Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{154187,
        author = {Keerthi Krishnan and K. S. Easwarakumar},
        title = {Extracting Core Contents from a Research Article  by Generating a Sentence Graph},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {7},
        pages = {71-77},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154187},
        abstract = {There is a tremendous increase in the number of scientific articles available online. Hence the number of articles displayed as a result of a search query performed based on a specific research topic is also increasing. Naive researchers need to spend a lot of time reading these articles and understand the idea mentioned in each article. Also, they face difficulty in choosing appropriate articles for performing their literature search efficiently. Focusing on these concerns, an extractive summary of a research article is generated using the Core Content Extraction System proposed in this paper. Herein, the most relevant sentences from a research article are extracted.  From these extracted sentences, a summary is generated which will benefit researchers by enabling them to decide whether the respective research article is useful for them or not. Experimental results show that the proposed method attain good results when compared to some existing text summarization systems.},
        keywords = {Text Summarization; Content Extraction;Extractive Summary; Information retrieval},
        month = {},
        }