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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 • Interpret documents and questions as entities and relations, not merely as bags of words • Apply Cross Document Entity Detection and Tracking (CEDT) algorithm to QA • Answers will be drawn from across documents and sources Principal Investigators:Ralph Weischedel / Scott Miller Topic Area: Total System Data Dimension: Focused (Text)

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