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DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7695\nVoice-driven Intelligent Personal Assistants (IPAs) such as Siri have become much more prevalent recently. We discuss 22otters, a new targeted, customizable IPA for guiding patients through complex medical procedures, where it has been challenging for Patients to adhere to necessary protocols. \nWe will discuss specific aspects from the Question Answering (QA) component of 22otters such as:\nHow specific requirements led to design decisions that differ from more general QA systems\nA multi-engine speech recognition strategy\nLess focus on automatic knowledge extraction, and more on enabling rapid development of domain and Provider-specific content, and ensuring higher precision and recall\nAdding meta-information such as time relative to procedure, which is critical for providing the correct answer \nVarious ontologies used in different contexts. The tree-based structure of many ontologies was not sufficient; this was augmented with a feature-based approach\nFinally we will discuss experiences from deployment of the 22otters IPA in the field.
DTSTART:20150819T160000
SUMMARY:22otters: A Targeted, Customizable, Intelligent Personal Assistant for Patient Care
DTEND:20150819T162959
LOCATION: See Description
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