Building Watson: An Overview of the DeepQA Project

Author:

Ferrucci David,Brown Eric,Chu-Carroll Jennifer,Fan James,Gondek David,Kalyanpur Aditya A.,Lally Adam,Murdock J. William,Nyberg Eric,Prager John,Schlaefer Nico,Welty Chris

Abstract

IBM Research undertook a challenge to build a computer system that could compete at the human champion level in real time on the American TV Quiz show, Jeopardy! The extent of the challenge includes fielding a real-time automatic contestant on the show, not merely a laboratory exercise. The Jeopardy! Challenge helped us address requirements that led to the design of the DeepQA architecture and the implementation of Watson. After 3 years of intense research and development by a core team of about 20 researches, Watson is performing at human expert-levels in terms of precision, confidence and speed at the Jeopardy! Quiz show. Our results strongly suggest that DeepQA is an effective and extensible architecture that may be used as a foundation for combining, deploying, evaluating and advancing a wide range of algorithmic techniques to rapidly advance the field of QA.

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Subject

Artificial Intelligence

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