Natural Language Query Based Question Answering System
Soumya P. Panda1, Vikash K. Pandit2, Rohit Kumar3, Sudhanshu Chaturvedi4, Akash Das5
1Soumya P. Panda*, Department of CSE, Silicon Institute of Technology, Bhubaneswar, India.
2Vikash K. Pandit, Department of CSE, Silicon Institute of Technology, Bhubaneswar, India.
3Rohit Kumar, Department of CSE, Silicon Institute of Technology, Bhubaneswar, India.
4Sudhanshu Chaturvedi, Department of CSE, Silicon Institute of Technology, Bhubaneswar, India.
5Akash Das, Department of CSE, Silicon Institute of Technology, Bhubaneswar, India.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 2977-2981 | Volume-9 Issue-3, February 2020. | Retrieval Number: B3522129219/2020©BEIESP | DOI: 10.35940/ijeat.B3522.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Development of natural language query based automatic question answering system is in huge demand these days and is a rapidly growing field. It is considered to be the most powerful application for answering different user queries not only on limited domains but also in multi domain environments. In this work, a natural language query based intelligible question answering system is presented that extracts relevant answers from the documents and present the answer in a pre-defined format to the user. A comparative study of the presented model with the traditional techniques is also presented.
Keywords: Question Answering System, Information Extraction, Natural Language Processing, Unstructured documents.