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Recent Trends in Natural Language Question Answering Systems: A Survey
Vaibhav Mishra,  Dr. Nitesh Khilwani
The need to inquiry data content accessible in different organizations including organized and unstructured information has turned out to be progressively significant. Henceforth, Question Answering Systems (QAS) are essential to fulfill this kind of need. The QA systems are focused towards giving relevant answers in light of inquiries proposed in natural language. Question Answering system is an vital research area in IR. Research on the area of Question Answering system started in the year 1960 and at present lot of Question Answering systems have been developed. Question Answering system combines the research from different domains like Natural Language Processing, Artificial Intelligence, Information Retrieval and Information extraction.
QA is made out of three particular modules. These three core segments are: question processing, document processing, and answer extraction. Question Processing plays an important role in QAS by classifying the submitted query according to its type. Information retrieval is important for question answering, because it find the answer relevant document from the corpora. Finally, answer extraction goal is to recover the response for a question posed by the user.
In this paper we investigate various QAS. We give also statistics and analysis that can clear the way and help researchers to choose the appropriate solution to their issue. They can see the deficiency, so they can propose new systems for complex questions. They can likewise adjust or reuse QAS methods for specific research issues.
Keywords- Question Answering System, Question Classification, Natural Language Question Answer, Information Retrieval , Natural Language Processing
Unique Identification Number - IJEDR1904015Page Number(s) - 67-76Pubished in - Volume 7 | Issue 4 | October 2019DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.22730Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Vaibhav Mishra,  Dr. Nitesh Khilwani,   "Recent Trends in Natural Language Question Answering Systems: A Survey"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 4, pp.67-76, October 2019, Available at :http://www.ijedr.org/papers/IJEDR1904015.pdf