Extractive Summarisation for German-language Data: A Text-level Approach with Discourse Features (2022.coling-1)
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| Challenge: | Using RST, extractive summarisation involves using select phrases and sentences as a summary, which still remains a strong method for producing summaries despite its simple nature. |
| Approach: | They propose to use RST-based features to analyse the connection between summary sentences and several RST features and transfer these insights to various automated summarisation models. |
| Outcome: | The proposed models are based on the best features proposed over the last 20+ years and incorporate the best ones into the proposed models. |
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