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.
AuTexTification: Model Generated Text Detection IberLEF 2023
- NLP topic: text generation
- Dataset: AuTexTification 2023
- Forum: IberLEF
- Competition: AuTexTification: Automated Text Identification
- Domain: General, Legal, News
- Language(s): Spanish
AuTexTification: Model Generated Text Attribution IberLEF 2023
- NLP topic: text generation
- Dataset: AuTexTification 2023
- Forum: IberLEF
- Competition: AuTexTification: Automated Text Identification
- Domain: General, Legal, News
- 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
Named entity recognition SEMEVAL 2022
- NLP topic: (named) entity recognition
- Dataset: MultiCoNER-ES
- Forum: SEMEVAL
- Competition: SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)
- Domain: Diverse
- Language(s): Spanish, English
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
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
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.
