Research Paper Screening Tool: Automating Conference Paper Evaluation and Enhancement

Abstract

In this era of knowledge, academic researchers are growing every day, this also spikes a growth in published literature on the new innovations and findings. This leads to a problem where the reviewers at the conferences must go through many research papers to determine whether they are suitable for the conference or not. This problem has caused the necessity of an effective paper screening tool for optimizing the literature review process. This research presents a development of a new Paper Screening Tool (PST) aimed at increasing the efficiency and accuracy of the literature screening phase. Leveraging the NPL processing techniques this PST and reduces a lot of manual efforts. Through comprehensive evaluation using a diverse dataset, the tools provide high precision. The PST also has user friendly interfaces and customizable report generation which empowers the researchers screening process to their specific needs. This paper contributes to literature by solving the challenge of information overloading during the literature review.

Country : Sri Lanka

1 Hansani Upeksha Rathnasiri2 L.A. Ishara Lakshani3 Nipuni Nilakna Amarasinghe4 Oshan Asinda Dissanayake5 Dr. Dasuni Nawinna6 Ms. Buddima Attanayaka

  1. Department of Computer System Engineering, Faculty of Computing, SriLanka Institute of Information Technology, Malabe, Sri Lanka
  2. Department of Computer System Engineering, Faculty of Computing, SriLanka Institute of Information Technology, Malabe, Sri Lanka
  3. Department of Computer System Engineering, Faculty of Computing, SriLanka Institute of Information Technology, Malabe, Sri Lanka
  4. Department of Computer System Engineering, Faculty of Computing, SriLanka Institute of Information Technology, Malabe, Sri Lanka
  5. Department of Computer System Engineering, Faculty of Computing, SriLanka Institute of Information Technology, Malabe, Sri Lanka
  6. Department of Computer System Engineering, Faculty of Computing, SriLanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 242-248

doi.org/10.47001/IRJIET/2023.710031

References

  1. J.smith, “Efficient Paper Selection in Acadamin Conference,” Conference Evolution Review, vol. 48, pp. 250-265, 2021.
  2. P. a. L.brown, “Challenges in Manual Paper review,” in Proceeding of the International Conferene on Acadamic Efficiency, New York,USA, Sep, 2020.
  3. R. a. M.Adams, “Cutting-Edge Research Paper Screening Tools,” Journal of Research Innovations, vol. 62, pp. 890-905, Jul.2022.
  4. E. a. B.Davis, “Transformative Solution in Research Paper Review,” Conference Transformation Workshop, vol. 55, pp. 1120-1135, Sep 2021.
  5. L. a. M.White, “Paper Matching Component in Research Tools,” Journal of NLP Applications, vol. 78, pp. 1340-1355, Nov 2022.
  6. Q. a. A.Adams, “Deep Learning Models for Accurate Content Understanding,” Proceedings of the International Conference on Deep Learning, Jul.2023.
  7. J. a. B.Martinez, “Streamlined Research Papers Screening Process,” Journal of Efficient Review , vol. 33, pp. 480-495, Apr 2020.
  8. R. Martin, “NLP and LSTM Network Integration,” Conference AI and Scholarly Pursuits, vol. 71, pp. 760-775, Jun 2022.
  9. E. a. L.Davis, “Addressing Challenges in Review Process,” Lournal of Acadamic Excellence, vol. 84, pp. 1010-1025, Aug 2021.
  10. L. a. M.White, “Future of Acadamic Conferences with Efficient Screening,” in Proceeding of the international Conference on Technology and Academia, Sydney, Australia, Dec 2022.
  11. P. a. L.Brown, “Automated Paper Layout Assesment,” in Proceeding of the International Conference on Computer Vision, Vancouver, Canada, Sep 2022.
  12. R. Martin and M. Adams, “Enhancing Research Paper Formatting,” Journal of Scholarly Excellence, vol. 75, pp. 950-965, Aug. 2023.
  13. E. C. a. B. Davis, “Computer Vision in Text Analysis,” in Proceedings of the International Workshop on Computational Linguistics, London, UK, Nov. 2021.
  14. L. Johnson, “Comparative Analysis of Layout Checker,” Conference on Automation and Review, vol. 62, pp. 780-795, Jun. 2022.
  15. J. S. a. B. Martinez, “Essential Tools for Conference Management,” Conference Management Essentials, vol. 30, pp. 320-335, Mar. 2023.
  16. R. Martin, “Innovative Solutions in Research Paper Review,” Journal of Research Innovation, vol. 83, pp. 1300-1315, Nov. 2022.
  17. C. M. a. D. Brown, “Reference Checker Component in Research Paper Screening,,” Journal of Scholarly Technology, vol. 47, pp. 300-315, Mar. 2022.
  18. R. A. a. L. Davis, “Guarding Against Faulty Citations,” Journal of Academic Rigor, vol. 65, pp. 950-965, Aug. 2021.
  19. E. C. a. B. Davis, “Named Entity Recognition with Transformer Models,” in Proceedings of the International Workshop on Natural Language Processing, New York, NY, USA, Nov. 2022.
  20. J. S. a. P. Johnson, “Reference Style Selection in System Interaction,” Conference on Human-Computer Interaction, vol. 55, pp. 700-715, Jun. 2022.
  21. L. Johnson, “Transformer Models for Research Paper Analysis,” Journal of Computational Linguistics, vol. 40, pp. 800-815, Jul. 2023.
  22. Q. Adams, “Implications of Advanced Reference Checking,” Journal of Academic Innovation, vol. 78, pp. 1200-1215, Nov. 2022.
  23. E. S. a. A. Johnson, “Approaches to Text Summarization,” IEEE Transactions on Computational Linguistics, vol. 45, pp. 150-165, Feb. 2022.
  24. B. D. a. C. Martinez, “Key Sentence Extraction,” in Proceedings of the International Conference on Natural Language Processing, Boston, MA, USA, Jun. 2021.
  25. R. A. a. L. Clark, “Abstraction vs. Extraction: Summarization Approaches,” Journal of Semantic Understanding, vol. 30, pp. 800-815, Aug. 2020.
  26. E. J. a. P. Brown, “Summarization through Sentence Ranking,” IEEE Transactions on Information Processing, vol. 68, pp. 700-715, Jul. 2023.
  27. F. M. a. M. Marcus, “Structural Relationships in Summarization,” Computational Linguistics Journal, vol. 55, pp. 600-615, Jun. 2019.
  28. G. M. a. H. Clark, “Feature-Based Algorithms for Summarization,” in Proceedings of the International Workshop on Information Retrieval, New York, NY, USA, Nov. 2022.
  29. H. S. a. L. Davis, “Unsupervised Training for Summarization,” IEEE Transactions on Artificial Intelligence, vol. 52, pp. 400-415, Apr. 2021.
  30. I.B. a. J. Martinez, “Sentence Descent Summarization,” Journal of Information Processing, vol. 75, pp. 1100-1115, Nov. 2022.