Generating Semantically Similar and Human-Readable Summaries With Generative Adversarial Networks
The application of neural networks in natural language processing, including abstractive text summarization, is increasingly attractive in recent years. However, teaching a neural network to generate a human-readable summary that reflects the core idea of the original source text (i.e., semantically...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8910526/ |