International Journal of Innovative Research in Engineering and Management
Year: 2015, Volume: 3, Issue: 4
First page : ( 29) Last page : ( 32)
Online ISSN : 2350-0557.
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Premchand
Generation of answer in QA system isone of the most challenging research areas in natural language and performing in the medical domain is more difficult. The main reason is: patient has faith in doctor’s information but may doubt on the machine. Also, accuracy of the system is restricted in natural language. The computer may find the information of a disease but not as efficient as human. In this paper, various well known question answering systems are discussed and analyzed with their benefits and limitations. Finally, in this review, a new approach is visualized to overcome the limitations of present question answering system.
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B.Tech from B.I.T Sindri, Dhanbad and pursuing M.Tech from Shree Institute of science & technology, Bhopal, India
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