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.
Relation extraction IberLEF 2019
- NLP topic: information extraction
- Dataset: eHealth-KD 2019
- Forum: IberLEF
- Competition: eHealth-KD 2019: eHealth Knowledge Discovery
- Domain:
- Language(s): Spanish
Irony detection IberLEF 2019
- NLP topic: processing humor
- Dataset: IDAT-SP-EU, IDAT-SP-MEX, IDAT-SP-CUBA
- Forum: IberLEF
- Competition: Irony Detection in Spanish Variants
- Domain:
- Language(s): Spanish (Cuba), Spanish (Mexico), Spanish (Spain)
Sensitive span detection IberLEF 2019
- NLP topic: information extraction
- Dataset: MEDDOCAN
- Forum: IberLEF
- Competition: MEDDOCAN: Medical Document Anonymization Track
- Domain: Health
- Language(s): Spanish
Humor detection IberLEF 2019
- NLP topic: processing humor
- Dataset: HAHA
- Forum: IberLEF
- Competition: HAHA 2019: Humor Analysis based on Human Annotation
- Domain:
- Language(s): Spanish
Irony detection IberLEF 2019
- NLP topic: processing humor
- Dataset: IDAT-SP-EU, IDAT-SP-MEX, IDAT-SP-CUBA
- Forum: IberLEF
- Competition: Irony Detection in Spanish Variants
- Domain:
- Language(s): Spanish (Cuba), Spanish (Mexico), Spanish (Spain)
Entity recognition IberLEF 2019
- NLP topic: information extraction
- Dataset: eHealth-KD 2019
- Forum: IberLEF
- Competition: eHealth-KD 2019: eHealth Knowledge Discovery
- Domain:
- Language(s):
Humor rating IberLEF 2019
- NLP topic: processing humor
- Dataset: HAHA
- Forum: IberLEF
- Competition: HAHA 2019: Humor Analysis based on Human Annotation
- Domain:
- Language(s): Spanish
Irony detection IberLEF 2019
- NLP topic: processing humor
- Dataset: IDAT-SP-EU, IDAT-SP-MEX, IDAT-SP-CUBA
- Forum: IberLEF
- Competition: Irony Detection in Spanish Variants
- Domain:
- Language(s): Spanish (Cuba), Spanish (Mexico), Spanish (Spain)
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.
