A Multi-Source Collection of Event-Labeled News Documents
Ida Mele, Fábio Crestani · 2019
In this paper, we present a collection of news documents labeled at the level of crisp events. Compared to other publicly-available collections, our dataset is made of heterogeneous documents published by popular news channels on different platforms in the same temporal window and, therefore, dealing with roughly the same events and topics.