  This paper introduces EventNet-ITA, a large, multi-domain corpus annotated
full-text with event frames for Italian. Moreover, we present and thoroughly
evaluate an efficient multi-label sequence labeling approach for Frame Parsing.
Covering a wide range of individual, social and historical phenomena, with more
than 53,000 annotated sentences and over 200 modeled frames, EventNet-ITA
constitutes the first systematic attempt to provide the Italian language with a
publicly available resource for Frame Parsing of events, useful for a broad
spectrum of research and application tasks. Our approach achieves a promising
0.9 strict F1-score for frame classification and 0.72 for frame element
classification, on top of minimizing computational requirements. The annotated
corpus and the frame parsing model are released under open license.
