PITTSBURGH Feb. 11, 2011 Carnegie Mellon University Watson
Watson Watson Ken Jennings Brad Rutter Feb. 14-16
Carnegie Mellon David Ferrucci
Eric Nyberg Carnegie Mellon
"With OAQA, researchers no longer have to reinvent the wheel every time they develop a new QA system," Nyberg said. QA systems are complex, requiring software components for deciphering natural language, for searching through text documents and for formulating and evaluating potential answers. "In the past, it’s been all but impossible to determine the individual performance of these software components. And it’s been difficult for researchers to build on the success of others by simply plugging in the best available component into their own system. OAQA changes all of that," he said.
Massachusetts Institute of Technology University of Texas at Austin University of Southern California Rensselaer Polytechnic Institute SUNY Albany University of Massachusetts Amherst http://mu.lti.cs.cmu.edu/trac/oaqa
Nico Schlaefer Hideki Shima Watson Watson Carnegie Mellon Watson http://www.youtube.com/watch?v=ls2IgNiOftA
Jeopardy! questions are just one type of QA task. In contrast to general keyword search engines such as Google or Bing, QA systems are designed to provide useful answers to specific questions posed by people using their everyday language. Jeopardy! probes general knowledge and places a premium on speed, but other systems can be configured to provide information about a specific range of products or to provide deep answers to questions on highly technical or legally complex subjects.
Carnegie Mellon University of Texas at Austin University of Southern California University of Utah
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