Papers by Nicolo’ Tamagnone
HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crises Response (2022.findings-emnlp)
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Selim Fekih, Nicolo’ Tamagnone, Benjamin Minixhofer, Ranjan Shrestha, Ximena Contla, Ewan Oglethorpe, Navid Rekabsaz
| Challenge: | During humanitarian crises, a quick and accurate analysis of relevant data is critical to a timely and effective response. |
| Approach: | They introduce and release a multilingual dataset of humanitarian response documents annotated by experts in the humanitarian response domain. |
| Outcome: | The proposed dataset provides documents in three languages and covers a variety of humanitarian crises from 2018 to 2021 across the globe. |