Papers by Xiao-Jun Zeng
EDU-level Extractive Summarization with Varying Summary Lengths (2023.findings-eacl)
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| Challenge: | Existing studies on extractive summarization use finer-grained elementary discourse units . few studies exploited finer grained EDUs with little analysis and justification for the extractive unit selection . |
| Approach: | They propose an extractive model with Varying summary lengths that extracts fixed top-k salient sentences from the document as a summary. |
| Outcome: | The proposed model performs better on ROUGE scores than state-of-the-art models. |