Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network (N18-2)
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| Challenge: | Abstractive text summarization models are hard to be controlled in the process of generation, which leads to a lack of key information. |
| Approach: | They propose a guiding generation model that combines extractive and abstractive methods to generate text summarization. |
| Outcome: | The proposed model improves on the CNN/Daily Mail dataset. |
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Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian
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