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.
DIPROMATS 2024: Propaganda Identification IberLEF 2024
- NLP topic: text classification
- Dataset: DIPROMATS
- Forum: IberLEF
- Competition: DIPROMATS: Automatic Detection and Characterization of Propaganda Techniques and Narratives from Diplomats of Major Powers
- Domain:
- Language(s): Spanish, English
DIPROMATS 2024: Propaganda Characterization IberLEF 2024
- NLP topic: text classification
- Dataset: DIPROMATS
- Forum: IberLEF
- Competition: DIPROMATS: Automatic Detection and Characterization of Propaganda Techniques and Narratives from Diplomats of Major Powers
- Domain:
- Language(s): Spanish, English
DIPROMATS 2024: Narrative Detection IberLEF 2024
- NLP topic: text classification
- Dataset: DIPROMATS
- Forum: IberLEF
- Competition: DIPROMATS: Automatic Detection and Characterization of Propaganda Techniques and Narratives from Diplomats of Major Powers
- Domain:
- Language(s): Spanish, English
- NLP topic: text classification
- Dataset: ClinAIS 2023
- Forum: IberLEF
- Competition: ClinAIS: Automatic identification of sections in clinical documents
- Domain: Health
- Language(s): Spanish
Occupation and occupation holder detection IberLEF 2021
- NLP topic: text classification
- Dataset: MEDDOPROF
- Forum: IberLEF
- Competition: Recognition, classification and normalization of professions and occupations from medical texts
- Domain: Health
- Language(s): Spanish
Named entity normalization IberLEF 2021
- NLP topic: text classification
- Dataset: MEDDOPROF
- Forum: IberLEF
- Competition: Recognition, classification and normalization of professions and occupations from medical texts
- Domain: Health
- Language(s): Spanish
Detection of lexical borrowings IberLEF 2021
- NLP topic: text classification
- Dataset: ADoBo
- Forum: IberLEF
- Competition: ADOBO: Detection of lexical borrowings
- 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.
