Research: Turing Center, Prof. Etzioni, Prof. Domingos
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Computer Science & Engineering College of Engineering University of Washington
 

Research Links and Information

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Prof. Etzioni Research Support Acknowledgements

     Sponsor Grant/Contract Number Project
     AFRL contract FA8750-09-C-0179 Machine Reading (flow-through sponsor: BBN Technologies)
     NSF grant IIS-0803481 Reading the Web: Utilizing Markov Logic in Open Information Extraction
     ONR grant N00014-08-1-0431 Open Information Extraction
     Turing Center Gift
     Google Gift
     Washington Research Foundation Gift

Prof. Domingos Research Support Acknowledgements

     Sponsor Grant/Contract Number Project
     AFRL contract FA8750-09-C-0181 Machine Reading (flow-through sponsor: SRI International)
     ARO grant W911NF-08-1-0242 MURI: A Unified Approach to Abductive Inference
     NSF grant IIS-0803481 Reading the Web: Utilizing Markov Logic in Open Information Extraction*
     ONR grant N00014-08-1-0670 Algorithms for Collective Knowledge Acquisition
     DARPA contract HR0011-07-C-0060 Bootstrapped Learning (a.k.a. MABLE)
     NSF grant IIS-0534881 Learning from Interdependent Examples
     DARPA contract HR0011-06-C-0025 Ontology Evolution Seedling
     DARPA contract FA8750-05-2-0283 Transfer Learning in Integrated Cognitive Systems

     * Co-PI with Etzioni, Mausam, and Soderland.

Current Research Projects

Panlingual Lexical Translation: Cross-lingual image search system
KnowItAll: Autonomously extracting infromation at Web scale
Opine: Mining product reviews
Semantically Tractable Questions: Natural language interfaces to databases
On ramps to the Semantic Web: An evolutionary approach to the Semantic Web
A Unified Approach to Abductive Inference
Statistical Relational Learning: Learning from noisy data in rich representations
Collective Knowledge Bases: Merging knowledge from a multitude of sources
Large-Scale Machine Learning: Mining massive data streams
Markov Logic Networks

Computer Science & Engineering