Probabilistic models for ranking and information extraction

author: Ed Snelson, Microsoft Research, Cambridge, Microsoft Research
published: Oct. 9, 2008,   recorded: September 2008,   views: 179

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Description

I will summarize some current approaches to information extraction, which aims to obtain structured information from unstructured text sources such as the web. I will then discuss whether Bayesian modelling may be useful in this area and describe a first attempt at extracting class-attributes from web search query logs. If time remains I will move on to discuss various models for probabilistic ranking, and where possible appropriate Bayesian inference techniques.

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Download slides icon Download slides: bark08_snelson_pmfraie_01.ppt (1.1┬áMB)


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