Papers with SKGSum
SKGSum: Structured Knowledge-Guided Document Summarization (2024.findings-acl)
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Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Jiamou Liu, Xianda Zheng, Zijian Huang
| Challenge: | Existing summarization methods ignore the importance of summary structure, resulting in summaries that emphasize the most prominent information while omitting essential details from other sections. |
| Approach: | They propose a method that uses automatically extracted summary points to generate summaries. |
| Outcome: | The proposed methods improve quality and BERTScore of summaries and broaden the types of documents that can be effectively summarized. |