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Answering Questions through Understanding and Analysis (AQUA) BBN Technologies

Answering Questions through Understanding and Analysis (AQUA) BBN Technologies. Objectives. Develop Comprehensive system Use statistical language models, knowledge sources, and formal reasoning Develop proposition recognition algorithm Interpretation by Entity relationship

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Answering Questions through Understanding and Analysis (AQUA) BBN Technologies

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  1. Answering Questions through Understanding and Analysis (AQUA)BBN Technologies Objectives • Develop Comprehensive system • Use statistical language models, knowledge sources, and formal reasoning • Develop proposition recognition algorithm • Interpretation by Entity relationship • model PLAN • Apply Cross Document Entity Detection and Tracking (CEDT) algorithm to QA • Questions will be interpreted in context. • Related QA sessions of others in workgroup will be brought to user’s attention • Answers will be drawn from across documents and sources Principal Investigators:Ralph Weischedel / Scott Miller ARDA Contracting Agent: NSA Topic Area: Total System Data Dimension: Focused (Text)

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