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Question Answering from Errorful Multimedia Streams Carnegie Mellon University, School of Computer Science. OBJECTIVES Develop a system that provides analysts with answers from multimedia data streams based on errorfully extracted information. PLAN Determining the answer information
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Question Answering from Errorful Multimedia StreamsCarnegie Mellon University, School of Computer Science • OBJECTIVES • Develop a system that provides analysts with answers from multimedia data streams based on errorfully extracted information. • PLAN • Determining the answer information • Resolving co-references • Discovering semantic relations • Learning information flow • Hardening uncertain information • Organizing and presenting the answer result • Text summaries • Augmenting contextual material • Maps, charts and images to allow follow-up questions • Explicit representation of uncertainty Proposed interface showing a summarized multimedia answer extracted from broadcast news, addressing the origins of terrorists in the American embassy bombings in East Africa. Principal Investigator: Howard WactlarCo-PIs: Mike Christel, Alex Hauptmann, Jianbo Shi Topic Area: Determining the Answer Formulating and Presenting the Answer Data Dimension: Multiple Media Data Dimension Structured an Unstructured Data Dimension