DESCRIPTIVE OPEN DOMAIN QUESTION ANSWERING SYSTEM USING DEEP LEARNING

摘要

The data in World Wide Web is increasing day by day. Whenever we have query we opt a search engine which retrieves relevant documents from the web, user has to surf through the URL to collect information. The process is time consuming because of the huge abundance of data in web and users need their answers in a single click. Question Answering Engines are the research area which givesolution to the above problem. Researchers find scope in different areas of QAS engines which can be considered as an ultimate Artificial Intelligence. Open Domain Question Answering Engines using Deep Learning is a system which can be used for education purpose, which delivers descriptive as well as factoid mode of answering queries from the user. The system uses advanced Machine Learning algorithm such as deep neural network models to extract passages from relevant documents contained in the web, and also merges different passages from different documents to a single document and delivers as a simple note to the user. The system can also be used in education field for delivering answers for non-factoid questions.