Extracting Core Contents from a Research Article by Generating a Sentence Graph
Author(s):
Keerthi Krishnan, K. S. Easwarakumar
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.
Article Details
Unique Paper ID: 154187

Publication Volume & Issue: Volume 8, Issue 7

Page(s): 71 - 77
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