A Review of Question Answering System in Online Health Guide in Natural Language
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2015, Vol 3, Issue 4
Abstract
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.
Authors and Affiliations
Premchand
Keywords
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