Tasks
A task is an activity proposed with the purpose of solving a specific NLP problem, generally within the framework of a competition. Below is information about NLP tasks in Spanish from 2013 to the present.
- NLP topic: profiling
- Dataset: MentalRiskES - Depression 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
- NLP topic: profiling
- Dataset: MentalRiskES - Undefined disorder 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
HUHU - Degree of prejudice prediction IberLEF 2023
- NLP topic: processing humor
- Dataset: HUHU 2023
- Forum: IberLEF
- Competition: HUHU: HUrtful HUmour - Detection of humour spreading prejudice on Twitter
- Domain: Social
- Language(s): Spanish
- NLP topic: profiling
- Dataset: MentalRiskES - Eating disorders 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
Rest-MEX: Predicting recommendation IberLEF 2022
- NLP topic: recommendation systems
- Dataset: RestMEX-recommendation system
- Forum: IberLEF
- Competition: Rest-Mex en IberLEF 2022: Sistema de Recomendación, Análisis de Sentimiento y Predicción de Semáforo Covid para Textos Turísticos Mexicanos
- Domain: Tourism
- Language(s): Spanish
Humor rating IberLEF 2021
- NLP topic: processing humor
- Dataset: HAHA
- Forum: IberLEF
- Competition: Detecting, Rating and Analyzing Humor in Spanish
- Domain:
- Language(s): Spanish
Humor rating IberLEF 2019
- NLP topic: processing humor
- Dataset: HAHA
- Forum: IberLEF
- Competition: HAHA 2019: Humor Analysis based on Human Annotation
- Domain:
- Language(s): Spanish
Humor rating IberEVAL 2018
- NLP topic: processing humor
- Dataset: HAHA
- Forum: IberEVAL
- Competition: Humor Analysis based on Human Annotation (HAHA)
- Domain:
- Language(s): Spanish
If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.