EventNet-ITA: Italian Frame Parsing for Events
This provides the first publicly available Italian resource for event frame parsing, enabling research and applications in natural language processing for Italian.
The authors tackled the lack of Italian language resources for event frame parsing by creating EventNet-ITA, a large multi-domain corpus with over 53,000 annotated sentences and 200 frames, and developed an efficient multi-label sequence labeling approach that achieved 0.9 F1-score for frame classification and 0.72 for frame element classification.
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.