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: sentiment analysis
- Dataset: Rest-Mex 2023 Sentiment
- Forum: IberLEF
- Competition: Rest-Mex 2023: Research on Sentiment Analysis Task for Mexican Tourist Texts
- Domain: Tourism
- Language(s): Spanish
- NLP topic: profiling
- Dataset: PoliticES 2023
- Forum: IberLEF
- Competition: PoliticES: Political ideology detection in Spanish texts
- Domain: Social, Politics
- Language(s): Spanish
Author profiling IberLEF 2022
- NLP topic: profiling
- Dataset: PoliticEs
- Forum: IberLEF
- Competition: PoliticEs 2022: Spanish Author Profiling for Political Ideology
- Domain: Politics
- 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
Polarity classification IberLEF 2021
- NLP topic: sentiment analysis
- Dataset: RestMEX-SA
- Forum: IberLEF
- Competition: RestMEX: Recommendation System for Text Mexican Tourism
- Domain: Tourism
- Language(s): Spanish (Mexico)
Worthiness estimation CLEF 2021
- NLP topic: fake news detection
- Dataset: CheckThat-ES
- Forum: CLEF
- Competition: CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates
- Domain: Politics
- Language(s): Spanish, English
Complex word identification IberLEF 2020
- NLP topic: morphology
- Dataset: VYTEDU-CW
- Forum: IberLEF
- Competition: Análisis Léxico en SEPLN 2020
- Domain: Education
- Language(s): Spanish
Classification of political topics IberEVAL 2017
- NLP topic: topic modeling
- Dataset: COSET
- Forum: IberEVAL
- Competition: 1st Classification of Spanish Election Tweets Task
- Domain: Politics
- 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.
