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 classification
- Dataset: ClinAIS 2023
- Forum: IberLEF
- Competition: ClinAIS: Automatic identification of sections in clinical documents
- 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)
- NLP topic: text classification
- Dataset: SMM4H-tweets-es-2022
- Forum: COLING
- Competition: Seventh Social Media Mining for Health Applications
- 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
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
Event detection IberLEF 2020
- NLP topic: processing events
- Dataset: FACT
- Forum: IberLEF
- Competition: FACT 2020: Factuality Analysis and Classification Task
- Domain:
- Language(s): Spanish
Complex word identification IberLEF 2020
- NLP topic: morphology
- Dataset: VYTEDU-CW
- Forum: IberLEF
- Competition: Análisis Léxico en SEPLN 2020
- Domain: Education
- Language(s): Spanish
Emoji prediction SEMEVAL 2018
- NLP topic: text classification
- Dataset: Tweets emojis-ES
- Forum: SEMEVAL
- Competition: SemEval 2018 Task 2: Multilingual Emoji Prediction
- Domain:
- Language(s): Spanish, English
Complex word identification Second 2018
- NLP topic: morphology
- Dataset: CWIG3G2-ES
- Forum: Second CWI Shared Task
- Competition: Second Complex Word Identification Shared Task
- Domain:
- Language(s): Spanish
Binary word identification Second 2018
- NLP topic: morphology
- Dataset: CWIG3G2-ES
- Forum: Second CWI Shared Task
- Competition: Second Complex Word Identification Shared Task
- Domain:
- Language(s): Spanish
Inflected form prediction CoNLL 2017
- NLP topic: morphology
- Dataset: CoNLL-SIGMORPHON-ES
- Forum: CoNLL
- Competition: CoNLL–SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
- Domain:
- Language(s): Spanish, English
Completion of inflectional paradigm CoNLL 2017
- NLP topic: morphology
- Dataset: CoNLL-SIGMORPHON-ES
- Forum: CoNLL
- Competition: CoNLL–SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
- Domain:
- Language(s): Spanish, English
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
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
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.
