Papers with extractive and abstractive summarization systems
DACSA: A large-scale Dataset for Automatic summarization of Catalan and Spanish newspaper Articles (2022.naacl-main)
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| Challenge: | a large corpus of documents is available for summarization tasks in English . supervised methods require adequate corpora for summarizing . |
| Approach: | They describe a corpus of catalan and spanish newspapers that can be used to train summarization models for Catalan, Spanish and other languages. |
| Outcome: | The proposed corpus can be used to train summarization models for Catalan and Spanish. |
CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization (2022.coling-1)
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| Challenge: | Existing methods for extractive and abstractive summarization use token-level or sentence-level training objectives. |
| Approach: | They propose a Contrastive Learning based re-ranking framework for one-stage summarization called CoLo. |
| Outcome: | The proposed framework boosts extractive and abstractive results on CNN/DailyMail benchmarks while maintaining inference efficiency. |