A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method-Reference-Cited by-同舟云学术

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A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method

Published:2024 Issue: Volume:12 Page:70464-70479
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ahmad Amreen¹^ORCID,Ahmad Tanvir²^ORCID,Masood Sarfaraz²^ORCID,Siddiqui Mohd. Khizir³,El-Rahiem Basma Abd⁴,Plawiak Pawel⁵,Alblehai Fahad⁶

Affiliation:

1. Galgotia College of Engineering and Technology, Greater Noida, India

2. Department of Computer Engineering, Jamia Millia Islamia, Jamia Nagar, New Delhi, India

3. Department of Computer Engineering, BITS Pilani, Rajasthan, India

4. Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Shebin El-Koom, Egypt

5. Department of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology, Krakow, Poland

6. Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia

Funder

King Saud University, Riyadh, Saudi Arabia, through the Researchers

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10506498.pdf?arnumber=10506498

Reference56 articles.

1. Pattern Synthesis for Nonparametric Pattern Recognition

2. Automatic Summarization

3. Web document clustering

4. Fast generation of result snippets in web search

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