Extractive Multi-Document Summarization: A Review of Progress in the Last Decade
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9312710/09536694.pdf?arnumber=9536694
Cited by 6 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. Sentence Reduction based on Automatic Document Text Summarization and Crossbred Framework;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19
2. Grapharizer: A Graph-Based Technique for Extractive Multi-Document Summarization;Electronics;2023-04-17
3. An Explorative Study on Extractive Text Summarization through k-means, LSA, and TextRank;2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET);2023-03-29
4. Topic Modeling Based on OWA Aggregation to Improve the Semantic Focusing on Relevant Information Extraction Problems;Studies in Big Data;2023
5. Single and Multi-Documents Text Summarization Technologies for Natural Language Processing: a Systematic Review on Method and Dataset;2022 IEEE Creative Communication and Innovative Technology (ICCIT);2022-11-22
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