Structure and Performance Analysis of Open Domain QA System
DU Yong-Ping1, HUANG Xuan-Jing2
1.College of Computer Sciences, Beijing University of Technology, Beijing 100124 2.Department of Computer Science and Engineering, Fudan University, Shanghai 200433
Abstract Open domain question answering (QA) has drawn much attention from the natural language processing communities. A pattern based question answering system is introduced, and the deep performance analysis and the evaluation of the QA system are presented. The impact of parameter tuning and training set size on system performance is discussed as well. Meanwhile, the t-test results denote the significance of the performance improvement by different factors. Natural language processing tools are used in the QA system, such as the syntax parser and the named entity recognition tool. Analysis results indicate that these tools play an important role in the QA system.
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2009, Vol. 22 
