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A literature survey on question answering system in natural language processing
Author(s) -
A. Clementeena*,
P. Sripriya
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.33.14209
Subject(s) - question answering , sort , computer science , framing (construction) , natural language , natural language processing , artificial intelligence , information retrieval , structural engineering , engineering
In order to respond to usual free form of questions that is contained in a large collection of informative texts or information. For this to hap-pen one must understand what type of questions are being imposed and thus to also know a few knowledge about the process. The con-straints will include the semantic and syntactic knowledge and framing that sort of question with possible correct answers. Thus this paper gives you a clear vision of how its being worked on question answering and thus it presents a machine learning approach. Also ways a important way of giving answers to closed domain in a different data set of know. 

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