Building Watson: An Overview of the DeepQA Project

被引:649
作者
Ferrucci, David [1 ]
Brown, Eric
Chu-Carroll, Jennifer
Fan, James
Gondek, David
Kalyanpur, Aditya A.
Lally, Adam
Murdock, J. William
Nyberg, Eric [2 ]
Prager, John
Schlaefer, Nico
Welty, Chris
机构
[1] IBM TJ Watson Res Ctr, Seman Anal & Integrat Dept, Hawthorne, NY USA
[2] Carnegie Mellon Univ, Sch Comp Sci, Language Technol Inst, Pittsburgh, PA 15213 USA
关键词
D O I
10.1609/aimag.v31i3.2303
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 three years of intense research and development by a core team of about 20 researchers, 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 can be used as a foundation for combining, deploying, evaluating, and advancing a wide range of algorithmic techniques to rapidly advance the field of question answering (QA). Copyright © 2010.
引用
收藏
页码:59 / 79
页数:21
相关论文
共 23 条
[1]  
[Anonymous], 2002, Behind Deep Blue: building the computer that defeated the world chess champion
[2]  
CHUCARROLL J, 2003, HUM LANG TECHN C EDM
[3]  
Dredze M., 2008, P 25 INT C MACH LEAR
[4]  
DUPEE M, 1998, GET JEOPARDY WIN VAL
[5]  
Ferrucci D., 2004, Natural Language Engineering, V10, P327, DOI 10.1017/S1351324904003523
[6]  
Ferrucci D, 2009, RC24789 IBM
[7]  
Herbrich R, 2000, ADV NEUR IN, P115
[8]  
Hermjakob Ulf, 2000, P 6 WORLD MULT SYST
[9]   Adaptive Mixtures of Local Experts [J].
Jacobs, Robert A. ;
Jordan, Michael I. ;
Nowlan, Steven J. ;
Hinton, Geoffrey E. .
NEURAL COMPUTATION, 1991, 3 (01) :79-87
[10]  
JOACHIMS T, 2002, P 13 ACM C KNOWL DIS