A Supervised Approach For Extractive Text Summarization Using Minimal Robust Features-Reference-Cited by-同舟云学术

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A Supervised Approach For Extractive Text Summarization Using Minimal Robust Features

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Intelligent Computing and Control Systems (ICCS)
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Author:

Krishnan Devi,Bharathy Preethi,Venugopalan Anagha Manju

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9046169/9065289/09065651.pdf?arnumber=9065651

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Abstractive Text Summarization with Proximal Policy Optimization;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

2. PySpark-Powered ML Models for Accurate Spam Detection in Messages;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24

3. Synopsis Creation for Research Paper using Text Summarization Models;2023 4th International Conference for Emerging Technology (INCET);2023-05-26

4. Analysis of Extractive Text Summarisation Techniques for Multilingual Texts;2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2023-05-25

5. Text Summarization using Transformer Model;2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS);2022-11-29

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