Tipo
Paper de conferencia
Año
2020
Lugar publicado
Marseille, France
Publisher
European Language Resources Association
ISBN
979-10-95546-34-4
Páginas
5106
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.
Autores
Aiala Rosá
Santiago Castro
Luis Chiruzzo
Citekey
chiruzzo-etal-2020-haha
URL a la publicación
Keywords