChoiConference on Computational Natural Language Learning (CoNLL)Association for Computational Linguistics, 2011.

HeatWave: Thermal Imaging for Surface User Interaction

E. Larson, G. Cohn, S. Gupta, X. Ren, B. Harrison, D. Fox, S. PatelCHI, 2011.  Honorable Mention Award
Downloads: PDF 

Manipulator and Object Tracking for In-Hand 3D Object Modeling

M. Krainin, P. Henry, X. Ren, D. FoxInternational Journal of Robotics Research 30:9, 2011.
Downloads: PDF bibtex 

Sparse Distance Learning for Object Recognition Combining RGB and Depth Information

K. Lai, L. Bo, R. X., D. FoxICRA, 2011.  Best Vision Paper Award
Downloads: PDF bibtex slides 

Toward Object Discovery and Modeling via 3-D Scene Comparison

E. Herbst, P. Henry, X. Ren, D. FoxICRA, 2011.
Downloads: PDF slides bibtex 

RGB-D Object Discovery Via Multi-Scene Analysis

E. Herbst, X. Ren, D. FoxIROS, 2011.
Downloads: PDF slides bibtex 

Finding Deceptive Opinion Spam by Any Stretch of the Imagination

M. Ott, Y. Choi, C. Cardie, J.T. HancockAssociation for Computational Linguistics (ACL), 2011.

Object Recognition with Hierarchical Kernel Descriptors

L. Bo, K. Lai, X. Ren, D. FoxCVPR, 2011.
Downloads: PDF bibtex 

Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera

A. Huang, N. Roy, A. Bachrach, P. Henry, M. Krainin, D. Maturana, D. FoxISRR, 2011.
Downloads: PDF bibtex 

Baby talk: Understanding and generating simple image descriptions

G. Kulkarni, V. Premraj, S. Dhar, S. Li, Y. Choi, A.C. Berg, T.L. BergIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

Interactive 3D Modeling of Indoor Environments with a Consumer Depth Camera

H. Du, P. Henry, X. Ren, D. Fox, D. Goldman, S. SeitzUbiComp, 2011.
Downloads: PDF 

Depth Kernel Descriptors for Object Recognition

L. Bo, X. Ren, D. FoxIROS, 2011.
Downloads: PDF BIB Code 

A Large-Scale Hierarchical Multi-View RGB-D Object Dataset

K. Lai, L. Bo, X. Ren, D. FoxICRA, 2011.
Downloads: PDF bibtex poster dataset 

Gambit: An Autonomous Chess Playing Manipulator

C. Matuszek, B. Mayton, R. Aimi, L. Bo, M. Deisenroth, R. Chu, M. Kung, L. LeGrand, J. Smith, D. FoxICRA, 2011.
Downloads: PDF 

A Scalable Tree-based Approach for Joint Object and Pose Recognition

K. Lai, L. Bo, X. Ren, D. FoxAAAI, 2011.
Downloads: PDF bibtex slides 

Classification and Semantic Mapping of Urban Environments

B. Douillard, D. Fox, F. Ramos, H. Durrant-WhyteInternational Journal of Robotics Research 30:1, 2011.
Downloads: PDF 

Composing Simple Image Descriptions Using Web-scale N-grams

S. Li, G. Kulkarni, T.L. Berg, A.C. Berg, Y. ChoiConference on Computational Natural Language Learning (CoNLL)Association for Computational Linguistics, 2011.

Online Structure Learning for Markov Logic Networks

T. Huynh, R. MooneyThe European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.

PILCO: A Model-Based and Data-Efficient Approach to Policy Search

M. Deisenroth, C. RasmussenInternational Conference on Machine Learning, 2011.

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees

J. Gonzalez, Y. Low, A. Gretton, C. Guestrin14th International Conference on Artificial Intelligence and Statistics, 2011.

Probabilistic Theorem Proving

V. Gogate, P. DomingosUncertainty in Artificial Intelligence, 2011.

Sum-Product Networks: A New Deep Architecture

H. Poon, P. DomingosUncertainty in Artificial Intelligence, 2011.

Fault identification via non-parametric belief propagation

D. Bickson, D. Baron, A. Ihler, H. Avissar, D. DolevIEEE Transactions on Signal Processing, 2011.

Approximation by Quantization

V. Gogate, P. DomingosUncertainty in Artificial Intelligence, 2011.

2010

Learning Efficient Markov Networks

V. Gogate, W. Webb, P. DomingosAnnual Conference on Neural Information Processing Systems, 2010.

Lifted Inference Seen from the Other Side: The Tractable Features

A. Jha, V. Gogate, A. Meliou, D. SuciuAnnual Conference on Neural Information Processing Systems, 2010.

A rational decision making framework for inhibitory control

P. Shenoy, R. Rao, A. YuAnnual Conference on Neural Information Processing Systems, 2010.

Reducing Model Bias in Reinforcement Learning

M. Deisenroth, C. RasmussenAnnual Conference on Neural Information Processing Systems, 2010.

Approximate Inference by Compilation to Arithmetic Circuits

D. Lowd, P. DomingosAnnual Conference on Neural Information Processing Systems, 2010.

Commonsense from the Web: Relation Properties

T. Lin,  Mausam, O. EtzioniAAAI Fall Symposium Series, 2010.

Identifying Functional Relations in Web Text

T. Lin,  Mausam, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2010.

Inducing Probabilistic CCG Grammars from Logical Form with Higher-order Unification

T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. SteedmanProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2010.

Learning First-Order Horn Clauses from Web Text

S. Schoenmackers, J. Davis, O. Etzioni, D. WeldConference on Empirical Methods in Natural Language Processing, 2010.

Modeling and Reasoning about Success, Failure, and Intent of Multi-Agent Activities

A. Sadilek, H. KautzInternational Conference on Ubiquitous Computing, 2010.

Imitation Learning with Hierarchical Actions

A. Friesen, R. RaoIEEE International Conference on Development and Learning, 2010.

Reading Between the Lines: Learning to Map High-level Instructions to Commands

S.R.K. Branavan, L. Zettlemoyer, R. BarzilayProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2010.

Panlingual Lexical Translation via Probabilistic Inference

Mausam, S. Soderland, O. EtzioniAAAI Conference on Artificial Intelligence, 2010.

Open Information Extraction using Wikipedia

F. Wu, D. WeldAnnual Meeting of the Association for Computational Linguistics, 2010.

Recognizing Multi-Agent Activities from GPS Data

A. Sadilek, H. KautzAAAI Conference on Artificial Intelligence, 2010.

Unsupervised Ontology Induction from Text

H. Poon, P. DomingosAnnual Meeting of the Association for Computational Linguistics, 2010.

User-Specific Learning for Recognizing a Singer’s Intended Pitch

A. Guillory, S. Basu, D. MorrisAAAI Conference on Artificial Intelligence, 2010.

Temporal Information Extraction

X. Ling, D. WeldAAAI Conference on Artificial Intelligence, 2010.
Downloads: Data Set 

SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs

A. Kolobov,  Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2010.

Machine Reading: from Wikipedia to the Web

F. WuPHD Thesis, 2010.

Bayesian Abductive Logic Programs

S. Raghavan, R. MooneyWorkshop on Statistical Relational AI, 2010.

Approximate Lifted Belief Propagation

P. Singla, A. Nath, P. DomingosWorkshop on Statistical Relational AI, 2010.

A Latent Dirichlet Allocation method for Selectional Preferences

A. Ritter,  Mausam, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2010.

Decision-Theoretic Control for Crowdsourced Workflows

P. Dai,  Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2010.

Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models

D. Wyatt, T. Choudhury, J. BilmesAAAI Conference on Artificial Intelligence, 2010.

Efficient Lifting for Online Probabilistic Inference

A. Nath, P. DomingosAAAI Conference on Artificial Intelligence, 2010.
Downloads: Dataset 

Efficient Belief Propagation for Utility Maximization and Repeated Inference

A. Nath, P. DomingosAAAI Conference on Artificial Intelligence, 2010.

Online Max-Margin Weight Learning with Markov Logic Networks

T. Huynh, R. MooneyWorkshop on Statistical Relational AI, 2010.

Exploiting Logical Structure in Lifted Probabilistic Inference

V. Gogate, P. DomingosWorkshop on Statistical Relational AI, 2010.

Leveraging Ontologies for Lifted Probabilistic Inference and Learning

C. Kiddon, P. DomingosWorkshop on Statistical Relational AI, 2010.

Machine Reading: A "Killer App" for Statistical Relational AI

H. Poon, P. DomingosWorkshop on Statistical Relational AI, 2010.

Learning 5000 Relational Extractors

R. Hoffmann, D. WeldAnnual Meeting of the Association for Computational Linguistics, 2010.

Grammar Prototyping and Testing with the LinGO Grammar Matrix Customization System

E. Bender, S. Drellishak, A. Fokkens, M.W. Goodman, D. Mills, L. Poulson, S. SaleemAnnual Meeting of the Association for Computational Linguistics, 2010.

Extracting Sequences from the Web

A. Fader, S. Soderland, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2010.

Formula-Based Probabilistic Inference

V. Gogate, P. DomingosUncertainty in Artificial Intelligence, 2010.

Unsupervised Modeling of Twitter Conversations

A. Ritter, C. Cherry, B. DolanAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Testing a Grammar Customization System with Sahaptin

S. DrellishakAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Joint Inference for Knowledge Extraction from Biomedical Literature

H. Poon, L. VanderwendeAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Inverse Optimal Control with Linearly Solvable MDPs

K. Dvijotham, E. TodorovInternational Conference on Machine Learning, 2010.

Interactive Submodular Set Cover

A. Guillory, J. BilmesInternational Conference on Machine Learning, 2010.

Bottom-Up Learning of Markov Network Structure

J. Davis, P. DomingosInternational Conference on Machine Learning, 2010.

Learning Markov Logic Networks Using Structural Motifs

S. Kok, P. DomingosInternational Conference on Machine Learning, 2010.

Hitting the Right Paraphrases in Good Time

S. Kok, C. BrockettAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Machine Reading at the University of Washington

H. Poon, J. Christensen, P. Domingos, O. Etzioni, R. Hoffmann, C. Kiddon,  Mausam, A. Ritter, S. Soderland, D. Weld, F. Wu, T. Lin, X. Ling, S. SchoenmackersAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Semantic Role Labeling for Open Information Extraction

Mausam, S. Soderland, O. Etzioni, J. ChristensenAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Supporting rule-based representations with corpus-derived lexical information

A. Zaenen, C. Condoravdi, D. Bobrow, R. HoffmannAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Learning to Navigate Through Crowded Environments

P. Henry, C. Vollmer, B. Ferris, D. FoxICRA, 2010.
Downloads: PDF 

Classical Planning in MDP Heuristics: With a Little Help from Generalization

A. Kolobov,  Mausam, D. WeldInternational Conference on Automated Planning and Scheduling, 2010.

Grammar Customization

E.M. Bender, S. Drellishak, A. Fokkens, L. Poulson, S. SaleemResearch on Language and Computation 8:1, 2010.

Machine Reading: from Wikipedia to the Web

F. WuComputer Science & Engineering PhD, 2010.

Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation

K. Lai, D. FoxInternational Journal of Robotics Research 29:8, 2010.
Downloads: PDF bibtex 

Kernel Descriptors for Visual Recognition

L. Bo, X. Ren, D. FoxNIPS, 2010.
Downloads: PDF BIB Code 

OneBusAway: Results from Providing Real-Time Arrival Information for Public Transit

B. Ferris, K. Watkins, A. BorningACM Conference on Human Factors in Computing Systems (CHI), 2010.  

Best Paper nomination.

Downloads: pdf 

Following Directions Using Statistical Machine Translation

C. Matuszek, D. Fox, K. KoscherHRI, 2010.
Downloads: PDF 

RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments

P. Henry, M. Krainin, E. Herbst, X. Ren, D. FoxISER, 2010.
Downloads: PDF bibtex 

OneBusAway: Location-Aware Tools for Improving Public Transit Usability

B. Ferris, K. Watkins, A. BorningIEEE Pervasive Computing, 2010.
Downloads: pdf 

State-Space Inference and Learning with Gaussian Processes

R. Turner, M. Deisenroth, C. RasmussenInternational Conference on Artificial Intelligence and Statistics, 2010.

Connecting the Dots Between News Articles

D. Shahaf, C. GuestrinKnowledge Discovery and Data Mining, 2010.

Twin Gaussian Processes for Structured Prediction

L. Bo, C. SminchisescuInternational Journal of Computer Vision, 2010.

Analysis of a Probabilistic Model of Redundancy in Unsupervised Information Extraction

O. Etzioni, S. Soderland, D. DowneyArtificial Intelligence 174:11, 2010.

Character Animation in Two-Player Adversarial Games

K. Wampler, E. Andersen, E. Herbst, Y. Lee, Z. PopovicACM Transactions on Graphics, 2010.

Efficient Reinforcement Learning using Gaussian Processes

M. DeisenrothKIT Scientific Publishing, 2010.

Panlingual Lexical Translation via Probabilistic Inference

Mausam, S. Soderland, O. Etzioni, D. Weld, J. Bilmes, K. Reiter, M. Skinner, M. SammerArtificial Intelligence, 2010.

2009

System Identification in Gaussian Process Dynamical Systems

R. Turner, M. Deisenroth, C. RasmussenAnnual Conference on Neural Information Processing Systems, 2009.

Efficient Match Kernels between Sets of Features for Visual Recognition

L. Bo, C. SminchisescuAnnual Conference on Neural Information Processing Systems, 2009.

Competitive Learning for Deep Temporal Networks

R. Gens, P. DomingosAnnual Conference on Neural Information Processing Systems, 2009.

Conditional Neural Fields

J. Peng, L. Bo, J. XuAnnual Conference on Neural Information Processing Systems, 2009.

Dynamic Multi-Valued Network Models for Predicting Face-to-Face Conversations

D. Wyatt, J. Bilmes, T. ChoudhuryAnnual Conference on Neural Information Processing Systems, 2009.

Label Selection on Graphs

A. Guillory, J. BilmesAnnual Conference on Neural Information Processing Systems, 2009.

Filter, Rank, and Transfer the Knowledge: Learning to Chat

S. Jafarpour, C. Burges, A. RitterAnnual Conference on Neural Information Processing Systems, 2009.

Identifying Interesting Assertions from the Web

T. Lin, O. Etzioni, J. FogartyACM Conference on Information and Knowledge Management, 2009.

Semi-Supervised Learning of Semantic Classes for Query Understanding – from the Web and for the Web

Y.Y. Wang, R. Hoffmann, X. Li, J. SzymanskiACM Conference on Information and Knowledge Management, 2009.

A Spotlight on Security and Privacy Risks with Future Household Robots: Attacks and Lessons

T. Denning, C. Matuszek, K. Koscher, J. Smith, T. KohnoInternational Conference on Ubiquitous Computing, 2009.

Efficient Reinforcement Learning for Motor Control

M. Deisenroth, C. RasmussenPhD Workshop on Systems and Control, 2009.

Focused Topological Value Iteration

P. Dai,  Mausam, D. WeldInternational Conference on Automated Planning and Scheduling, 2009.

Learning to Disambiguate Search Queries from Short Sessions

L. Mihalkova, R. MooneyEuropean Conference on Machine Learning, 2009.

Max-Margin Weight Learning for Markov Logic Networks

T. Huynh, R. MooneyEuropean Conference on Machine Learning, 2009.

Compiling a Massive, Multilingual Dictionary via Probabilistic Inference

Mausam, S. Soderland, O. Etzioni, D. Weld, M. Skinner, J. BilmesAnnual Meeting of the Association for Computational Linguistics, 2009.

Lemmatic Machine Translation

S. Soderland,  Mausam, O. Etzioni, C. Lim, J. Pool, B. QinMachine Translation Summit, 2009.

Unsupervised Semantic Parsing

H. Poon, P. DomingosConference on Empirical Methods in Natural Language Processing, 2009.

Learning Context-dependent Mappings from Sentences to Logical Form

L. Zettlemoyer, M. CollinsProceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2009.

A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search

J. Christensen,  Mausam, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2009.

Reinforcement Learning for Mapping Instructions to Actions

S.R.K. Branavan, H. Chen, L. Zettlemoyer, R. BarzilayProceeding of the Annual Meeting of the Association for Computational Linguistics (ACL), 2009.  *Best Paper Award*

A Language for Relational Decision Theory

A. Nath, P. DomingosInternational Workshop on Statistical Relational Learning, 2009.

Sensing and Predicting the Pulse of the City through Shared Bicycling

J. Froehlich, J. Neumann, N. OliverInternational Joint Conference on Artificial Intelligence, 2009.

Domain-Independent, Automatic Partitioning for Probabilistic Planning

P. Dai,  Mausam, D. WeldInternational Joint Conference on Artificial Intelligence, 2009.

Evaluating online text classification algorithms for email prediction in TaskTracer

V. Keiser, T. DietterichConference on Email and Anti-Spam, 2009.

Learning a Theory of Causality

N. Goodman, T. Ullman, J. TenenbaumConference of the Cognitive Science Society, 2009.

ReTrASE: Intergating Paradigms for Approximate Probabilistic Planning

A. Kolobov,  Mausam, D. WeldInternational Joint Conference on Artificial Intelligence, 2009.

Cause and Intent: Social Reasoning in Causal Learning

N. Goodman, C. Baker, J. TenenbaumConference of the Cognitive Science Society, 2009.

Analytic Moment-based Gaussian Process Filtering

M. Deisenroth, M. Huber, U. HanebeckInternational Conference on Machine Learning, 2009.

Distributed Parallel Inference on Large Factor Graphs

J. Gonzalez, Y. Low, C. Guestrin, D. O'HallaronUncertainty in Artificial Intelligence, 2009.

Deep Transfer via Second-Order Markov Logic

J. Davis, P. DomingosInternational Conference on Machine Learning, 2009.

Turning Down the Noise in the Blogosphere

K. El-Arini, G. Veda, D. Shahaf, C. GuestrinKnowledge Discovery and Data Mining, 2009.

Unsupervised Morphological Segmentation with Log-Linear Models

H. Poon, C. Cherry, K. ToutanovaAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2009.

Amplifying Community Content Creation with Mixed Initiative Information Extraction

R. Hoffmann, S. Amershi, K. Patel, F. Wu, J. Fogarty, D. WeldConference on Human Factors in Computing Systems, 2009.

Amplifying Community Content Creation with Mixed Initiative Information Extraction

R. Hoffmann, S. Amershi, K. Patel, F. Wu, J. Fogarty, D. WeldConference on Human Factors in Computing Systems, 2009.

Residual Splash for Optimally Parallelizing Belief Propagation

J. Gonzalez, Y. Low, C. GuestrinInternational Conference on Artificial Intelligence and Statistics, 2009.

Learning Thin Junction Trees via Graph Cuts

D. Shahaf, A. Chechetka, C. GuestrinInternational Conference on Artificial Intelligence and Statistics, 2009.

What Is This, Anyway: Automatic Hypernym Discovery

A. Ritter, S. Soderland, O. EtzioniAAAI Spring Symposium Series, 2009.

Collective Modeling of Human Social Behavior

D. WyattAAAI Spring Symposium Series, 2009.

Learning to Generalize for Complex Selection Tasks

A. Ritter, S. BasuInternational Conference on Intelligent User Interfaces, 2009.

Discovering Frequent Work Procedures From Resource Connections

J. Shen, E. Fitzhenry, T. DietterichInternational Conference on Intelligent User Interfaces, 2009.

Detecting and Correcting User Activity Switches: Algorithms and Interfaces

J. Shen, J. Irvine, X. Bao, M. Goodman, S. Kolibaba, A. Tran, F. Carl, B. Kirschner, S. Stumpf, T. DietterichInternational Conference on Intelligent User Interfaces, 2009.

A game-building environment for research in collaborative design

S. Tanimoto, T. Robison, S. FanInt'l Symposium on Artificial Intelligence in GamesIEEE, 2009.

Faring with Facets: Building and Using Databases of Student Misconceptions

T. Madhyastha, S. TanimotoJournal of Interactive Multimedia in EducationThe Open University, 2009.

Anatomically Correct Testbed Hand Control: Muscle and Joint Control Strategies

A. Deshpande, J. Ko, D. Fox, Y. MatsuokaICRA, 2009.
Downloads: PDF 

GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models

J. Ko, D. FoxAutonomous Robots 27:1, 2009.
Downloads: PDF 

Unsupervised Methods for Determining Object and Relation Synonyms on the Web

A. Yates, O. EtzioniJournal of Artificial Intelligence Research, 2009.

Probabilistic Abduction using Markov Logic Networks

R. Kate, R. MooneyIJCAI Workshop on Plan, Activity, and Intent Recognition, 2009.

Learning Markov Logic Network Structure via Hypergraph Lifting

S. Kok, P. DomingosInternational Conference on Machine Learning, 2009.

Temporal-Informatics of the WWW

E. AdarPhD Thesis, 2009.

A Family of Large Margin Linear Classifiers and Its Applications to Feature-changing Problems

J. Shen, T. DietterichSIAM International Conference on Data Mining, 2009.

A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains

N. Meuleau, E. Benazera, R. Brafman, E. Hansen,  MausamJournal of Artificial Intelligence Research, 2009.

2008

Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification

D. Downey, O. EtzioniAnnual Conference on Neural Information Processing Systems, 2008.

Learning and Using Relational Theories

C. Kemp, N. Goodman, J. TenenbaumAnnual Conference on Neural Information Processing Systems, 2008.

Open Information Extraction from the Web

O. Etzioni, S. Soderland, D. Weld, M. BankoCommunications of the ACM, 2008.

Integrating Sensing and Cueing for More Effective Activity Reminders

J. Modayil, R. Levinson, C. Harman, D. Halper, H. KautzAAAI Fall Symposium Series, 2008.

Joint Unsupervised Coreference Resolution with Markov Logic

H. Poon, P. DomingosConference on Empirical Methods in Natural Language Processing, 2008.

It's a Contradiction -- No, It's Not: A Case Study using Functional Relations

A. Ritter, D. Downey, S. Soderland, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2008.

A Generative Model for Parsing Natural Language to Meaning Representations

W. Lu, H.T. Ng, W.S. Lee, L. ZettlemoyerProceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2008.

Scaling Textual Inference to the Web

S. Schoenmackers, O. Etzioni, D. WeldConference on Empirical Methods in Natural Language Processing, 2008.

Towards the Automated Social Analysis of Situated Speech Data

D. Wyatt, T. Choudhury, J. Bilmes, J. KittsInternational Conference on Ubiquitous Computing, 2008.

Theory-Based Social Goal Inference

C. Baker, N. Goodman, J. TenenbaumConference of the Cognitive Science Society, 2008.

A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC

H. Poon, P. Domingos, M. SumnerAAAI Conference on Artificial Intelligence, 2008.

Hybrid Markov Logic Networks

J. Wang, P. DomingosAAAI Conference on Artificial Intelligence, 2008.

Theory Acquisition and the Language of Thought

C. Kemp, N. Goodman, J. TenenbaumConference of the Cognitive Science Society, 2008.

Partitioned External Memory Value Iteration

P. Dai,  Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2008.

Intelligence in Wikipedia

D. Weld, F. Wu, E. Adar, S. Amershi, J. Fogarty, R. Hoffmann, K. Patel, M. SkinnerAAAI Conference on Artificial Intelligence, 2008.

Information Extraction from Wikipedia: Moving Down the long Tail

F. Wu, R. Hoffmann, D. WeldKnowledge Discovery and Data Mining, 2008.

Learning Hidden Curved Exponential Random Graph Models to Infer Face-to-Face Interaction Networks from Situated Speech Data

D. Wyatt, T. Choudhury, J. BilmesAAAI Conference on Artificial Intelligence, 2008.

Lifted First-Order Belief Propagation

P. Singla, P. DomingosAAAI Conference on Artificial Intelligence, 2008.

Modeling Semantic Cognition as Logical Dimensionality Reduction

Y. Katz, N. Goodman, K. Kersting, C. Kemp, J. TenenbaumConference of the Cognitive Science Society, 2008.

Augmenting Wikipedia-Extraction with Results from the Web

F. Wu, R. Hoffmann, D. WeldAAAI Conference on Artificial Intelligence, 2008.

The Tradeoffs Between Open and Traditional Relation Extraction

M. Banko, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2008.

Evaluating a Crosslinguistic Grammar Resource: A Case Study of Wambaya

E. BenderAnnual Meeting of the Association for Computational Linguistics, 2008.

Automatically Refining the Wikipedia Infobox Ontology

F. Wu, D. WeldInternational World Wide Web Conference, 2008.

Improving the Performance of Motor-Impaired Users with Automatically-Generated, Ability-Based Interfaces

K. Gajos, J. Wobbrock, D. WeldConference on Human Factors in Computing Systems, 2008.

Evaluating Visual Cues for Window Switching on Large Screens

R. Hoffmann, P. Baudisch, D. WeldConference on Human Factors in Computing Systems, 2008.

Evaluating Visual Cues for Window Switching on Large Screens

R. Hoffmann, P. Baudisch, D. WeldConference on Human Factors in Computing Systems, 2008.

Predictability and Accuracy in Adaptive User Interfaces

K. Gajos, K. Everitt, D. Tan, M. Czerwinski, D. WeldConference on Human Factors in Computing Systems, 2008.

Recovering from Errors during Programming by Demonstration

J.H. Chen, D. WeldInternational Conference on Intelligent User Interfaces, 2008.

Recovering from Errors during Programming by Demonstration

J.H. Chen, D. WeldInternational Conference on Intelligent User Interfaces, 2008.

Laser and Vision Based Outdoor Object Mapping

B. Douillard, D. Fox, F. RamosRSS, 2008.
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Multi-agent filtering with infinitely nested beliefs

L. Zettlemoyer, B. Milch, L.P. KaelblingNeural Information Processing Systems (NIPS), 2008.

Lifted probabilistic inference with counting formulas

B. Milch, L. Zettlemoyer, K. Kersting, M. Haimes, L.P. KaelblingProceedings of the National Conference on Artificial intelligence (AAAI), 2008.

Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context From Wearable Sensors

A. Raj, A. Subramanya, D. Fox, J. BilmesExperimental Robotics: The 10th International SymposiumSpringer Verlag 39, 2008.

Learning to Associate Image Features with CRF-Matching

F. Ramos, K. Waleed, D. FoxISER, 2008.
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Distributed Multirobot Exploration, Mapping, and Task Allocation

R. Vincent, D. Fox, J. Ko, K. Konolige, B. Limketkai, B. Morisset, C. Ortiz, D. Schulz, B. StewartAnnals of Mathematics and Artificial Intelligence 52:2–4, 2008.

Church: A Language for Generative Models

N. Goodman, V. Mansinghka, D. Roy, K. Bonawitz, J. TenenbaumUncertainty in Artificial Intelligence, 2008.

Probabilistic Inference for Fast Learning in Control

C. Rasmussen, M. DeisenrothLecture Notes in Computer Science, 2008.

Discovery of Social Relationships in Consumer Photo Collections using Markov Logic

P. Singla, H. Kautz, J. Luo, A. GallagherInternational Workshop on Semantic Learning and Applications in Multimedia, 2008.

Learning Arithmetic Circuits

D. Lowd, P. DomingosUncertainty in Artificial Intelligence, 2008.

Planning with Durative Actions in Stochastic Domains

Mausam, D. WeldJournal of Artificial Intelligence Research 31, 2008.

Extracting Semantic Networks from Text via Relational Clustering

S. Kok, P. DomingosEuropean Conference on Machine Learning, 2008.

2007

Creating Social Network Models from Sensor Data

D. Wyatt, T. Choudhury, J. BilmesAnnual Conference on Neural Information Processing Systems, 2007.

Assieme: Finding and Leveraging Implicit References in a Web Search Interface for Programmers

R. Hoffmann, J. Fogarty, D. WeldSymposium on User Interface Software and Technology, 2007.

Automatically Generating User Interfaces Adapted To User's Motor And Vision Capabilities

K. Gajos, J. Wobbrock, D. WeldSymposium on User Interface Software and Technology, 2007.

Assieme: Finding and Leveraging Implicit References in a Web Search Interface for Programmers

R. Hoffmann, J. Fogarty, D. WeldSymposium on User Interface Software and Technology, 2007.

Strategies for Lifelong Knowledge Extraction from the Web

M. Banko, O. EtzioniInternational Conference on Knowledge Capture, 2007.

Application of a transparent interface methodology to image processing

L. Cinque, S.S. Canizares, S. TanimotoJ. Visual Languages and Computing 15:5, 2007.

Lexical Translation with Application to Image Search on the Web

O. Etzioni, K. Reiter, S. Soderland, M. SammerMachine Translation Summit, 2007.

Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data

D. Wyatt, T. Choudhury, J. BilmesInterspeech, 2007.

Autonomously Semantifying Wikipedia

F. Wu, D. WeldACM Conference on Information and Knowledge Management, 2007.

Navigating Extracted Data with Schema Discovery

O. Etzioni, M. Cafarella, D. SuciuInternational Workshop on the Web and Databases, 2007.

Sparse Information Extraction: Unsupervised Language Models to the Rescue

D. Downey, S. Schoenmackers, O. EtzioniAnnual Meeting of the Association for Computational Linguistics, 2007.

Unsupervised Resolution of Objects and Relations on the Web

A. Yates, O. EtzioniAnnual Conference of the North American Chapter of the Association for Computational Linguistics, 2007.

Capturing Spontaneous Conversation and Social Dynamics: A Privacy Sensitive Data Collection Effort

D. Wyatt, T. Choudhury, H. KautzInternational Conference on Acoustic and Speech Signal Processing, 2007.

Joint Inference in Information Extraction

H. Poon, P. DomingosAAAI Spring Symposium Series, 2007.

Machine Reading

O. Etzioni, M. Banko, M. CafarellaAAAI Spring Symposium Series, 2007.

Locating Complex Named Entities in Web Text

D. Downey, M. Broadhead, O. EtzioniInternational Joint Conference on Artificial Intelligence, 2007.

Open Information Extraction from the Web

M. Banko, M. Cafarella, S. Soderland, M. Broadhead, O. EtzioniInternational Joint Conference on Artificial Intelligence, 2007.

Structured Querying of Web Text

M. Cafarella, D. Suciu, O. Etzioni, M. Banko, C. ReBiennial Conference on Innovative Data Systems Research, 2007.

When is temporal planning really temporal?

W. Cushing, S. Kambhampati,  Mausam, D. WeldInternational Joint Conference on Artificial Intelligence, 2007.

Recursive Random Fields

D. Lowd, P. DomingosInternational Joint Conference on Artificial Intelligence, 2007.

A Privacy-Sensitive Approach to Modeling Multi-Person Conversations

D. Wyatt, T. Choudhury, J. Bilmes, H. KautzInternational Joint Conference on Artificial Intelligence, 2007.

A Hybridized Planner for Stochastic Domains

Mausam, P. Bertoli, D. WeldInternational Joint Conference on Artificial Intelligence, 2007.

A Spatio-Temporal Probabilistic Model for Multi-Sensor Object Recognition

B. Douillard, D. Fox, F. RamosIROS, 2007.
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A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition

B. Douillard, D. Fox, F. RamosISRR, 2007.
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Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields

L. Liao, D. Fox, H. KautzInternational Journal of Robotics Research 26:1, 2007.
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Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp

J. Ko, D. Klein, D. Fox, D. HähnelICRA, 2007.
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Hierarchical Conditional Random Fields for GPS-based Activity Recognition

L. Liao, D. Fox, H. KautzRobotics Research – Results of the 12th International Symposium ISRR, 2007.
Downloads: PDF 

GP-UKF: Unscented Kalman Filters with Gaussian Process Prediction and Observation Models

J. Ko, D. Klein, D. Fox, D. HähnelIROS, 2007.  Best Student Paper Award
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Sequential input graphical model assessment diagrams for analysis of student activity data

S. Tanimoto, N. Evans, A. CarlsonInt'l Conf. on Advanced Learning TechnologieIEEE, 2007.

Towards a shared language for problem solving in design

S. TanimotoSymposium on the Science of Design, 2007.

CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching

F. Ramos, D. Fox, H. Durrant-WhyteRSS, 2007.
Downloads: PDF 

WiFi-SLAM Using Gaussian Process Latent Variable Models

B. Ferris, D. Fox, N. LawrenceIJCAI, 2007.
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Learning and Inferring Transportation Routines

L. Liao, D.  J. Patterson, D. Fox, H. KautzArtificial Intelligence 171:5-6, 2007.  2012 Prominent Paper Award
Downloads: PDF 

Training Conditional Random Fields using Virtual Evidence Boosting

L. Liao, T. Choudhury, D. Fox, H. KautzIJCAI, 2007.
Downloads: PDF 

CRF-Filters: Discriminative Particle Filters for Sequential State Estimation

B. Limketkai, D. Fox, L. LiaoICRA, 2007.
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Statistical Predicate Invention

S. Kok, P. DomingosInternational Conference on Machine Learning, 2007.

Extending Markov Logic to Model Probability Distributions in Relational Domains

D. Jain, B. Kirchlechner, M. BeetzGerman Conference on Artificial Intelligence, 2007.

Structured Machine Learning: Ten Problems for the Next Ten Years

P. DomingosInternational Conference on Inductive Logic Programming, 2007.

Efficient Weight Learning for Markov Logic Networks

D. Lowd, P. DomingosEuropean Conference on Principles and Practice of Knowledge Discovery in Databases, 2007.

Evaluating Temporal Planning Domains

W. Cushing, S. Kambhampati, K. Talamadupula, D. Weld,  MausamInternational Conference on Automated Planning and Scheduling, 2007.

Markov Logic in Infinite Domains

P. Singla, P. DomingosUncertainty in Artificial Intelligence, 2007.

2006

Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives

T. Choudhury, M. Philipose, D. Wyatt, J. LesterIEEE Data Engineering Bulletin, 2006.

Structured Queries Over Web Text

M. Cafarella, O. Etzioni, D. SuciuIEEE Data Engineering Bulletin, 2006.

Automatically Generating Custom User Interfaces for Users With Physical Disabilities

K. Gajos, J.J. Long, D. WeldACM SIGACCESS Conference on Assistive Technologies, 2006.

Ambiguity Reduction for Machine Translation: Human-Computer Collaboration

M. Sammer, K. Reiter, S. Soderland, K. Kirchhoff, O. Etzionibiennial conference of the Association for Machine Translation in the Americas, 2006.

Detecting Parser Errors Using Web-based Semantic Filters

A. Yates, S. Schoenmackers, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2006.

Centibots: Very large scale distributed robotic teams

K. Konolige, D. Fox, C. Ortiz, A. Agno, M. Eriksen, B. Limketkai, J. Ko, B. Morisset, D. Schulz, B. Stewart, R. VincentExperimental Robotics: The 9th International SymposiumSpringer Verlag 21, 2006.
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A transparent interface to statespace search programs

S. Tanimoto, S. LevialdiACM Symposium on Software Visualization (SoftVis 2006)Assoc. Comput. Machin., 2006.

Gaussian Processes for Signal Strength-Based Location Estimation

B. Ferris, D. Hähnel, D. FoxRSS, 2006.
Downloads: PDF 

Distributed Multi-robot Exploration and Mapping

D. Fox, J. Ko, K. Konolige, B. Limketkai, B. StewartProc. of the IEEE 94:7, 2006.  
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Recognizing Activities and Spatial Context using Wearable Sensors

A. Subramanya, A. Raj, J. Bilmes, D. FoxUAI, 2006.
Downloads: PDF 

Unifying Logical and Statistical AI

P. Domingos, S. Kok, H. Poon, M. Richardson, P. SinglaAAAI Conference on Artificial Intelligence, 2006.

Memory-Efficient Inference in Relational Domains

P. Singla, P. DomingosAAAI Conference on Artificial Intelligence, 2006.

Entity Resolution with Markov Logic

P. Singla, P. DomingosIEEE International Conference on Data Mining, 2006.

Sound and Efficient Inference with Probabilistic and Deterministic Dependencies

H. Poon, P. DomingosAAAI Conference on Artificial Intelligence, 2006.

Machine Reading

O. Etzioni, M. Banko, M. CafarellaAAAI Conference on Artificial Intelligence, 2006.

Challenges for Temporal Planning with Uncertain Durations

Mausam, D. WeldInternational Conference on Automated Planning and Scheduling, 2006.

Markov Logic Networks

M. Richardson, P. DomingosMachine Learning Journal, 2006.

Probabilistic Temporal Planning with Uncertain Durations

Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2006.

2005

Extracting Product Features and Opinions from Reviews

O. Etzioni, A.M. PopescuConference on Empirical Methods in Natural Language Processing, 2005.

KnowItNow: Fast, Scalable Information Extraction from the Web

M. Cafarella, D. Downey, S. Soderland, O. EtzioniConference on Empirical Methods in Natural Language Processing, 2005.

Preference Elicitation for Interface Optimization

K. Gajos, D. WeldSymposium on User Interface Software and Technology, 2005.

Probabilistic Robotics

S. Thrun, W. Burgard, D. FoxProbabilistic RoboticsMIT Press, 2005.  

A Probabilistic Model of Redundancy in Information Extraction

D. Downey, O. Etzioni, S. SoderlandInternational Joint Conference on Artificial Intelligence, 2005.

Planning with Continuous Resources in Stochastic Domains

Mausam, E. Benazera, R. Brafman, N. Meuleau, E. HansenInternational Joint Conference on Artificial Intelligence, 2005.

Discriminative Training of Markov Logic Networks

P. Singla, P. DomingosAAAI Conference on Artificial Intelligence, 2005.

Unsupervised Activity Recognition Using Automatically Mined Common Sense

D. Wyatt, M. Philipose, T. ChoudhuryAAAI Conference on Artificial Intelligence, 2005.

Unsupervised Named-Entity Extraction from the Web: An Experimental Study

O. Etzioni, M. Cafarella, D. Downey, A.M. Popescu, S. Soderland, D. Weld, A. Yates, T. ShakedArtificial Intelligence, 2005.

A Search Engine for Natural Language Applications

M. Cafarella, O. EtzioniInternational World Wide Web Conference, 2005.

Large-Scale Localization from Wireless Signal Strength

J. Letchner, D. Fox, A. LaMarcaAAAI, 2005.
Downloads: PDF 

Introduction to Python for Arti cial Intelligence

S. TanimotoReady NotesIEEE Computer Society, 2005.

Location-Based Activity Recognition

L. Liao, D. Fox, H. KautzNIPS, 2005.
Downloads: PDF 

Relational Object Maps for Mobile Robots

B. Limketkai, L. Liao, D. FoxIJCAI, 2005.
Downloads: PDF 

Fine-Grained Activity Recognition by Aggregating Abstract Object Usage

D. Patterson, D. Fox, H. Kautz, M. PhiliposeProc. of the International Symposium on Wearable Computers, 2005.  Best Paper Award
Downloads: PDF 

Naive Bayes Models for Probability Estimation

D. Lowd, P. DomingosInternational Conference on Machine Learning, 2005.

Location-Based Activity Recognition using Relational Markov Networks

L. Liao, D. Fox, H. KautzIJCAI, 2005.
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A Hierarchical Bayesian Approach to the Revisiting Problem in Mobile Robot Map Building

D. Fox, J. Ko, K. Konolige, B. StewartRobotics Research: The Eleventh International SymposiumSpringer Verlag, 2005.
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Autonomous Terrain Mapping and Classification Using Hidden Markov Models

D. Wolf, G. Sukhatme, W. FoxICRA, 2005.
Downloads: PDF 

Concurrent Probabilistic Temporal Planning

Mausam, D. WeldInternational Conference on Automated Planning and Scheduling, 2005.

Object identification with attribute-mediated dependencies

P. Singla, P. DomingosEuropean Conference on Principles and Practice of Knowledge Discovery in Databases, 2005.

Mining social networks for viral marketing

P. DomingosIEEE Intelligent Systems, 2005.

Learning the Structure of Markov Logic Networks

S. Kok, P. DomingosInternational Conference on Machine Learning, 2005.

2004

Semantic Email: Theory and Applications

L. McDowell, O. Etzioni, A. HalevyJournal of Web Semantics, 2004.

The Specification of Agent Behavior by Ordinary People: A Case Study

L. McDowell, O. Etzioni, A. HalevyInternational Semantic Web Conference, 2004.

Modern Natural Language Interfaces to Databases: Composing Statistical Parsing with Semantic Tractability

A.M. Popescu, A. Armanasu, O. Etzioni, D. Ko, A. YatesInternational Conference on Computational Linguistics, 2004.

iMAP: Discovering Complex Semantic Matches between Database Schemas

R. Dhamankar, Y. Lee, A.H. Doan, A. Halevy, P. DomingosACM SIGMOD International Conference on Management of Data, 2004.

WebScale Information Extraction in KnowItAll (Preliminary Results)

O. Etzioni, M. Cafarella, D. Downey, S. Kok, A.M. Popescu, T. Shaked, S. Soderland, D. Weld, A. YatesInternational World Wide Web Conference, 2004.

Semantic Email

O. Etzioni, L. McDowell, A. Halevy, H. LevyInternational World Wide Web Conference, 2004.

SUPPLE: Automatically Generating User Interfaces

K. Gajos, D. WeldInternational Conference on Intelligent User Interfaces, 2004.

Learning and Inferring Transportation Routines

L. Liao, D. Fox, H. KautzAAAI, 2004.  Outstanding Paper Award
Downloads: PDF 

Map-based Multiple Model Tracking of a Moving Object

C.T. Kwok, D. FoxRoboCup 2004: Robot Soccer World Cup VIII 3276, 2004.  Best Paper Award
Downloads: PDF 

Bayesian Color Estimation for Adaptive Vision-based Robot Localization

D. Schulz, D. FoxIROS, 2004.
Downloads: PDF 

Real-time particle filters

C.T. Kwok, D. Fox, M. MeilăProceedings of the IEEE 92:2, 2004.  
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Opportunity Knocks: a System to Provide Cognitive Assistance with Transportation Services

D. Patterson, L. Liao, K. Gajos, M. Collier, N. Livic, K. Olson, S. Wang, D. Fox, H. KautzUbiComp, 2004.
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Reinforcement Learning for Sensing Strategies

C.T. Kwok, D. FoxIROS, 2004.
Downloads: PDF 

Mapping and Localization with RFID Technology

D. Hähnel, W. Burgard, D. Fox, K. Fishkin, M. PhiliposeICRA, 2004.
Downloads: PDF 

Solving Concurrent Markov Decision Processes

Mausam, D. WeldAAAI Conference on Artificial Intelligence, 2004.

Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison

O. Etzioni, M. Cafarella, D. Downey, A.M. Popescu, T. Shaked, S. Soderland, A. YatesAAAI Conference on Artificial Intelligence, 2004.

Adversarial Classification

N. Dalvi, P. Domingos,  Mausam, S. Sanghai, D. VermaKnowledge Discovery and Data Mining, 2004.

Multi-relational record linkage

P. Singla, P. DomingosKDD Workshop on Multi-Relational Data Mining, 2004.

2003

Trust management for the Semantic Web

M. Richardson, R. Agrawal, P. DomingosInternational Semantic Web Conference, 2003.

Mangrove: Enticing Ordinary People onto the Semantic Web via Instant Gratification

L. McDowell, O. Etzioni, A. Halevy, H. Levy, S. Gribble, W. Pentney, D. Verma, S. VlassevaInternational Semantic Web Conference, 2003.

Semantic Email: Adding Lightweight Data Manipulation Capabilities to the Email Habitat

O. Etzioni, A. Halevy, H. Levy, L. McDowellInternational Workshop on the Web and Databases, 2003.

A Reliable Natural Language Interface To Household Appliances

A. Yates, O. Etzioni, D. WeldInternational Conference on Intelligent User Interfaces, 2003.

Towards a Theory of Natural Language Interfaces to Databases

A.M. Popescu, O. Etzioni, H. KautzInternational Conference on Intelligent User Interfaces, 2003.

A practical, decision-theoretic approach to multi-robot mapping and exploration

J. Ko, B. Stewart, D. Fox, K. Konolige, B. LimketkaiIROS, 2003.
Downloads: PDF 

Bayesian Filtering for Location Estimation

D. Fox, J. Hightower, L. Liao, D. Schulz, G. BorrielloIEEE Pervasive Computing Magazine 2:3, 2003.  
Downloads: PDF 

CentiBOTS: Large-Scale Robot Teams

K. Konolige, C. Ortiz, R. Vincent, A. Agno, M. Eriksen, B. Limetkai, M. Lewis, L. Briesemeister, E. Ruspini, D. Fox, J. Ko, B. Stewart, L. GuibasMulti-Robot Systems: From Swarms to Intelligent AutomataKluwer II, 2003.

People Tracking with Mobile Robots Using Sample-based Joint Probabilistic Data Association Filters

D. Schulz, W. Burgard, D. FoxInternational Journal of Robotics Research 22:2, 2003.
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People Tracking with Anonymous and ID-Sensors Using Rao-Blackwellised Particle Filters

D. Schulz, D. Fox, J. HightowerIJCAI, 2003.
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Inferring High-Level Behavior from Low-Level Sensors

D. Patterson, L. Liao, D. Fox, H. KautzUbiComp, 2003.  10 Year Impact Award
Downloads: PDF 

Adapting the Sample Size in Particle Filters Through KLD-Sampling

D. FoxInternational Journal of Robotics Research 22:12, 2003.
Downloads: PDF 

Voronoi Tracking: Location Estimation Using Sparse and Noisy Sensor Data

L. Liao, D. Fox, J. Hightower, H. Kautz, D. SchulzIROS, 2003.
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Map merging for distributed robot navigation

K. Konolige, D. Fox, J. Ko, B. Limketkai, B. StewartIROS, 2003.

Distributed Multi-Robot Mapping

D. Fox, J. Ko, B. Stewart, K. Konolige, B. LimetkaiMulti-Robot Systems: From Swarms to Intelligent AutomataKluwer II, 2003.

Real-time Particle Filters

C.T. Kwok, D. Fox, M. MeilăNIPSMIT Press, 2003.
Downloads: PS 

Research on Statistical Relational Learning at the University of Washington

P. Domingos, Y. Abe, C. Anderson, A. Doan, D. Fox, A. Halevy, G. Hulten, H. Kautz, T. Lau, L. Liao, J. Madhavan, D. Mausam, M. Richardson, S. Sanghai, D. Weld, S. WolfmanProc. of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data, 2003.

Bayesian Techniques for Location Estimation

D. Fox, J. Hightower, H. Kautz, L. Liao, D.  J. PattersonProc. of the UbiComp-2003 Workshop on Location-Aware Computing, 2003.
Downloads: PDF 

Adaptive Real-time Particle Filters for Robot Localization

C.T. Kwok, D. Fox, M. MeilăICRA, 2003.
Downloads: PDF 

The revisiting problem in mobile robot map building: A hierarchical Bayesian approach

B. Stewart, J. Ko, D. Fox, K. KonoligeUAI, 2003.
Downloads: PDF 

Mining massive relational databases

G. Hulten, P. Domingos, Y. AbeInternational Workshop on Statistical Relational Learning, 2003.

Learning with knowledge from multiple experts

M. Richardson, P. DomingosInternational Conference on Machine Learning, 2003.

Building large knowledge bases by mass collaboration

M. Richardson, P. DomingosInternational Conference on Knowledge Capture, 2003.

2002

Learning from Infinite Data in Finite Time

P. Domingos, G. HultenAnnual Conference on Neural Information Processing Systems, 2002.

PlantCare: An investigation in practical ubiquitous systems

A. LaMarca, W. Brunette, D. Koizumi, M. Lease, S.B. Sigurdsson, K. Sikorski, D. Fox, G. BorrielloUbiComp, 2002.
Downloads: PDF 

Making sensor networks practical with robots

A. LaMarca, W. Brunette, D. Koizumi, M. Lease, S.B. Sigurdsson, K. Sikorski, D. Fox, G. BorrielloPervasive, 2002.
Downloads: PDF 

Toward Object Mapping in Dynamic Environments With Mobile Robots

R. Biswas, B. Limketkai, S. Sanner, S. ThrunIROS, 2002.

Real-time Particle Filters Using Mixtures of Samples Sets

C.T. Kwok, D. Fox, M. MeilăAAAI/KDD/UAI-2002 Joint Workshop on Real-Time Decision Support and Diagnosis Systems, 2002.

An Experimental Comparison of Localization Methods Continued

J.S. Gutmann, D. FoxIROS, 2002.
Downloads: PS 

An Overview of the Assisted Cognition Project

H. Kautz, L. Arnstein, G. Borriello, O. Etzioni, D. FoxAAAI Workshop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care, 2002.

Intelligent Ubiquitous Computing to Support Alzheimer's Patients: Enabling the Cognitively Disabled

D. Patterson, O. Etzioni, D. Fox, H. KautzUbiCog '02: First International Workshop on Ubiquitous Computing for Cognitive Aids, 2002.

Relational Markov models and their application to adaptive Web navigation

C. Anderson, P. Domingos, D. WeldKnowledge Discovery and Data Mining, 2002.

Learning to Map between Ontologies on the Semantic Web

A.H. Doan, J. Madhavan, P. Domingos, A. HalevyInternational World Wide Web Conference, 2002.

Mining Complex Models from Arbitrarily Large Databases in Constant Time

G. Hulten, P. DomingosKnowledge Discovery and Data Mining, 2002.

Mining knowledge-sharing sites for viral marketing

M. Richardson, P. DomingosKnowledge Discovery and Data Mining, 2002.

2001

Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach

A.H. Doan, P. Domingos, A. HalevyACM SIGMOD International Conference on Management of Data, 2001.

A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering

P. Domingos, G. HultenInternational Conference on Machine Learning, 2001.

Distributed Transcripts for Online Learning: Design Issues

S.L. TanimotoJournal of Interactive Media in Education:3, 2001.

Tracking Multiple Moving Targets with a Mobile Robot using Particle Filters and Statistical Data Association

D. Schulz, W. Burgard, D. Fox, A.  B. CremersICRA, 2001.
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Tracking Multiple Moving Objects with a Mobile Robot

D. Schulz, W. Burgard, D. FoxCVPR, 2001.
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Integrated Plan-based Control of Autonomous Service Robots in Human Environments

M. Beetz, T. Arbuckle, T. Belker, M. Bennewitz, W. Burgard, A.B. Cremers, D. Fox, H. Grosskreutz, D. Hähnel, D. SchulzIEEE Intelligent Systems 16:5, 2001.
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KLD-Sampling: Adaptive Particle Filters

D. FoxNIPSMIT Press, 2001.
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Robust Monte Carlo localization for mobile robots

S. Thrun, D. Fox, W. Burgard, F. DellaertArtificial Intelligence 128:1-2, 2001.
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The intelligent surfer: Probabilistic combination of link and content information in PageRank

M. Richardson, P. DomingosAnnual Conference on Neural Information Processing Systems, 2001.

Mining the network value of customers

P. Domingos, M. RichardsonKnowledge Discovery and Data Mining, 2001.

Mining Time-Changing Data Streams

G. Hulten, P. Domingos, L. SpencerKnowledge Discovery and Data Mining, 2001.

2000

Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva.

S. Thrun, M. Beetz, M. Bennewitz, W. Burgard, A.  B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. SchulzInternational Journal of Robotics Research 19:11, 2000.
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Coordination for Multi-Robot Exploration and Mapping

R. Simmons, D. Apfelbaum, W. Burgard, D. Fox, M. Moors, S. Thrun, H. YounesAAAI, 2000.
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Retrieval of Images Using Rich Region Descriptions

L. Cinque, L. F., S. Levialdi, S. TanimotoJ. Visual Languages and Computing 11:3, 2000.

Soccer-Robot Locatization Using Sporadic Visual Features

S. Enderle, M. Ritter, D. Fox, S. Sablatnög, G. Kraetzschmar, G. PalmIAS, 2000.
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Collaborative Multi-Robot Exploration

W. Burgard, M. Moors, D. Fox, R. Simmons, S. ThrunICRA, 2000.
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Web Interfaces for Mobile Robots in Public Places

D. Schulz, W. Burgard, D. Fox, S. Thrun, A.  B. CremersIEEE Robotics and Automation Magazine 7:1, 2000.
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Efficient multi-robot localization based on Monte Carlo approximation

D. Fox, W. Burgard, H. Kruppa, S. ThrunRobotics Research: the Ninth International SymposiumSpringer-Verlag, 2000.
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A Real-Time Algorithm for Mobile Robot Mapping With Applications to Multi-Robot and 3D Mapping

S. Thrun, W. Burgard, D. FoxICRA, 2000.  Best Paper Award
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A Probabilistic Approach to Collaborative Multi-Robot Localization

D. Fox, W. Burgard, H. Kruppa, S. ThrunAutonomous Robots 8:3, 2000.
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Monte Carlo Localization with Mixture Proposal Distribution

S. Thrun, D. Fox, W. BurgardAAAI, 2000.
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Coordinated Deployment of Multiple, Heterogeneous Robots

R. Simmons, D. Apfelbaum, D. Fox, R.P. Goldman, K.Z. Haigh, D.J. Musliner, M. Pelican, S. ThrunIROS, 2000.
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Particle filters for mobile robot localization

D. Fox, S. Thrun, F. Dellaert, W. Burgard, 2000.
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Mining high-speed data streams

G. Hulten, P. DomingosKnowledge Discovery and Data Mining, 2000.

1999

Experiences with two deployed interactive tour-guide robots

S. Thrun, M. Bennewitz, W. Burgard, A.  B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz, W. SteinerFSR, 1999.
Downloads: PDF 

Markov Localization for Mobile Robots in Dynamic Environments

D. Fox, W. Burgard, S. ThrunJournal of Artificial Intelligence Research 11, 1999.  Honorable mention: 2004 IJCAII-JAIR best paper prize
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Monte Carlo Localization: Efficient Position Estimation for Mobile Robots

D. Fox, W. Burgard, F. Dellaert, S. ThrunAAAI, 1999.  AAAI 2017 Classic Paper Award
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Probabilistic Methods for Mobile Robot Mapping

D. Fox, W. Burgard, S. ThrunProc. of the IJCAI-99 Workshop on Adaptive Spatial Representations of Dynamic Environments, 1999.

Experiences with an Interactive Museum Tour-Guide Robot

W. Burgard, A.  B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. ThrunArtificial Intelligence 114:1-2, 1999.
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MINERVA: A second generation mobile tour-guide robot

S. Thrun, M. Bennewitz, W. Burgard, A.  B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. SchulzICRA, 1999.
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Sonar-Based Mapping of Large-Scale Mobile Robot Environments Using EM

W. Burgard, D. Fox, H. Jans, C. Matenar, S. ThrunICML, 1999.
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Collaborative Multi-Robot Localization

D. Fox, W. Burgard, H. Kruppa, S. ThrunKISpringer Verlag, 1999.
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Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization

F. Dellaert, W. Burgard, D. Fox, S. ThrunCVPR, 1999.
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Markov Localization for Reliable Robot Navigation and People Detection

D. Fox, W. Burgard, S. ThrunModelling and Planning for Sensor-Based Intelligent Robot SystemsSpringer Verlag, 1999.

Coastal navigation: Mobile robot navigation with uncertainty in dynamic environments

N. Roy, W. Burgard, D. Fox, S. ThrunICRA, 1999.

Monte Carlo Localization for Mobile Robots

F. Dellaert, D. Fox, W. Burgard, S. ThrunICRA, 1999.
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1998

A Hybrid Collision Avoidance Method For Mobile Robots

D. Fox, W. Burgard, S. Thrun, A.  B. CremersICRA, 1998.
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An Experimental Comparison of Localization Methods

J.S. Gutmann, W. Burgard, D. Fox, K. KonoligeIROS, 1998.  Best Paper Award
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The Interactive Museum Tour-Guide Robot

W. Burgard, A.  B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. ThrunAAAI, 1998.  AAAI 1998 Outstanding Paper Award, AAAI 2016 Classic Paper Award
Downloads: PDF 

Probabilistic Mapping of an Environment by a Mobile Robot

S. Thrun, D. Fox, W. BurgardICRA, 1998.

The Museum Tour-Guide Robot RHINO

W. Burgard, A.  B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. ThrunProc. of Fachgespräch Autonome Mobile Systeme (AMS'98), 1998.

Real Robots for the Real World –- The RHINO Museum Tour-guide Project

W. Burgard, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, A.  B. CremersProc. of the AAAI 1998 Spring Symposium on Integrating Robotics Research: Taking the Next Leap, 1998.

A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

S. Thrun, D. Fox, W. BurgardMachine Learning 31, 1998.  
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Active Markov Localization for Mobile Robots

D. Fox, W. Burgard, S. ThrunRobotics and Autonomous Systems 25, 1998.
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Position Estimation for Mobile Robots in Dynamic Environments

D. Fox, W. Burgard, S. Thrun, A.  B. CremersAAAI, 1998.
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Integrating Active Localization into High-level Robot Control Systems

M. Beetz, W. Burgard, D. Fox, A.  B. CremersRobotics and Autonomous Systems 23, 1998.

Coastal Navigation: Robot Motion with Uncertainty

N. Roy, W. Burgard, D. Fox, S. ThrunProc. of the 1998 AAAI Fall Symposium, 1998.

Integrating Topological and Metric Maps for Mobile Robot Navigation: A Statistical Approach

S. Thrun, J.S. Gutmann, D. Fox, W. Burgard, B. KuipersAAAI, 1998.
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1997

Probabilistic State Estimation in Robotics

S. Thrun, D. Fox, W. BurgardProc. of the Workshop on Self-Organization of Adaptive Behavior, Ilmenau, GermanyVDI-Verlag, 1997.

The Dynamic Window Approach to Collision Avoidance

D. Fox, W. Burgard, S. ThrunIEEE Robotics & Automation Magazine 4:1, 1997.
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Fast Grid-Based Position Tracking for Mobile Robots

W. Burgard, D. Fox, D. HennigKISpringer Verlag, 1997.
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Active Mobile Robot Localization by Entropy Minimization

W. Burgard, D. Fox, S. ThrunProc. of the Second Euromicro Workshop on Advanced Mobile RobotsIEEE Computer Society Press, 1997.

Active Mobile Robot Localization

W. Burgard, D. Fox, S. ThrunIJCAI, 1997.
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Active Localization for Service Robot Applications

M. Beetz, W. Burgard, A.  B. Cremers, D. FoxProc. of the 5th Symposium for Intelligent Robotics Systems (SIRS'97), Stockholm, Sweden, 1997.

1996

Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids

W. Burgard, D. Fox, D. Hennig, T. SchmidtAAAI, 1996.  Honorable mention: AAAI 2014 Classic Paper Award
Downloads: PDF 

Map Learning and High-Speed Navigation in RHINO

S. Thrun, A. Bücken, W. Burgard, D. Fox, T. Fröhlinghaus, D. Hennig, T. Hofmann, M. Krell, T. Schimdt, 1996.
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Position Tracking with Position Probability Grids

W. Burgard, D. Fox, D. Hennig, T. SchmidtProc. of the First Euromicro Workshop on Advanced Mobile RobotsIEEE Computer Society Press, 1996.

1995

The Mobile Robot RHINO

J. Buhmann, W. Burgard, A.  B. Cremers, D. Fox, T. Hofmann, F. Schneider, J. Strikos, S. ThrunAI Magazine 16:2, 1995.

1987

The Elements of Artificial Intelligence: An Introduction Using Lisp

S. TanimotoPrinciples of Computer ScienceComputer Science Press, 1987.