SECNet: Unsupervised Text Summarization Using Salience Extractor with a Consistent Network
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 107 === Automated extractive document summarization is an important aspect of natural language processing. Most existing unsupervised summarization models use a graph-based ranking algorithm to evaluate the salience of sentences based on similarity. However, similari...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/3n6548 |