Year: 2019
Type: conference-paper
Abstract: This paper presents BullyFrame, a dataset of cyberbulling interactions collected from WhatsApp conversations in Italian and annotated with FrameNet semantic frames. We will describe the creation of the dataset discussing the problematic aspects found in the annotation process, such as the lack of coverage of FrameNet for the annotation of texts extracted from social media. Finally, we present a preliminary study that describes the relations between the frames and the cyberbullying-related annotation of the original dataset
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W2990728254