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
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
- 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
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
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
Procedure 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):
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
Negation cue identification IberLEF 2019
- NLP topic: processing negation
- Dataset: NEGES
- Forum: IberLEF
- Competition: NEGES 2019 Task: Negation in Spanish
- 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.
