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: 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: entity linking
- 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)
MEDDOPLACE: Location Entity Classification IberLEF 2023
- NLP topic: entity linking
- Dataset: MEDDOPLACE Corpus: Gold Standard annotations for Medical Documents Place-related Content Extraction
- Forum: IberLEF
- Competition: MEDDOPLACE: MEDical DOcument PLAce-related Content Extraction
- Domain: Health
- Language(s): Spanish
GUA-SPA: Spanish code classification IberLEF 2023
- NLP topic: code switching detection
- Dataset: GUA-SPA: Guarani Spanish corpus
- Forum: IberLEF
- Competition: GUA-SPA: Guarani-Spanish Code-Switching Analysis
- Domain: News
- Language(s): Spanish
DisTEMIST 2022: Entity linking CLEF 2022
- NLP topic: entity linking
- Dataset: DisTEMIST
- Forum: CLEF
- Competition: DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts
- Domain: Health
- 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.
