2012

Detection-based Object Labeling in 3D Scenes Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox International Conference on Robotics and Automation, 2012. Full Paper (PDF)

2011

A Hierarchical Architecture for Adaptive Brain-Computer Interfacing Mike Chung, Willy Cheung, Reinhold Scherer and Rajesh Rao International Joint Conference on Artificial Intelligence, 2011. Full Paper (PDF)

A Class of Submodular Functions for Document Summarization Hui Lin and Jeff A Bilmes Annual Meeting of the Association for Computational Linguistics, 2011. Full Paper (PDF)

A Large-Scale Hierarchical Multi-View RGB-D Object Dataset Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox International Conference on Robotics and Automation, 2011. Full Paper (PDF)

A Scalable Tree-based Approach for Joint Object and Pose Recognition Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox AAAI Conference on Artificial Intelligence, 2011. Full Paper (PDF)

An Analysis of Open Information Extraction based on Semantic Role Labeling Janara Christensen, Mausam, Stephen Soderland and Oren Etzioni International Conference on Knowledge Capture, 2011. Full Paper (PDF)

An ideal observer model for identifying the reference frame of objects Joseph L. Austerweil, Abram L. Friesen and Thomas L. Griffiths Annual Conference on Neural Information Processing Systems, 2011. Full Paper (PDF)

Approximation by Quantization Vibhav Gogate and Pedro Domingos Uncertainty in Artificial Intelligence, 2011. Full Paper (PDF)

Artificial Intelligence for Artificial Artificial Intelligence Peng Dai, Mausam and Daniel S. Weld AAAI Conference on Artificial Intelligence, 2011. Full Paper (PDF)

Autonomous Generation of Complete 3D Object Models Using Next Best View Manipulation Planning Michael Krainin, Brian Curless and Dieter Fox International Conference on Robotics and Automation, 2011. Full Paper (PDF)

Bootstrapping Semantic Parsers from Conversations Yoav Artzi and Luke S. Zettlemoyer Conference on Empirical Methods in Natural Language Processing, 2011. Full Paper (PDF)

Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models Chloé Kiddon and Pedro Domingos AAAI Conference on Artificial Intelligence, 2011. Full Paper (PDF)

Data-Driven Response Generation in Social Media Alan Ritter, Colin Cherry and Bill Dolan Conference on Empirical Methods in Natural Language Processing, 2011. Full Paper (PDF)

Depth Kernel Descriptors for Object Recognition Liefeng Bo, Xiaofeng Ren and Dieter Fox IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011. Full Paper (PDF)

Effective End-User Interaction with Machine Learning Saleema Amershi, James Fogarty, Ashish Kapoor and Desney Tan AAAI Conference on Artificial Intelligence, 2011. Full Paper (PDF)

Gambit: A Robust Chess-Playing Robotic System Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc P Deisenroth, Liefeng Bo and Dieter Fox International Conference on Robotics and Automation, 2011. Full Paper (PDF)

Gaze Following as Goal Inference: A Bayesian Model Abram L. Friesen and Rajesh Rao Conference of the Cognitive Science Society, 2011. Full Paper (PDF)

Heuristic Search for Generalized Stochastic Shortest Path MDPs Andrey Kolobov, Mausam, Daniel S. Weld and Hector Geffner International Conference on Automated Planning and Scheduling, 2011. Full Paper (PDF)

Human Intelligence Needs Artificial Intelligence Daniel S. Weld, Mausam and Peng Dai Human Computation Workshop, 2011. Full Paper (PDF)

Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan and Blaine Christian International Joint Conference on Artificial Intelligence, 2011. Full Paper (PDF)

Identifying Relations for Open Information Extraction Anthony Fader, Stephen Soderland and Oren Etzioni Conference on Empirical Methods in Natural Language Processing, 2011. Full Paper (PDF) (Data)

Implementing Weighted Abduction in Markov Logic James Blythe, Jerry R. Hobbs, Pedro Domingos, Rohit Kate and Raymond J. Mooney International Conference on Computational Semantics, 2011. Full Paper (PDF)

Inference Over the Web Stefan Schoenmackers PHD Thesis, 2011. Book (PDF) (Data)

Interactive 3D Modeling of Indoor Environments with a Consumer Depth Camera Hao Du, Peter Henry, Xiaofeng Ren, Marvin Cheng, Dan B Goldman, Steven Seitz and Dieter Fox International Conference on Ubiquitous Computing, 2011. Full Paper (PDF)

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations Raphael Hoffmann, Xiao Ling, Luke S. Zettlemoyer and Daniel S. Weld Annual Meeting of the Association for Computational Linguistics, 2011. Full Paper (PDF)

Learning to Recover Meaning from Unannotated Conversational Interactions Yoav Artzi and Luke S. Zettlemoyer Annual Conference on Neural Information Processing Systems, 2011. Workshop Paper (PDF)

Manipulator and Object Tracking for In-Hand 3D Object Modeling Michael Krainin, Peter Henry, Xiaofeng Ren and Dieter Fox International Journal of Robotics Research, 2011. Journal Article (PDF)

Named Entity Recognition in Tweets: An Experimental Study Alan Ritter, Sam Clark, Mausam and Oren Etzioni Conference on Empirical Methods in Natural Language Processing, 2011. Full Paper (PDF)

Object Recognition with Hierarchical Kernel Descriptors Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox IEEE International Conference on Computer Vision and Pattern Recognition , 2011. Full Paper (PDF)

Open Information Extraction: the Second Generation Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland and Mausam International Joint Conference on Artificial Intelligence, 2011. Full Paper (PDF)

Parser Evaluation over Local and Non-Local Deep Dependencies in a Large Corpus Emily Bender, Dan Flickinger, Stephan Oepen and Yi Zhang Conference on Empirical Methods in Natural Language Processing, 2011. Full Paper (PDF)

Predictive Coding Yanping Huang and Rajesh Rao Wiley Interdisciplinary Reviews, 2011. Journal Article (PDF)

Probabilistic Theorem Proving Vibhav Gogate and Pedro Domingos Uncertainty in Artificial Intelligence, 2011. Full Paper (PDF)

Question Detection In Spoken Conversations Using Textual Conversations Anna Margolis and Mari Ostendorf Annual Meeting of the Association for Computational Linguistics, 2011. Full Paper (PDF)

RGB-D Object Discovery Via Multi-Scene Analysis Evan Herbst, Xiaofeng Ren and Dieter Fox IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011. Full Paper (PDF) (Slides)

Sparse Distance Learning for Object Recognition Combining RGB and Depth Information Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox International Conference on Robotics and Automation, 2011. Full Paper (PDF)     Best Vision Paper Award

Sum-Product Networks: A New Deep Architecture Hoifung Poon and Pedro Domingos Uncertainty in Artificial Intelligence, 2011. Full Paper (PDF)     Best Paper Award

Toward Object Discovery and Modeling via 3-D Scene Comparison Evan Herbst, Peter Henry, Xiaofeng Ren and Dieter Fox International Conference on Robotics and Automation, 2011. Full Paper (PDF) (Slides)

Using Multiple Models to Understand Data Kayur Patel, Steven M Drucker, James Fogarty, Ashish Kapoor and Desney Tan International Joint Conference on Artificial Intelligence, 2011. Full Paper (PDF)

Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera Albert S. Huang, Abraham Bachrach, Peter Henry, Michael Krainin, Daniel Maturana and Dieter Fox International Symposium on Robotics Research, 2011. Full Paper (PDF)

Word Alignment Via Submodular Maximization Over Matroids Hui Lin and Jeff A Bilmes Annual Meeting of the Association for Computational Linguistics, 2011. Full Paper (PDF)

2010

A Latent Dirichlet Allocation method for Selectional Preferences Alan Ritter, Mausam and Oren Etzioni Annual Meeting of the Association for Computational Linguistics, 2010. Full Paper (PDF)

Analysis of a Probabilistic Model of Redundancy in Unsupervised Information Extraction Doug Downey, Oren Etzioni and Stephen Soderland Artificial Intelligence, 2010. Journal Article (PDF)

Approximate Inference by Compilation to Arithmetic Circuits Daniel Lowd and Pedro Domingos Annual Conference on Neural Information Processing Systems, 2010. Full Paper (PDF)

Approximate Lifted Belief Propagation Parag Singla, Aniruddh Nath and Pedro Domingos Workshop on Statistical Relational AI, 2010. Workshop Paper (PDF)

Bottom-Up Learning of Markov Network Structure Jesse Davis and Pedro Domingos International Conference on Machine Learning, 2010. Full Paper (PDF)

Character Animation in Two-Player Adversarial Games Kevin Wampler, Erik Andersen, Evan Herbst, Yongjoon Lee and Zoran Popovic ACM Transactions on Graphics, 2010. Journal Paper

Classical Planning in MDP Heuristics: With a Little Help from Generalization Andrey Kolobov, Mausam and Daniel S. Weld International Conference on Automated Planning and Scheduling, 2010. Full Paper (PDF)

Commonsense from the Web: Relation Properties Thomas Lin, Mausam and Oren Etzioni AAAI Fall Symposium Series, 2010. AAAI Fall Symposia Paper (PDF)

Decision Making under Uncertainty: A Neural Model based on Partially Observable Markov Decision Processes Rajesh Rao Frontiers in Computational Neuroscience, 2010. Journal Article

Decision-Theoretic Control for Crowdsourced Workflows Peng Dai, Mausam and Daniel S. Weld AAAI Conference on Artificial Intelligence, 2010. Full Paper (PDF)

Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models Danny Wyatt, Tanzeem Choudhury and Jeff A Bilmes AAAI Conference on Artificial Intelligence, 2010. Full Paper (PDF)

Efficient Belief Propagation for Utility Maximization and Repeated Inference Aniruddh Nath and Pedro Domingos AAAI Conference on Artificial Intelligence, 2010. Full Paper (PDF)

Efficient Lifting for Online Probabilistic Inference Aniruddh Nath and Pedro Domingos AAAI Conference on Artificial Intelligence, 2010. Full Paper (PDF) (Dataset)

Exploiting Logical Structure in Lifted Probabilistic Inference Vibhav Gogate and Pedro Domingos Workshop on Statistical Relational AI, 2010. Workshop Paper (PDF)

Extracting Sequences from the Web Anthony Fader, Stephen Soderland and Oren Etzioni Annual Meeting of the Association for Computational Linguistics, 2010. Short Paper (PDF)

Following Directions Using Statistical Machine Translation Cynthia Matuszek, Dieter Fox and Karl Koscher ACM/IEEE International Conference on Human-Robot Interaction, 2010. Full Paper (PDF)

Formula-Based Probabilistic Inference Vibhav Gogate and Pedro Domingos Uncertainty in Artificial Intelligence, 2010. Full Paper (PDF)

Hitting the Right Paraphrases in Good Time Stanley Kok and Chris Brockett Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010. Full Paper (PDF)

Identifying Functional Relations in Web Text Thomas Lin, Mausam and Oren Etzioni Conference on Empirical Methods in Natural Language Processing, 2010. Full Paper (PDF)

Imitation Learning with Hierarchical Actions Abram L. Friesen and Rajesh Rao IEEE International Conference on Development and Learning, 2010. Poster (PDF)

Inducing Probabilistic CCG Grammars from Logical Form with Higher-order Unification Tom Kwiatkowski, Luke S. Zettlemoyer, Sharon Goldwater and Mark Steedman Conference on Empirical Methods in Natural Language Processing, 2010. Full Paper

Interactive Submodular Set Cover Andrew Guillory and Jeff A Bilmes International Conference on Machine Learning, 2010. Full Paper (PDF)

Inverse Optimal Control with Linearly Solvable MDPs Krishnamurthy Dvijotham and Emo Todorov International Conference on Machine Learning, 2010. Full Paper (PDF)

Kernel Descriptors for Visual Recognition Liefeng Bo, Xiaofeng Ren and Dieter Fox Annual Conference on Neural Information Processing Systems, 2010. Full Paper (PDF)

Learning 5000 Relational Extractors Raphael Hoffmann and Daniel S. Weld Annual Meeting of the Association for Computational Linguistics, 2010. Full Paper (PDF)

Learning Efficient Markov Networks Vibhav Gogate, William Austin Webb and Pedro Domingos Annual Conference on Neural Information Processing Systems, 2010. Full Paper (PDF)

Learning First-Order Horn Clauses from Web Text Stefan Schoenmackers, Jesse Davis, Oren Etzioni and Daniel S. Weld Conference on Empirical Methods in Natural Language Processing, 2010. Full Paper (PDF)

Learning Markov Logic Networks Using Structural Motifs Stanley Kok and Pedro Domingos International Conference on Machine Learning, 2010. Full Paper (PDF)

Learning to Navigate Through Crowded Environments Peter Henry, Christian Vollmer, Brian Ferris and Dieter Fox International Conference on Robotics and Automation, 2010. Full Paper (PDF)

Leveraging Ontologies for Lifted Probabilistic Inference and Learning Chloé Kiddon and Pedro Domingos Workshop on Statistical Relational AI, 2010. Workshop Paper

Lifted Inference Seen from the Other Side: The Tractable Features Abhay K Jha, Vibhav Gogate, Alexandra Meliou and Dan Suciu Annual Conference on Neural Information Processing Systems, 2010. Full Paper (PDF)

Machine Reading at the University of Washington Hoifung Poon, Janara Christensen, Pedro Domingos, Oren Etzioni, Raphael Hoffmann, Chloé Kiddon, Thomas Lin, Xiao Ling, Mausam, Alan Ritter, Stefan Schoenmackers, Stephen Soderland, Daniel S. Weld and Fei Wu Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010. Workshop Paper (PDF)

Machine Reading: A "Killer App" for Statistical Relational AI Hoifung Poon and Pedro Domingos Workshop on Statistical Relational AI, 2010. Workshop Paper (PDF)

Object Detection in 3D Point Clouds Using Web Data and Domain Adaptation Kevin Lai and Dieter Fox International Journal of Robotics Research, 2010. Journal Article (PDF)

OneBusAway: Location-Aware Tools for Improving Public Transit Usability Brian Ferris, Kari Watkins and Alan Borning IEEE Pervasive Computing, 2010. Journal Article (PDF)

OneBusAway: Results from Providing Real-Time Arrival Information for Public Transit Brian Ferris, Kari Watkins and Alan Borning Conference on Human Factors in Computing Systems, 2010. Full Paper (PDF)     Best Paper Nominee

Open Information Extraction using Wikipedia Fei Wu and Daniel S. Weld Annual Meeting of the Association for Computational Linguistics, 2010. Full Paper (PDF) (Program Output) (Dataset) (Dataset) (Code)

Panlingual Lexical Translation via Probabilistic Inference Mausam, Stephen Soderland and Oren Etzioni AAAI Conference on Artificial Intelligence, 2010. Full Paper (PDF)

Panlingual Lexical Translation via Probabilistic Inference Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Kobi Reiter, Michael Skinner, Marcus Sammer and Jeff A Bilmes Artificial Intelligence, 2010. Journal Article (PDF)

RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments Peter Henry, Michael Krainin, Evan Herbst, Xiaofeng Ren and Dieter Fox International Symposium on Experimental Robotics, 2010. Paper (PDF)

Reading Between the Lines: Learning to Map High-level Instructions to Commands S.R.K. Branavan, Luke S. Zettlemoyer and Regina Barzilay Annual Meeting of the Association for Computational Linguistics, 2010. Full Paper (PDF)

Semantic Role Labeling for Open Information Extraction Janara Christensen, Mausam, Stephen Soderland and Oren Etzioni Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010. Workshop Paper (PDF)

SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs Andrey Kolobov, Mausam and Daniel S. Weld AAAI Conference on Artificial Intelligence, 2010. Full Paper (PDF)

Temporal Information Extraction Xiao Ling and Daniel S. Weld AAAI Conference on Artificial Intelligence, 2010. Full Paper (PDF) (Dataset)

Twin Gaussian Processes for Structured Prediction Liefeng Bo and Cristian Sminchisescu International Journal of Computer Vision, 2010. Journal Article (PDF)

Unsupervised Modeling of Twitter Conversations Alan Ritter, Colin Cherry and Bill Dolan Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010. Full Paper (PDF)

Unsupervised Ontology Induction from Text Hoifung Poon and Pedro Domingos Annual Meeting of the Association for Computational Linguistics, 2010. Full Paper (PDF)

User-Specific Learning for Recognizing a Singer’s Intended Pitch Andrew Guillory, Sumit Basu and Dan Morris AAAI Conference on Artificial Intelligence, 2010. Full Paper (PDF)

2009

3D Laser Scan Classification Using Web Data and Domain Adaptation Kevin Lai and Dieter Fox Robotics: Science and Systems, 2009. Full Paper (PDF)

A Language for Relational Decision Theory Aniruddh Nath and Pedro Domingos International Workshop on Statistical Relational Learning, 2009. Workshop Paper (PDF)

A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search Janara Christensen, Mausam and Oren Etzioni Annual Meeting of the Association for Computational Linguistics, 2009. Full Paper (PDF)

A Spotlight on Security and Privacy Risks with Future Household Robots: Attacks and Lessons Tamara Denning, Cynthia Matuszek, Karl Koscher, Joshua R Smith and Tadayoshi Kohno International Conference on Ubiquitous Computing, 2009. Full Paper (PDF)

Amplifying Community Content Creation with Mixed Initiative Information Extraction Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty and Daniel S. Weld Conference on Human Factors in Computing Systems, 2009. Full Paper (PDF)     Best Paper Nominee

Anatomically Correct Testbed Hand Control: Muscle and Joint Control Strategies Ashish Deshpande, Jonathan Ko, Dieter Fox and Yoky Matsuoka International Conference on Robotics and Automation, 2009. Full Paper (PDF)

Collective Modeling of Human Social Behavior Danny Wyatt AAAI Spring Symposium Series, 2009. Symposia Paper (PDF)

Competitive Learning for Deep Temporal Networks Robert Gens and Pedro Domingos Annual Conference on Neural Information Processing Systems, 2009. Workshop Paper (PDF)

Compiling a Massive, Multilingual Dictionary via Probabilistic Inference Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Michael Skinner and Jeff A Bilmes Annual Meeting of the Association for Computational Linguistics, 2009. Full Paper (PDF)

Conditional Neural Fields Jian Peng, Liefeng Bo and Jinbo Xu Annual Conference on Neural Information Processing Systems, 2009. Full Paper (PDF)

Deep Transfer via Second-Order Markov Logic Jesse Davis and Pedro Domingos International Conference on Machine Learning, 2009. Full Paper (PDF)

Domain-Independent, Automatic Partitioning for Probabilistic Planning Peng Dai, Mausam and Daniel S. Weld International Joint Conference on Artificial Intelligence, 2009. Full Paper (PDF)

Dynamic Multi-Valued Network Models for Predicting Face-to-Face Conversations Danny Wyatt, Jeff A Bilmes and Tanzeem Choudhury Annual Conference on Neural Information Processing Systems, 2009. Workshop Paper

Efficient Match Kernels between Sets of Features for Visual Recognition Liefeng Bo and Cristian Sminchisescu Annual Conference on Neural Information Processing Systems, 2009. Full Paper (PDF)

Filter, Rank, and Transfer the Knowledge: Learning to Chat Sina Jafarpour, Chris Burges and Alan Ritter Annual Conference on Neural Information Processing Systems, 2009. Workshop Paper (PDF)

Focused Topological Value Iteration Peng Dai, Mausam and Daniel S. Weld International Conference on Automated Planning and Scheduling, 2009. Full Paper (PDF)

GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models Jonathan Ko and Dieter Fox Autonomus Robots, 2009. Journal Article

Identifying Interesting Assertions from the Web Thomas Lin, Oren Etzioni and James Fogarty ACM Conference on Information and Knowledge Management, 2009. Full Paper (PDF)

Label Selection on Graphs Andrew Guillory and Jeff A Bilmes Annual Conference on Neural Information Processing Systems, 2009. Full Paper (PDF)

Learning Context-dependent Mappings from Sentences to Logical Form Luke S. Zettlemoyer and Michael Collins Annual Meeting of the Association for Computational Linguistics, 2009. Full Paper (PDF)

Learning GPBFs via Gaussian Process Latent Variable Models Jonathan Ko and Dieter Fox Robotics: Science and Systems, 2009. Full Paper (PDF)

Learning Markov Logic Network Structure via Hypergraph Lifting Stanley Kok and Pedro Domingos International Conference on Machine Learning, 2009. Full Paper (PDF)

Learning to Generalize for Complex Selection Tasks Alan Ritter and Sumit Basu International Conference on Intelligent User Interfaces, 2009. Full Paper (PDF)     Best Student Paper Award

Lemmatic Machine Translation Stephen Soderland, Christopher Lim, Mausam, Bo Qin, Oren Etzioni and Jonathan Pool Machine Translation Summit, 2009. Full Paper (PDF)

ReTrASE: Intergating Paradigms for Approximate Probabilistic Planning Andrey Kolobov, Mausam and Daniel S. Weld International Joint Conference on Artificial Intelligence, 2009. Full Paper (PDF)

Reinforcement Learning for Mapping Instructions to Actions S.R.K. Branavan, Harr Chen, Luke S. Zettlemoyer and Regina Barzilay Annual Meeting of the Association for Computational Linguistics, 2009. Full Paper (PDF)     Best Paper Award

Semi-Supervised Learning of Semantic Classes for Query Understanding – from the Web and for the Web Ye-Yi Wang, Raphael Hoffmann, Xiao Li and Jakub Szymanski ACM Conference on Information and Knowledge Management, 2009. Full Paper (PDF)

Sensing and Predicting the Pulse of the City through Shared Bicycling Jon E Froehlich, Joachim Neumann and Nuria Oliver International Joint Conference on Artificial Intelligence, 2009. Full Paper (PDF)

Unsupervised Methods for Determining Object and Relation Synonyms on the Web Alexander Yates and Oren Etzioni Journal of Artificial Intelligence Research, 2009. Journal Article (PDF)

Unsupervised Semantic Parsing Hoifung Poon and Pedro Domingos Conference on Empirical Methods in Natural Language Processing, 2009. Full Paper (PDF)     Best Paper Award

What Is This, Anyway: Automatic Hypernym Discovery Alan Ritter, Stephen Soderland and Oren Etzioni AAAI Spring Symposium Series, 2009. Symposia Paper (PDF)

2008

A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC Hoifung Poon, Pedro Domingos and Marc Sumner AAAI Conference on Artificial Intelligence, 2008. Full Paper (PDF) (Slides) (Code)

Augmenting Wikipedia-Extraction with Results from the Web Fei Wu, Raphael Hoffmann and Daniel S. Weld AAAI Conference on Artificial Intelligence, 2008. Workshop (PDF)

Automatically Refining the Wikipedia Infobox Ontology Fei Wu and Daniel S. Weld International World Wide Web Conference, 2008. Full Paper (PDF)     Runner-up for Best Student Paper Award

Discovery of Social Relationships in Consumer Photo Collections using Markov Logic Parag Singla, Henry Kautz, Jiebo Luo and Andrew Gallagher International Workshop on Semantic Learning and Applications in Multimedia, 2008. Workshop Paper (PDF)

Evaluating Visual Cues for Window Switching on Large Screens Raphael Hoffmann, Patrick Baudisch and Daniel S. Weld Conference on Human Factors in Computing Systems, 2008. Full Paper (PDF)

Extracting Semantic Networks from Text via Relational Clustering Stanley Kok and Pedro Domingos European Conference on Machine Learning, 2008. Full Paper (PDF)

GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models Jonathan Ko and Dieter Fox IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008. Full Paper (PDF)

Hybrid Markov Logic Networks Jue Wang and Pedro Domingos AAAI Conference on Artificial Intelligence, 2008. Full Paper (PDF) (Slides) (Code)

Improving the Performance of Motor-Impaired Users with Automatically-Generated, Ability-Based Interfaces Krzysztof Z Gajos, Jacob O. Wobbrock and Daniel S. Weld Conference on Human Factors in Computing Systems, 2008. Full Paper (PDF)     Best Paper Winner

Information Extraction from Wikipedia: Moving Down the long Tail Fei Wu, Raphael Hoffmann and Daniel S. Weld Knowledge Discovery and Data Mining, 2008. Full Paper (PDF)

Intelligence in Wikipedia Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel and Michael Skinner AAAI Conference on Artificial Intelligence, 2008. Full Paper (PDF)

It's a Contradiction -- No, It's Not: A Case Study using Functional Relations Alan Ritter, Doug Downey, Stephen Soderland and Oren Etzioni Conference on Empirical Methods in Natural Language Processing, 2008. Full Paper (PDF)

Learning Hidden Curved Exponential Random Graph Models to Infer Face-to-Face Interaction Networks from Situated Speech Data Danny Wyatt, Tanzeem Choudhury and Jeff A Bilmes AAAI Conference on Artificial Intelligence, 2008. Full Paper (PDF)

Learning arithmetic circuits Daniel Lowd and Pedro Domingos Uncertainty in Artificial Intelligence, 2008. Full Paper (PDF)

Lifted First-Order Belief Propagation Parag Singla and Pedro Domingos AAAI Conference on Artificial Intelligence, 2008. Full Paper (PDF)

Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification Doug Downey and Oren Etzioni Annual Conference on Neural Information Processing Systems, 2008. Full Paper (PDF)

Open Information Extraction from the Web Oren Etzioni, Michele Banko, Stephen Soderland and Daniel S. Weld Communications of the ACM, 2008. Journal Article (PDF)

Partitioned External Memory Value Iteration Peng Dai, Mausam and Daniel S. Weld AAAI Conference on Artificial Intelligence, 2008. Full Paper (PDF)

Planning with Durative Actions in Stochastic Domains Mausam and Daniel S. Weld Journal of Artificial Intelligence Research, 2008. Journal Article (PDF)

Predictability and Accuracy in Adaptive User Interfaces Krzysztof Z Gajos, Katherine Everitt, Desney Tan, Mary Czerwinski and Daniel S. Weld Conference on Human Factors in Computing Systems, 2008. Note (PDF)

Recovering from Errors during Programming by Demonstration Jiun-Hung Chen and Daniel S. Weld International Conference on Intelligent User Interfaces, 2008. Full Paper (PDF)

Scaling Textual Inference to the Web Stefan Schoenmackers, Oren Etzioni and Daniel S. Weld Conference on Empirical Methods in Natural Language Processing, 2008. Full Paper (PDF)

The Tradeoffs Between Open and Traditional Relation Extraction Michele Banko and Oren Etzioni Annual Meeting of the Association for Computational Linguistics, 2008. Full Paper (PDF)

Towards the Automated Social Analysis of Situated Speech Data Danny Wyatt, Tanzeem Choudhury, Jeff A Bilmes and James A Kitts International Conference on Ubiquitous Computing, 2008. Note (PDF)

2007

A Hybridized Planner for Stochastic Domains Mausam, Piergiorgio Bertoli and Daniel S. Weld International Joint Conference on Artificial Intelligence, 2007. Full Paper (PDF)

A Privacy-Sensitive Approach to Modeling Multi-Person Conversations Danny Wyatt, Tanzeem Choudhury, Jeff A Bilmes and Henry Kautz International Joint Conference on Artificial Intelligence, 2007. Full Paper (PDF)

Assieme: Finding and Leveraging Implicit References in a Web Search Interface for Programmers Raphael Hoffmann, James Fogarty and Daniel S. Weld Symposium on User Interface Software and Technology, 2007. Full Paper (PDF)

Automatically Generating User Interfaces Adapted To User's Motor And Vision Capabilities Krzysztof Z Gajos, Jacob O. Wobbrock and Daniel S. Weld Symposium on User Interface Software and Technology, 2007. Full Paper (PDF)

Autonomously Semantifying Wikipedia Fei Wu and Daniel S. Weld ACM Conference on Information and Knowledge Management, 2007. Full Paper (PDF)     Best paper Award

Capturing Spontaneous Conversation and Social Dynamics: A Privacy Sensitive Data Collection Effort Danny Wyatt, Tanzeem Choudhury and Henry Kautz International Conference on Acoustic and Speech Signal Processing, 2007. Full Paper (PDF)

Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data Danny Wyatt, Tanzeem Choudhury and Jeff A Bilmes Interspeech, 2007. Full Paper (PDF)

Creating Social Network Models from Sensor Data Danny Wyatt, Tanzeem Choudhury and Jeff A Bilmes Annual Conference on Neural Information Processing Systems, 2007. Workshop Paper

Efficient Weight Learning for Markov Logic Networks Daniel Lowd and Pedro Domingos European Conference on Principles and Practice of Knowledge Discovery in Databases, 2007. Full Paper (PDF)

GP-UKF: Unscented Kalman Filters with Gaussian Process Prediction and Observation Models Jonathan Ko, Daniel Klein, Dieter Fox and Dirk Haehnel IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007. Full Paper (PDF)     Best Student Paper Award

Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp Jonathan Ko, Daniel Klein and Dieter Fox International Conference on Robotics and Automation, 2007. Full Paper (PDF)

Joint Inference in Information Extraction Hoifung Poon and Pedro Domingos AAAI Spring Symposium Series, 2007. Full Paper (PDF)

Lexical Translation with Application to Image Search on the Web Oren Etzioni, Kobi Reiter, Stephen Soderland and Marcus Sammer Machine Translation Summit, 2007. Full Paper (PDF)

Locating Complex Named Entities in Web Text Doug Downey, Matt Broadhead and Oren Etzioni International Joint Conference on Artificial Intelligence, 2007. Full Paper (PDF)

Machine Reading Oren Etzioni, Michele Banko and Michael J Cafarella AAAI Spring Symposium Series, 2007. Symposia Paper (PDF)

Markov Logic in Infinite Domains Parag Singla and Pedro Domingos Uncertainty in Artificial Intelligence, 2007. Full Paper (PDF)

Navigating Extracted Data with Schema Discovery Michael J Cafarella, Dan Suciu and Oren Etzioni International Workshop on the Web and Databases, 2007. Full Paper (PDF)

Open Information Extraction from the Web Michele Banko, Michael J Cafarella, Stephen Soderland, Matt Broadhead and Oren Etzioni International Joint Conference on Artificial Intelligence, 2007. Full Paper (PDF)

Recursive Random Fields Daniel Lowd and Pedro Domingos International Joint Conference on Artificial Intelligence, 2007. Full Paper (PDF)

Sparse Information Extraction: Unsupervised Language Models to the Rescue Doug Downey, Stefan Schoenmackers and Oren Etzioni Annual Meeting of the Association for Computational Linguistics, 2007. Full Paper (PDF)

Statistical Predicate Invention Stanley Kok and Pedro Domingos International Conference on Machine Learning, 2007. Full Paper (PDF)

Strategies for Lifelong Knowledge Extraction from the Web Michele Banko and Oren Etzioni International Conference on Knowledge Capture, 2007. Full Paper (PDF)     Best Student Paper Award

Structured Machine Learning: Ten Problems for the Next Ten Years Pedro Domingos International Conference on Inductive Logic Programming, 2007. Full Paper (PDF)

Structured Querying of Web Text Michael J Cafarella, Christopher Re, Dan Suciu, Oren Etzioni and Michele Banko Biennial Conference on Innovative Data Systems Research, 2007. Full Paper (PDF)

Unsupervised Resolution of Objects and Relations on the Web Alexander Yates and Oren Etzioni Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2007. Full Paper (PDF)

WiFi-SLAM Using Gaussian Process Latent Variable Models Brian Ferris, Dieter Fox and Neil Lawrence International Joint Conference on Artificial Intelligence, 2007. Poster (PDF)

2006

Ambiguity Reduction for Machine Translation: Human-Computer Collaboration Marcus Sammer, Kobi Reiter, Stephen Soderland, Katrin Kirchhoff and Oren Etzioni biennial conference of the Association for Machine Translation in the Americas, 2006. Full Paper (PDF)

Automatically Generating Custom User Interfaces for Users With Physical Disabilities Krzysztof Z Gajos, Jing Jing Long and Daniel S. Weld ACM SIGACCESS Conference on Assistive Technologies, 2006. Poster (PDF)

Challenges for Temporal Planning with Uncertain Durations Mausam and Daniel S. Weld International Conference on Automated Planning and Scheduling, 2006. Poster (PDF)

Detecting Parser Errors Using Web-based Semantic Filters Alexander Yates, Stefan Schoenmackers and Oren Etzioni Conference on Empirical Methods in Natural Language Processing, 2006. Full Paper (PDF)

Distributed Multi-Robot Exploration and Mapping Dieter Fox, Jonathan Ko, Kurt Konolige, Benson Limketkai, Dirk Schulz and Benjamin Stewart Proceedings of the IEEE, 2006. Journal Article (PDF)

Entity Resolution with Markov Logic Parag Singla and Pedro Domingos IEEE International Conference on Data Mining, 2006. Full Paper (PDF)

Gaussian Processes for Signal Strength-Based Location Estimation Brian Ferris, Dirk Haehnel and Dieter Fox Robotics: Science and Systems, 2006. Poster (PDF)

Machine Reading Oren Etzioni, Michele Banko and Michael J Cafarella AAAI Conference on Artificial Intelligence, 2006. Full Paper (PDF)

Markov Logic Networks Matt Richardson and Pedro Domingos Machine Learning Journal, 2006. Journal Article (PDF)

Memory-Efficient Inference in Relational Domains Parag Singla and Pedro Domingos AAAI Conference on Artificial Intelligence, 2006. Full Paper (PDF)

Probabilistic Temporal Planning with Uncertain Durations Mausam and Daniel S. Weld AAAI Conference on Artificial Intelligence, 2006. Full Paper (PDF)

Sound and Efficient Inference with Probabilistic and Deterministic Dependencies Hoifung Poon and Pedro Domingos AAAI Conference on Artificial Intelligence, 2006. Full Paper (PDF)

Structured Queries Over Web Text Michael J Cafarella, Oren Etzioni and Dan Suciu IEEE Data Engineering Bulletin, 2006. Journal Article (PDF)

Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives Tanzeem Choudhury, Matthai Philipose, Danny Wyatt and Jonathan Lester IEEE Data Engineering Bulletin, 2006. Journal Article (PDF)

Unifying Logical and Statistical AI Pedro Domingos, Stanley Kok, Hoifung Poon, Matt Richardson and Parag Singla AAAI Conference on Artificial Intelligence, 2006. Full Paper

2005

A Probabilistic Model of Redundancy in Information Extraction Doug Downey, Oren Etzioni and Stephen Soderland International Joint Conference on Artificial Intelligence, 2005. Full Paper (PDF)     Distinguished Paper Award

A Search Engine for Natural Language Applications Michael J Cafarella and Oren Etzioni International World Wide Web Conference, 2005. Full Paper (PDF)

Concurrent Probabilistic Temporal Planning Mausam and Daniel S. Weld International Conference on Automated Planning and Scheduling, 2005. Full Paper

Discriminative Training of Markov Logic Networks Parag Singla and Pedro Domingos AAAI Conference on Artificial Intelligence, 2005. Full Paper (PDF)

Extracting Product Features and Opinions from Reviews Ana-Maria Popescu and Oren Etzioni Conference on Empirical Methods in Natural Language Processing, 2005. Full Paper (PDF)

KnowItNow: Fast, Scalable Information Extraction from the Web Michael J Cafarella, Doug Downey, Stephen Soderland and Oren Etzioni Conference on Empirical Methods in Natural Language Processing, 2005. Full Paper (PDF)

Learning the Structure of Markov Logic Networks Stanley Kok and Pedro Domingos International Conference on Machine Learning, 2005. Full Paper (PDF)

Mining social networks for viral marketing Pedro Domingos IEEE Intelligent Systems, 2005. Journal Article (PDF)

Object identification with attribute-mediated dependencies Parag Singla and Pedro Domingos European Conference on Principles and Practice of Knowledge Discovery in Databases, 2005. Full Paper (PDF)     Best Paper Award

Preference Elicitation for Interface Optimization Krzysztof Z Gajos and Daniel S. Weld Symposium on User Interface Software and Technology, 2005. Full Paper (PDF)

Unsupervised Activity Recognition Using Automatically Mined Common Sense Danny Wyatt, Matthai Philipose and Tanzeem Choudhury AAAI Conference on Artificial Intelligence, 2005. Full Paper (PDF)

Unsupervised Named-Entity Extraction from the Web: An Experimental Study Oren Etzioni, Michael J Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld and Alexander Yates Artificial Intelligence, 2005. Journal Article (PDF)

2004

Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison Oren Etzioni, Michael J Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland and Alexander Yates AAAI Conference on Artificial Intelligence, 2004. Full Paper (PDF)

Modern Natural Language Interfaces to Databases: Composing Statistical Parsing with Semantic Tractability Ana-Maria Popescu, Alex Armanasu, Oren Etzioni, David Ko and Alexander Yates International Conference on Computational Linguistics, 2004. Full Paper (PDF)

Multi-relational record linkage Parag Singla and Pedro Domingos KDD Workshop on Multi-Relational Data Mining, 2004. Workshop Paper (PDF)

SUPPLE: Automatically Generating User Interfaces Krzysztof Z Gajos and Daniel S. Weld International Conference on Intelligent User Interfaces, 2004. Full Paper (PDF)

Semantic Email Luke McDowell, Oren Etzioni, Alon Halevy and Hank Levy International World Wide Web Conference, 2004. Full Paper (PDF)     Runner-up for Best Student Paper Award

Semantic Email: Theory and Applications Luke McDowell, Oren Etzioni and Alon Halevy Journal of Web Semantics, 2004. Journal Article (PDF)

Solving Concurrent Markov Decision Processes Mausam and Daniel S. Weld AAAI Conference on Artificial Intelligence, 2004. Full Paper (PDF)

The Specification of Agent Behavior by Ordinary People: A Case Study Luke McDowell, Oren Etzioni and Alon Halevy International Semantic Web Conference, 2004. Full Paper (PDF)

WebScale Information Extraction in KnowItAll (Preliminary Results) Oren Etzioni, Michael J Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld and Alexander Yates International World Wide Web Conference, 2004. Full Paper (PDF)

iMAP: Discovering Complex Semantic Matches between Database Schemas Robin Dhamankar, Yoonkyong Lee, AnHai Doan, Alon Halevy and Pedro Domingos ACM SIGMOD International Conference on Management of Data, 2004. Full Paper (PDF)

2003

A Practical, Decision-theoretic Approach to Multi-robot Mapping and Exploration Jonathan Ko, Benjamin Stewart, Dieter Fox, Kurt Konolige and Benson Limketkai IEEE/RSJ International Conference on Intelligent Robots and Systems, 2003. Full Paper (PDF)

A Reliable Natural Language Interface To Household Appliances Alexander Yates, Oren Etzioni and Daniel S. Weld International Conference on Intelligent User Interfaces, 2003. Full Paper (PDF)

Building large knowledge bases by mass collaboration Matt Richardson and Pedro Domingos International Conference on Knowledge Capture, 2003. Full Paper (PDF)

Learning with knowledge from multiple experts Matt Richardson and Pedro Domingos International Conference on Machine Learning, 2003. Full Paper (PDF)

Mangrove: Enticing Ordinary People onto the Semantic Web via Instant Gratification Luke McDowell, Oren Etzioni, Steven G Gribble, Alon Halevy, Hank Levy, William Pentney, Deepak Verma and Stani Vlasseva International Semantic Web Conference, 2003. Full Paper (PDF)

Mining massive relational databases Geoff Hulten, Pedro Domingos and Yeuhi Abe International Workshop on Statistical Relational Learning, 2003. Workshop Paper (PDF)

Research on statistical relational learning at the University of Washington Pedro Domingos, Yeuhi Abe, Corin Anderson, AnHai Doan, Dieter Fox, Alon Halevy, Geoff Hulten, Henry Kautz, Tessa Lau, Lin Liao, Madhavan Madhavan, Mausam, Donald J Patterson, Matt Richardson, Sumit Sanghai, Daniel S. Weld and Steve Wolfman International Workshop on Statistical Relational Learning, 2003. Workshop Paper (PDF)

Semantic Email: Adding Lightweight Data Manipulation Capabilities to the Email Habitat Oren Etzioni, Alon Halevy, Hank Levy and Luke McDowell International Workshop on the Web and Databases, 2003. Full Paper (PDF)

Towards a Theory of Natural Language Interfaces to Databases Ana-Maria Popescu, Oren Etzioni and Henry Kautz International Conference on Intelligent User Interfaces, 2003. Full Paper (PDF)

Trust management for the Semantic Web Matt Richardson, Rakesh Agrawal and Pedro Domingos International Semantic Web Conference, 2003. Full Paper (PDF)

2002

Learning from Infinite Data in Finite Time Pedro Domingos and Geoff Hulten Annual Conference on Neural Information Processing Systems, 2002. Full Paper (PDF)

Learning to Map between Ontologies on the Semantic Web AnHai Doan, Jayant Madhavan, Pedro Domingos and Alon Halevy International World Wide Web Conference, 2002. Full Paper (PDF)

Mining Complex Models from Arbitrarily Large Databases in Constant Time Geoff Hulten and Pedro Domingos Knowledge Discovery and Data Mining, 2002. Full Paper (PDF)

Mining knowledge-sharing sites for viral marketing Matt Richardson and Pedro Domingos Knowledge Discovery and Data Mining, 2002. Full Paper (PDF)

Relational Markov models and their application to adaptive Web navigation Corin Anderson, Pedro Domingos and Daniel S. Weld Knowledge Discovery and Data Mining, 2002. Full Paper (PDF)

2001

A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering Pedro Domingos and Geoff Hulten International Conference on Machine Learning, 2001. Full Paper (PDF)

Mining Time-Changing Data Streams Geoff Hulten, Pedro Domingos and Laurie Spencer Knowledge Discovery and Data Mining, 2001. Full Paper (PDF)

Mining the network value of customers Pedro Domingos and Matt Richardson Knowledge Discovery and Data Mining, 2001. Full Paper (PDF)

Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach AnHai Doan, Pedro Domingos and Alon Halevy ACM SIGMOD International Conference on Management of Data, 2001. Full Paper (PDF)

The intelligent surfer: Probabilistic combination of link and content information in PageRank Matt Richardson and Pedro Domingos Annual Conference on Neural Information Processing Systems, 2001. Full Paper (PDF)

2000

Mining high-speed data streams Geoff Hulten and Pedro Domingos Knowledge Discovery and Data Mining, 2000. Full Paper (PDF)