A Review of Question Answering System in Online Health Guide in Natural Language
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.
Medical domain, Natural language, QA
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[Premchand (2015), A Review of Question Answering System in Online Health Guide in Natural Language, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-3, Issue-4, Page No-29-32], (ISSN 2347 - 5552). www.ijircst.org
B.Tech from B.I.T Sindri, Dhanbad and pursuing M.Tech from Shree Institute of science & technology, Bhopal, India