Multi-label Infectious Disease News Event Corpus
This paper describes a new corpus consisting of circa 4.5K news snippets (multi-)labelled with fine-grained infectious disease-related event types. The paper presents the underlying event taxonomy consisting of 25 event categories, the process of creating the corpus, related statistics and reports on the performance of SVM- and transformer-based baseline models for multi-label event classification
PISKORSKI Jakub;
STEFANOVITCH Nicolas;
DOHERTY Brian;
LINGE Jens;
KHARAZI Sopho;
MANTERO Jas;
JACQUET Guillaume;
SPADARO Alessio;
TEODORI Giulia;
2024-01-11
Elsevier
JRC132996
1613-0073 (online),
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