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@article{159526,
        author = {Bhavesh Satpute and Bhushan Sawant and Sushant Yelurkar and Omkar Dighe and Rashmi Jolhe},
        title = {SMART INFORMATION RETRIEVAL - QUESTION ANSWERING AND SUMMARY GENERATION USING BERT},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {12},
        pages = {154-160},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159526},
        abstract = {Over the years, we are studying web pages, technical papers, research papers, etc. The traditional method of retrieving a piece of information from a large collection of data or information was manual searching and it was taking huge time. But in today’s fast world, we used this information retrieval concept to find data in seconds. So, it becomes a fast and less time-consuming method for retrieving information. Even though its retrieving speed has increased but the quality of information is less. So, to overcome this we introduced Smart Information Retrieval where the user will get the relevant information on the basis of the user query, and also the user will get the summary on the basis of the Abstract, we classify this abstract in labels like Background, Methodology, Objective, Result, Conclusion. The accuracy of the predicted answer based on the user query is more the 70% and the relevancy of the generating summary or classifying the Abstract is 87%. This ability to predict answers and generate a summary or classify the Abstract from the given input makes this information retrieval system different from others.},
        keywords = {Fast information retrieval, Relevant Information, Real-time data, Chrome Extension, Current webpage, PDF, Search on a user query.},
        month = {},
        }