A Combined Extractive With Abstractive Model for Summarization

Author:

Liu Wenfeng,Gao Yaling,Li Jinming,Yang Yuzhen

Funder

Shandong Province Social Science Popularization and Application Research Project

The Social Science Planning Office of Heze City

Shandong Province Social Science Planning Project

Heze University Doctoral Research and Development Fund

Shandong Province Educational Science Planning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 13 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. Advanced Generative AI Methods for Academic Text Summarization;2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI);2024-04-13

2. Automatic Text Summarization Method Based on Improved TextRank Algorithm and K-Means Clustering;Knowledge-Based Systems;2024-03

3. TF-IDF Vectorization and Clustering for Extractive Text Summarization;Journal of Information Technology and Digital World;2024-03

4. Advances in Natural Language Processing and Deep Learning for Document Summarization;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

5. Abstractive Text Summarization Models Using Machine Learning Algorithms;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

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