Classification of question answering systems: A survey

被引：0
|
作者：
Sandhini, S. [1 ]
Binu, R. [1 ]
机构：
[1] Govt Engn Coll, Comp Sci & Engn Dept, Palakkad, Kerala, India
来源：
EMERGING TRENDS IN ENGINEERING, SCIENCE AND TECHNOLOGY FOR SOCIETY, ENERGY AND ENVIRONMENT | 2018年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Question Answering Systems (QAS) are a unique kind of information retrieval. In Question Answering (QA) the system retrieves the precise answer to the questions asked by the user in natural language. QA is multidisciplinary. It involves information retrieval, natural language processing, linguistics, knowledge representation, databases, software engineering, artificial intelligence and so on. This paper classifies QAS based on different techniques used in answer ranking and answer extraction. The survey also provides the main contributions, experimental results, and limitations of various approaches. Finally, we discuss our perspective on the future direction of QAS.
引用
收藏
页码：779 / 784
页数：6
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