Contextual Word Embedding based Clustering for Extractive Summarization-Reference-Cited by-同舟云学术

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Contextual Word Embedding based Clustering for Extractive Summarization

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Frontiers of Information Technology (FIT)
language:
Short-container-title:

Author:

Faisal Shah¹,Khan Atif²,Yousaf Suhail³,Umair Muhammad⁴

Affiliation:

1. University of Engineering and Technology,Department of Computer Science & IT,Peshawar,Pakistan

2. Islamia College Peshawar,Department of Computer Science,Peshwar,Pakistan

3. University of Engineering and Technology Peshawar,National Center of Artificial Intelligence,Pakistan

4. City University of Science and Information Technology,Department of Computer Science,Peshawar,Pakistan,25000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10042976/10043030/10043071.pdf?arnumber=10043071

Reference29 articles.

1. Improve Bayesian Network to Generating Vietnamese Sentence Reduction

2. An approach to summarizing Bengali news documents

3. Effective deep learning approaches for summarization of legal texts;anand;Journal of King Saud University-Computer and Information Sciences,2019

4. Automatic text summarization with neural networks

5. Sentence Fusion for Multidocument News Summarization

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