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Scott Wen-tau Yih is a Researcher at Microsoft Research. His research interests include machine learning, natural language processing and information retrieval. Yih received a Ph.D. in computer science at the University of Illinois at Urbana-Champaign in 2005. His work on joint inference using integer linear programming (ILP) [Roth & Yih, 2004] helped the UIUC team win the CoNLL-05 shared task on semantic role labeling, and the approach has been widely adopted in the NLP community. After joining MSR in 2005, he has worked on email spam filtering, keyword extraction and search relevance. His recent work focuses on continuous semantic representations using neural networks and matrix/tensor decomposition methods, with applications in lexical semantics and question answering.