The Italian Emoji Prediction task (ITAmoji) is proposed at EVALITA 2018 evaluation campaign for the first time, after the success of the twin Multilingual Emoji Prediction Task, organized in the context of SemEval-2018 in order to challenge the research community to automatically model the semantics of emojis in Twitter. Participants were invited to submit systems designed to predict, given an Italian tweet, its most likely associated emoji, selected in a wide and heterogeneous emoji space. Twelve runs were submitted at ITAmoji by five teams. We present the data sets, the evaluation methodology including different metrics and the approaches of the participating systems. We also present a comparison between the performance of automatic systems and humans solving the same task. Data and further information about this task can be found at: https://sites. google.com/view/itamoji/.

Overview of the Evalita 2018 Italian Emoji Prediction (ITAmoji) Task

Wahyu Pamungkas, Endang;Patti, Viviana;
2018-01-01

Abstract

The Italian Emoji Prediction task (ITAmoji) is proposed at EVALITA 2018 evaluation campaign for the first time, after the success of the twin Multilingual Emoji Prediction Task, organized in the context of SemEval-2018 in order to challenge the research community to automatically model the semantics of emojis in Twitter. Participants were invited to submit systems designed to predict, given an Italian tweet, its most likely associated emoji, selected in a wide and heterogeneous emoji space. Twelve runs were submitted at ITAmoji by five teams. We present the data sets, the evaluation methodology including different metrics and the approaches of the participating systems. We also present a comparison between the performance of automatic systems and humans solving the same task. Data and further information about this task can be found at: https://sites. google.com/view/itamoji/.
2018
6th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop, EVALITA 2018
Turin, Italy
2018
CEUR Workshop Proceedings
CEUR-WS
2263
1
9
http://ceur-ws.org/Vol-2263/paper004.pdf
emoji prediction, Italian, Twitter, social media
Ronzano, Francesco; Barbieri, Francesco; Wahyu Pamungkas, Endang; Patti, Viviana; Chiusaroli, Francesca
File in questo prodotto:
File Dimensione Formato  
paper004.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 417.59 kB
Formato Adobe PDF
417.59 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1685449
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? ND
social impact