At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization (2020.coling-main)
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| Challenge: | Existing studies have shown that extracting sentences at sentence level is not the best solution for document summarization. |
| Approach: | They propose to extract sub-sentential units based on the constituency parsing tree and a neural extractive model which leverages the sub-sensential information and extracts them. |
| Outcome: | The proposed model performs competitively compared to full sentence extraction under automatic and human evaluations. |
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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 . |
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| Challenge: | Existing summarization paradigms focus on extractive summarizing based on sentence level labels . |
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