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Solomon: A Next-Generation QA System

Unclassified//FOUO. Solomon: A Next-Generation QA System. Problem 1 Current QA systems are applicable only to early ‘Information Gathering’ phases of the IA process. Answering substantive questions from later IA phases requires semantic understanding of the knowledge at hand, i.e. reasoning.

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Solomon: A Next-Generation QA System

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  1. Unclassified//FOUO Solomon:A Next-Generation QA System • Problem 1 • Current QA systems are applicable only to early ‘Information Gathering’ phases of the IA process. • Answering substantive questions from later IA phases requires semantic understanding of the knowledge at hand, i.e. reasoning. • The critical nature if IA compels answers to be accompanied by justifications – ones that can be certified as normatively correct. • Problem 2 • Current QA systems lack the capacity to answer questions about imaginary or hypothetical information and scenarios. • Analysts work and reason with incomplete information. It is imperative that QA systems be capable of suppositional reasoning and questions answering in order to help focus the analysis. • Problem 3 • QA systems are not integrated with other IA assistance tools, those focused on latter phases of the IA process. • Integration provides the safeguard that answers are applied soundly during later analysis. • Product • A proof-of-concept QA system, Solomon, with the following five novel capabilities (and associated demonstrations thereof). • Capabilities • Knowledge Acquisition via Reading • Human – Computer Collaboration via Conversational Discourse. • Discourse-driven Natural Suppositional Reasoning • Generation of Defensible Answers, Rational Justifications, and Intuitive Explanations • Integrated Reasoning over Visual and Textual Knowledge • SOW milestones consist of a sequence of five demonstrations of Solomon’s novel capabilities and a sixth capstone end-to-end demonstration of the entire quintet. • January 1, 2007 (completed) • Demonstration of Knowledge Acquisition via Reading • March 1, 2007 (on schedule) • Demonstration of Knowledge Acquisition from Visual Data • May 1, 2007 • Demonstration of Natural Language Generation of Justifications and Explanations • July 15, 2007 • Demonstration of Interactive Conversation (initial) • September 2, 2007 • Demonstration of Interactive Conversation (final) • October 31, 2007 • Capstone End-to-End Demonstration • Payoff • The intelligence analyst has an integrated analysis assistant that marries the ease-of-use of dialog-based QA with power and certified correctness of automated reasoning. • The interactive QA/IA model behind Solomon helps the analyst: • Avoid Bias • Dodge deceptions • Handle Novelty • Produce Sound and Justified Conclusions • Endorsements • Related R&D work in the RAIR lab is funded by AFOSR, DARPA and other agencies. Unclassified//FOUO

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