Unsupervised Graph-Based Tibetan Multi-Document Summarization

Author:

Yan Xiaodong,Wang Yiqin,Song Wei,Zhao Xiaobing,Run A.,Yanxing Yang

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference26 articles.

1. A semantic supervision method for abstractive summarization;Hu;Computers Materials & Continua,2021

2. Automatic text summarization using genetic algorithm and repetitive patterns;Heidary;Computers Materials & Continua,2021

3. C. Ma, W. E. Zhang, M. Guo, H. Wang and Q. Z. Sheng, “Multi-document summarization via deep learning techniques: A survey,” arXiv Preprint, arXiv.2011.04843, 2020. [Online]. Available: https://arxiv.org/abs/2011.04843.

4. R. Nallapati, B. Zhou, C. Gulcehre and B. Xiang, “Abstractive text summarization using sequence-to-sequence rnns and beyond,” arXiv Preprint, arXiv.1602.06023, 2016. [Online]. Available: https://arxiv.org/abs/1602.06023.

5. Summpip: Unsupervised multi-document summarization with sentence graph compression;Zhao,2020

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