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
Relation extraction IberLEF 2021
- NLP topic: relation extraction
- Dataset: eHealth-KD-ES
- Forum: IberLEF
- Competition: eHealth Knowledge Discovery
- Domain: Health
- 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
Entity recognition IberLEF 2021
- NLP topic: (named) entity recognition
- Dataset: eHealth-KD-ES
- Forum: IberLEF
- Competition: eHealth Knowledge Discovery
- Domain: Health
- Language(s): Spanish, English
Irony detection IberLEF 2019
- NLP topic: processing humor
- Dataset: IDAT-SP-EU, IDAT-SP-MEX, IDAT-SP-CUBA
- Forum: IberLEF
- Competition: Irony Detection in Spanish Variants
- Domain:
- Language(s): Spanish (Cuba), Spanish (Mexico), Spanish (Spain)
Irony detection IberLEF 2019
- NLP topic: processing humor
- Dataset: IDAT-SP-EU, IDAT-SP-MEX, IDAT-SP-CUBA
- Forum: IberLEF
- Competition: Irony Detection in Spanish Variants
- Domain:
- Language(s): Spanish (Cuba), Spanish (Mexico), Spanish (Spain)
Irony detection IberLEF 2019
- NLP topic: processing humor
- Dataset: IDAT-SP-EU, IDAT-SP-MEX, IDAT-SP-CUBA
- Forum: IberLEF
- Competition: Irony Detection in Spanish Variants
- Domain:
- Language(s): Spanish (Cuba), Spanish (Mexico), Spanish (Spain)
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.
