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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2020.lrec-1.628.pdf