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DESCRIPTION:Click for Latest Location Information: http://semtechbizuk2012.semanticweb.com/sessionPop.cfm?confid=67&proposalid=5019\nThere are many examples of batch processed NLP to solve extraction and annotation problems, but what if you need to be able to handle new, unseen information in real-time? What if you need to ensure the results are accurate enough that they can immediately be used as part of an ecommerce transaction? Whisk allows users to purchase the ingredients for any recipe they find on the internet. The combination of a boundless amount of new source data and the necessity to make that data transactable leads us to an interesting mix of techniques, processes and technologies. Co-founder Craig Edmunds will guide you through the Whisk technology stack and how it can be applied to similar problems.
DTSTART:20120919T114500
SUMMARY:Natural language processing in a real time environment
DTEND:20120919T121459
LOCATION: See Description
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