arXiv cs.CL· Giacomo Gonella, Stefano Menini, Marco Guerini·· 13 小时前AI 评分24
CrisiLangs：面向危机预警生成的多语言资源
CrisiLangs: A Multilingual Resource for Crisis Warning Generation
AI 导读
CrisiLangs 将英文危机预警数据集 CrisiText 扩展至意大利语、保加利亚语、德语和希腊语，由母语专家翻译 411 个场景中 1,000 个事件的预警信息，共得到五种语言合计 5,000 条事件-信息对。
正文 · 原文
Abstract:Communicating with the public during an emergency entails issuing warning messages promptly. In Europe, it often requires producing them in more than one language. Recent work has shown that language models can be trained to generate warning messages as a crisis unfolds, but the available data covers only English. To fill this gap, we present CrisiLangs, a multilingual extension of CrisiText (an English dataset of crisis events paired with warning messages written according to expert communication guidelines) to Italian, Bulgarian, German, and Greek. Expert native speakers translated the warning messages of 1,000 events drawn from 411 scenarios, for a total of 5,000 event-message pairs across five languages. We test the resource to fine-tune a multilingual model on all five languages jointly, with and without the emergency guidelines in the prompt, and compare it with a zero-shot baseline. The fine-tuned models outperform the baseline on ROUGE-L, BLEU and BERTScore in every language and configuration. In a human preference study, low decoding temperatures receive the most preferences in all five languages and in both configurations, while the effect of the guidelines varies by language.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.31356 [cs.CL] |
| (or arXiv:2610.31356v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.31356 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Giacomo Gonella [view email]
[v1]
Thu, 22 Oct 2026 14:37:09 UTC (147 KB)
来源：arXiv cs.CL · arxiv.org