CATAMARAN: A Cross-lingual Long Text Abstractive Summarization Dataset (2022.lrec-1)
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| Challenge: | Existing studies on cross-lingual summarization rely on pseudo-cross-lingual datasets . such an approach would lead to the loss of information in the original document and introduce noise into the summary . |
| Approach: | They present a high-quality cross-lingual long text abstractive summarization dataset . it contains 20,000 parallel news articles and corresponding summaries written by humans . |
| Outcome: | The proposed model outperforms monolingual systems in the cross-lingual task. |
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