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HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crisis Response. (arXiv:2210.04573v2 [cs.CL] UPDATED)
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Timely and effective response to humanitarian crises requires quick and
accurate analysis of large amounts of text data - a process that can highly
benefit from expert-assisted NLP systems trained on validated and annotated
data in the humanitarian response domain. To enable creation of such NLP
systems, we introduce and release HumSet, a novel and rich multilingual dataset
of humanitarian response documents annotated by experts in the humanitarian
response community. The dataset provides documents in three languages (English,
French, Spanish) …
arxiv classification crisis crisis response dataset extraction humanitarian information information extraction