Papers by David Batista

1 papers
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid (2024.findings-emnlp)

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Challenge: Humanitarian organizations can analyze data to discover trends, gather aggregated insights, manage security risks, and inform advocacy and funding proposals.
Approach: They present a dataset comprising news articles in three languages containing instances of different types of violent incidents categorized by the humanitarian sector they impact.
Outcome: The proposed framework can be used to identify violent incidents and identify their impact on humanitarian operations.

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