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Future of QA in the Business Environment. Yael Ravin ravin@us.ibm.com T. J. Watson Research Center, IBM. Current status. QA markets itself Natural interface Succinct Easy to assess success But this can backfire difference b/w QA and full NLP understanding (ellipsis, dialog context)
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Future of QA in the Business Environment Yael Ravin ravin@us.ibm.com T. J. Watson Research Center, IBM
Current status • QA markets itself • Natural interface • Succinct • Easy to assess success • But this can backfire • difference b/w QA and full NLP understanding (ellipsis, dialog context) • continuum from single facts to judgements
Market for QA: Search • For employees in the company • increase productivity • "What is the meal limit for Toulouse?" • training • "When should I open the emergency door?" • support innovation • "What new sedan features were introduced in the last 6 months?"
Market for QA: Search (continued) • For consumers • online shopping • "Do you sell mice with no cords?" • online support • "How do I attach a printer to my ThinkPad 570?" • Between companies • match making • "Who does PR for small theater productions?"
Integrate QA within other products • Work within different business domains and user needs: • shopping, expertise locator, business intelligence, ... • Integrate with other functionalities • a generic search engine • a dialog system • Operate with multiple sources of info: • databases, text, presentations, business rules
Issues for QA in business • Develop case scenarios with partners • Prototype QA for applications and learn what is useful • Develop measures: • performance - simultaneous users • what is good enough for customers to use • cost of customization • one time and on-going • linguists vs.domain experts