Probabilistic models for ranking and information extraction
published: Oct. 9, 2008, recorded: September 2008, views: 3181
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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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