Extracting Semantically Related Queries by Microsoft Research Form

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each year microsoft research helps hundreds of influential speakers from around the world including leading scientists renowned experts in technology book authors and leading academics and makes videos of these lectures freely available hi it's my pleasure to introduce Daisy bank from University of California Berkeley her thesis is on probabilistic databases and how you manage them in a relational database and she's going to be telling us more about it forward you thanks everyone for coming today I'm going to talk about extracting and querying problem probabilistic information in bass door in the past few years the number of applications that needs to deal with large amounts of data has grown remarkably the data on the line these applications are often uncertain as is the analysis which usually involve probabilistic inference and modeling one such application is information extraction so the amount of text data in the world is significant and is growing at a faster speed both in the en