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: text indexing
- Dataset: MedProcNER/ProcTEMIST corpus 2023
- Forum: CLEF
- Competition: BioASQ 2023: Large-scale Biomedical Semantic Indexing and Question Answering
- Domain: Health
- Language(s): Spanish
- NLP topic: processing events
- Dataset: DA-VINCIS 2023
- Forum: IberLEF
- Competition: DA-VINCIS: Multimodal Information for the Detection of Aggressive and Violent INCIdents from Social media in Spanish
- Domain: Social
- Language(s): Spanish, Spanish (Mexico)
- NLP topic: processing events
- Dataset: DA-VINCIS 2023
- Forum: IberLEF
- Competition: DA-VINCIS: Multimodal Information for the Detection of Aggressive and Violent INCIdents from Social media in Spanish
- Domain: Social
- Language(s): Spanish, Spanish (Mexico)
Automatic indexing of clinical trials CLEF 2021
- NLP topic: text indexing
- Dataset: MESINESP8-L
- Forum: CLEF
- Competition: BioASQ 2021: Large-scale biomedical semantic indexing and question answering
- Domain: Health
- Language(s): Spanish
- NLP topic: text indexing
- Dataset: MESINESP8-L
- Forum: CLEF
- Competition: BioASQ 2021: Large-scale biomedical semantic indexing and question answering
- Domain: Health
- Language(s): Spanish
Diagnosis coding CLEF 2020
- NLP topic: text indexing
- Dataset: CodiEsp
- Forum: CLEF
- Competition: CodiEsp: Clinical Case Coding in Spanish Shared Task (eHealth CLEF 2020)
- Domain:
- Language(s): Spanish
Explainable AI CLEF 2020
- NLP topic: text indexing
- Dataset: CodiEsp
- Forum: CLEF
- Competition: CodiEsp: Clinical Case Coding in Spanish Shared Task (eHealth CLEF 2020)
- Domain:
- Language(s): Spanish
Event detection IberLEF 2020
- NLP topic: processing events
- Dataset: FACT
- Forum: IberLEF
- Competition: FACT 2020: Factuality Analysis and Classification Task
- Domain:
- 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.
