Extracting Core Contents from a Research Article  by Generating a Sentence Graph

Keerthi Krishnan; K. S. Easwarakumar

Extracting Core Contents from a Research Article by Generating a Sentence Graph

Authors: Keerthi Krishnan, K. S. Easwarakumar

Unique Paper ID: 154187
Volume: 8
Issue: 7
PageNo: 71-77

Keywords: Text Summarization; Content Extraction;Extractive Summary; Information retrieval

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.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 7
PageNo: 71-77

Extracting Core Contents from a Research Article by Generating a Sentence Graph

Available:https://ijirt.org/Article?manuscript=154187

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Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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