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
FinancES: Financial targeted sentiment analysis IberLEF 2023
- NLP topic: sentiment analysis
- Dataset: FinancES 2023
- Forum: IberLEF
- Competition: FinancES: Financial Targeted Sentiment Analysis in Spanish
- Domain: Finance
- Language(s): Spanish
- NLP topic: sentiment analysis
- Dataset: FinancES 2023
- Forum: IberLEF
- Competition: FinancES: Financial Targeted Sentiment Analysis in Spanish
- Domain: Finance
- Language(s): Spanish
Fake news detection IberLEF 2021
- NLP topic: fake news detection
- Dataset: FakeDeS
- Forum: IberLEF
- Competition: FakeDeS: Fake news detection
- Domain: COVID, others
- Language(s): Spanish
Author categorisation CLEF 2014
- NLP topic: text classification
- Dataset: RepLab-2014-Profiling
- Forum: CLEF
- Competition: RepLab 2014: Author Profiling and Reputation Dimensions for Online Reputation Management
- Domain: Finance
- Language(s): Spanish
Author ranking CLEF 2014
- NLP topic: text classification
- Dataset: RepLab-2014-Profiling
- Forum: CLEF
- Competition: RepLab 2014: Author Profiling and Reputation Dimensions for Online Reputation Management
- Domain: Finance
- 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.