Title of article :
A survey on question answering systems with classification
Author/Authors :
Mishra, Amit National Institute Of Technology Kurukshetra, India , Jain, Sanjay Kumar National Institute Of Technology Kurukshetra, India
From page :
345
To page :
361
Abstract :
Question answering systems (QASs) generate answers of questions asked in natural languages. Early QASs were developed for restricted domains and have limited capabilities. Current QASs focus on types of questions generally asked by users, characteristics of data sources consulted, and forms of correct answers generated. Research in the area of QASs began in 1960s and since then, a large number of QASs have been developed. To identify the future scope of research in this area, the need of a comprehensive survey on QASs arises naturally. This paper surveys QASs and classifies them based on different criteria. We identify the current status of the research in the each category of QASs, and suggest future scope of the research
Keywords :
Question answering system , Information retrieval , Natural language processing , Natural language understanding , Search engine
Journal title :
Journal Of King Saud University - Computer an‎d Information Sciences
Journal title :
Journal Of King Saud University - Computer an‎d Information Sciences
Record number :
2713707
Link To Document :
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