Papers with Parallel cross-lingual summarization data

1 papers
Cross-Lingual Abstractive Summarization with Limited Parallel Resources (2021.acl-long)

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Challenge: Existing approaches to cross-lingual summarization use limited available cross-linguistic resources.
Approach: They propose a multi-task framework for cross-lingual abstractive summarization that uses a single decoder to generate monolingual and cross-linguistic summaries.
Outcome: Experiments on two CLS datasets show that the proposed model outperforms baseline models in low-resource and full-dataset scenarios.

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