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.
Hate speech detection SEMEVAL 2019
- NLP topic: hate detection
- Dataset: HateEval-ES
- Forum: SEMEVAL
- Competition: SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
- Domain:
- Language(s): Spanish, English
Polarity classification IberLEF 2019
- NLP topic: sentiment analysis
- Dataset: InterTASS-SP, InterTASS-MEX, InterTASS-CR, InterTASS-PE, InterTASS-URU
- Forum: IberLEF
- Competition: TASS: Sentiment Analysis Task at SEPLN
- Domain:
- Language(s): Spanish (Costa Rica), Spanish (Mexico), Spanish (Peru), Spanish (Spain), Spanish (Uruguay)
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
Polarity classification IberLEF 2019
- NLP topic: sentiment analysis
- Dataset: NEGES
- Forum: IberLEF
- Competition: NEGES 2019 Task: Negation in Spanish
- Domain:
- Language(s): Spanish
Aggressive behaviour and target classification SEMEVAL 2019
- NLP topic: hate detection
- Dataset: HateEval-ES
- Forum: SEMEVAL
- Competition: SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
- Domain:
- Language(s): Spanish, English
Polarity classification IberLEF 2019
- NLP topic: sentiment analysis
- Dataset: InterTASS-SP, InterTASS-MEX, InterTASS-CR, InterTASS-PE, InterTASS-URU
- Forum: IberLEF
- Competition: TASS: Sentiment Analysis Task at SEPLN
- Domain:
- Language(s): Spanish (Costa Rica), Spanish (Mexico), Spanish (Peru), Spanish (Spain), Spanish (Uruguay)
Polarity classification IberLEF 2019
- NLP topic: sentiment analysis
- Dataset: InterTASS-SP, InterTASS-MEX, InterTASS-CR, InterTASS-PE, InterTASS-URU
- Forum: IberLEF
- Competition: TASS: Sentiment Analysis Task at SEPLN
- Domain:
- Language(s): Spanish (Costa Rica), Spanish (Mexico), Spanish (Peru), Spanish (Spain), Spanish (Uruguay)
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
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
Polarity classification IberLEF 2019
- NLP topic: sentiment analysis
- Dataset: InterTASS-SP, InterTASS-MEX, InterTASS-CR, InterTASS-PE, InterTASS-URU
- Forum: IberLEF
- Competition: TASS: Sentiment Analysis Task at SEPLN
- Domain:
- Language(s): Spanish (Costa Rica), Spanish (Mexico), Spanish (Peru), Spanish (Spain), Spanish (Uruguay)
Polarity classification IberLEF 2019
- NLP topic: sentiment analysis
- Dataset: InterTASS-SP, InterTASS-MEX, InterTASS-CR, InterTASS-PE, InterTASS-URU
- Forum: IberLEF
- Competition: TASS: Sentiment Analysis Task at SEPLN
- Domain:
- Language(s): Spanish (Costa Rica), Spanish (Mexico), Spanish (Peru), Spanish (Spain), Spanish (Uruguay)
Entity classification IberLEF 2019
- NLP topic: (named) entity recognition
- Dataset: MEDDOCAN
- Forum: IberLEF
- Competition: MEDDOCAN: Medical Document Anonymization Track
- Domain: Health
- Language(s): Spanish
Factuality classification IberLEF 2019
- NLP topic: processing factuality
- Dataset: FACT
- Forum: IberLEF
- Competition: FACT: Factuality Analysis and Classification Task,
- Domain:
- Language(s): Spanish
Negation cue identification IberLEF 2019
- NLP topic: processing negation
- Dataset: NEGES
- Forum: IberLEF
- Competition: NEGES 2019 Task: Negation in Spanish
- 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.
