The past two decades have witnessed the significant proliferation of technologies, which has laid a strong foundation for the scientific research in different fields. However, the changes across every field have also created new challenges related to the management of large chunks of data present in the process of converting, storing, searching and providing the user with relevant data. Extracting and transforming the data from one form to another remains as an important task in the current era. It becomes challenging when we focus on the particular extraction instances. Finding the proper research paper from the huge number of papers that includes navigation through the data is not an easy task. It includes huge amount of time search to provide the user with the most appropriate scientific paper of search. This paper concentrates on the extraction of problem statement from one research paper and will be further used to find the related papers. The use of phrases makes the search to considerably reduce the number of search across the Internet and at the same time, it yields a high performance.
CITATION STYLE
Alampalli Ramu, N., Bandarupalli, M. S., Nekkanti, M. S. S., & Ramesh, G. (2020). Summarization of Research Publications Using Automatic Extraction. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 38, pp. 1–10). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-34080-3_1
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