Work

Overview of the EVALITA 2018 Task on Irony Detection in Italian Tweets (IronITA)

Year: 2018

Type: book-chapter

Abstract: IronITA is a new shared task in the EVALITA 2018 evaluation campaign, focused on the automatic classification of irony in Italian texts from Twitter. It includes two tasks: 1) irony detection and 2) detection of different types of irony, with a special focus on sarcasm identification. We received 17 submissions for the first task and 7 submissions for the second task from 7 teams.

Source: Accademia University Press eBooks

DOI: 10.4000/books.aaccademia.4470

Authors: Alessandra Teresa Cignarella, Simona Frenda, Valerio Basile, Cristina Bosco, Viviana Patti, Paolo Rosso

Institutions: University of Turin, Universitat Politècnica de València

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2907186736

FWCI: 17.83

Cites: 29

Cited by: 60

Related to: 10