1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2023
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification
Nicolò Tamagnone, Selim Fekih, Ximena Contla +2
Accurate and rapid situation analysis during humanitarian crises is critical to delivering humanitarian aid efficiently and is fundamental to humanitarian imperatives and the Leave…
cs.CL2022★ 1 cited
HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crisis Response
Selim Fekih, Nicolò Tamagnone, Benjamin Minixhofer +4
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…