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.
Named entity recognition IberLEF 2020
- NLP topic: (named) entity recognition
- Dataset: CAPITEL-NER
- Forum: IberLEF
- Competition: Named entity recognition and Universal Dependency parsing
- 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
Code mixed sentiment analysis SEMEVAL 2020
- NLP topic: sentiment analysis
- Dataset: SentiMix-Spanglish
- Forum: SEMEVAL
- Competition: Sentiment Analysis of Code-Mixed Tweets
- Domain:
- Language(s): Spanish, English
Universal dependency parsing IberLEF 2020
- NLP topic: parsing
- Dataset: CAPITEL-UD
- Forum: IberLEF
- Competition: Named entity recognition and Universal Dependency parsing
- Domain:
- 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
Factuality classification IberLEF 2020
- NLP topic: processing factuality
- Dataset: FACT
- Forum: IberLEF
- Competition: FACT 2020: Factuality Analysis and Classification Task
- 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.
