Papers with semi-automated text reduction
Controlled Text Reduction (2022.emnlp-main)
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| Challenge: | Abstractive text summarization models separate the salience detection phase from the text generation phase. |
| Approach: | They propose to formalize Controlled Text Reduction as a standalone task . they advocate the potential of such models for modular fully-automatic summarization . |
| Outcome: | The proposed model shows that it is possible to produce a reduced version of a source text using decomposed modeling. |