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.
HOPE. Multilingual Hope Speech detection - Spanish IberLEF 2023
- NLP topic: hate detection
- Dataset: HOPE-ES 2023
- Forum: IberLEF
- Competition: HOPE: Multilingual Hope Speech detection
- Domain: Social
- Language(s): Spanish, English
Sexism identification IberLEF 2021
- NLP topic: hate detection
- Dataset: EXIST-2021-ES
- Forum: IberLEF
- Competition: EXIST: Sexism detection in Twitter
- Domain:
- Language(s): Spanish, English
Sexism classification IberLEF 2021
- NLP topic: hate detection
- Dataset: EXIST-2021-ES
- Forum: IberLEF
- Competition: EXIST: Sexism detection in Twitter
- Domain:
- Language(s): Spanish, English
Hate speech detection SEMEVAL 2019
- NLP topic: hate detection
- Dataset: HateEval-ES
- Forum: SEMEVAL
- Competition: SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
- Domain:
- Language(s): Spanish, English
Aggressive behaviour and target classification SEMEVAL 2019
- NLP topic: hate detection
- Dataset: HateEval-ES
- Forum: SEMEVAL
- Competition: SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
- Domain:
- Language(s): Spanish, English
Misogyny identification IberEVAL 2018
- NLP topic: hate detection
- Dataset: AMI-ES
- Forum: IberEVAL
- Competition: AMI: Automatic Misogyny Identification
- Domain:
- Language(s): Spanish, English
Misogynistic behavior and target classification IberEVAL 2018
- NLP topic: hate detection
- Dataset: AMI-ES
- Forum: IberEVAL
- Competition: AMI: Automatic Misogyny Identification
- Domain:
- Language(s): Spanish, English
Person name disambiguation IberEVAL 2017
- NLP topic: information retrieval
- Dataset: M-WeP-NaD-2017
- Forum: IberEVAL
- Competition: Multilingual Web Person Name Disambiguation (M-WePNaD)
- Domain:
- Language(s): Spanish, English
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.
