Survey of Scientific Document Summarization Techniques

Authors

  • Sheena Kurian K Cochin University of Science and Technology, Kerala, India
  • Sheena Mathew Cochin University of Science and Technology, Kerala, India

DOI:

https://doi.org/10.7494/csci.2020.21.2.3356

Keywords:

document summarization, abstractive summarization, extractive summarization

Abstract

The number of scientic or research papers published every year is growing at an exponential rate, which has led to an intensive research in scientic document summarization. The different methods commonly used in automatic text summarization are discussed in this paper with their pros and cons. Commonly used evaluation techniques and datasets in this field are also discussed. Rouge and Pyramid scores of the different methods are tabulated for easy comparison of the results.

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Author Biography

  • Sheena Kurian K, Cochin University of Science and Technology, Kerala, India
    School of Engineering, Cochin University of Science and Technology, Kerala

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Published

2020-04-24

Issue

Section

Articles

How to Cite

Survey of Scientific Document Summarization Techniques. (2020). Computer Science, 21(2). https://doi.org/10.7494/csci.2020.21.2.3356