Automatic Related Work Section in Scientific Article: Research Trends and Future Directions

Army Justitia, Hei Chia Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Related work plays an important role in the scientific article to track the history of topic evolution and demonstrate the improvement of the proposed method. Writing related work tasks could be arduous for young researchers and scholars. Some studies have attempted to design systems to ease this work besides improving the quality of related work produced. Initially, the research focused on extractive approaches by exploiting the heuristic method, machine learning, or graph-based methods. Recently, deep learning and its variants have become more popular because they can handle abstractive approaches. We propose five research questions that direct discussion and analysis of research in related work summarization. We look for answers to this research question in scientific articles on ScienceDirect, Web of Science, or the Google Scholar Database. This research presents a widespread survey about the trends in related work tasks: related work structure, important aspects, scientific corpora standards, prior proposed methods, baseline systems comparison, evaluation metrics, and challenges in the future. The results of this study provide an overview of research trends in related work summarization, as well as describe research gaps and future research that can still be developed.

Original languageEnglish
Title of host publication2022 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationAdvanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages108-114
Number of pages7
ISBN (Electronic)9781665460811
DOIs
Publication statusPublished - 2022
Event23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022 - Virtual, Surabaya, Indonesia
Duration: 20 Jul 202221 Jul 2022

Publication series

Name2022 International Seminar on Intelligent Technology and Its Applications: Advanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding

Conference

Conference23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period20/07/2221/07/22

Keywords

  • automatic related work
  • deep learning method
  • scientific article
  • text summarization

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