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
Aggresive language detection IberEVAL 2018
- NLP topic: hate detection
- Dataset: MEX-A3T-profiling
- Forum: IberEVAL
- Competition: MEX-A3T: Authorship and aggressiveness analysis in Mexican Spanish tweets
- Domain:
- Language(s): Spanish (Mexico)
Misogyny identification IberEVAL 2018
- NLP topic: hate detection
- Dataset: AMI-ES
- Forum: IberEVAL
- Competition: AMI: Automatic Misogyny Identification
- 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
Misogynistic behavior and target classification IberEVAL 2018
- NLP topic: hate detection
- Dataset: AMI-ES
- Forum: IberEVAL
- Competition: AMI: Automatic Misogyny Identification
- Domain:
- Language(s): Spanish, English
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
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.
