Summarization of Research Paper using NLP

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@article{1704569,
      author = {Shivendu Shukre, Samarsinh Salunkhe, Pranav Rathi, Vedant Shinde, Prof. M. V. Mane},
      title = {Summarization of Research Paper using NLP},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {12},
      pages = {89-95},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704569.pdf},
      abstract = {Keeping up with the most recent developments in their respective domains is extremely difficult for researchers and practitioners in the age of information overload, where many research articles are released every day. It is becoming more and more challenging to sift through several articles to locate pertinent and useful information due to the sheer volume of scientific publications. As a result, there is an increasing need for automated methods for summarizing research publications so that users may quickly understand the important ideas without using excessive time and effort. This research article's goal is to present a thorough analysis of the current approaches and tools used for NLP-based research paper summarizing. We want to investigate the various approaches, from conventional extractive procedures to more sophisticated abstractive ones, and talk about their advantages, disadvantages, and prospective uses. We want to shed light on the current trends and problems in this sector by evaluating and contrasting the state-of-the-art approaches, offering scholars and practitioners an invaluable resource to direct future research and development initiatives. In summary, the goal of this study is to present a thorough review of the most cutting-edge approaches of employing NLP to summarize research papers. We aim to create a deeper awareness of the difficulties and opportunities that lie ahead by investigating the numerous methods, algorithms, and evaluation measures used in this area. Through this study, we hope to spur new research and innovation in the field of research paper summary, allowing academics and industry professionals to stay up to date on advancements and utilize the body of scientific literature more effectively.},
      keywords = {Text Summarization, Natural Language Processing, Deep Learning, Abstractive Text Summarization, ROUGE},
      month = {June},
  }