HAHA 2019 Dataset: A Corpus for Humor Analysis in Spanish

Luis Chiruzzo, Santiago Castro, Aiala Rosá


Abstract
This paper presents the development of a corpus of 30,000 Spanish tweets that were crowd-annotated with humor value and funniness score. The corpus contains approximately 38.6% of humorous tweets with an average score of 2.04 in a scale from 1 to 5 for the humorous tweets. The corpus has been used in an automatic humor recognition and analysis competition, obtaining encouraging results from the participants.
Anthology ID:
2020.lrec-1.628
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
5106–5112
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.628
DOI:
Bibkey:
Cite (ACL):
Luis Chiruzzo, Santiago Castro, and Aiala Rosá. 2020. HAHA 2019 Dataset: A Corpus for Humor Analysis in Spanish. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5106–5112, Marseille, France. European Language Resources Association.
Cite (Informal):
HAHA 2019 Dataset: A Corpus for Humor Analysis in Spanish (Chiruzzo et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.628.pdf