Summarization of Research Publications Using Automatic Extraction

  • Nikhil Alampalli RamuEmail author
  • Mohana Sai BandarupalliEmail author
  • Manoj Sri Surya NekkantiEmail author
  • Gowtham Ramesh
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 38)


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.


Summarization Keywords Phrases Automatic extraction Keyphrases extraction Tagging Information retrieval Pattern identification 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer Science and Engineering, Amrita School of EngineeringAmrita Vishwa VidyapeethamCoimbatoreIndia

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