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.

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NLP topic

Abstract task

Forum

Year

Language

MentalRiskES - Depression detection - Multiclass classification IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Depression 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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MentalRiskES - Eating disorders detection - simple regression IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Eating disorders 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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MentalRiskES - Non-defined disorder detection - Binary classification IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Undefined disorder 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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MentalRiskES - Depression detection - binary classification IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Depression 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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DA-VINCIS - Detection of aggressive and violent incidents from social media in Spanish IberLEF 2023

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)

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MentalRiskES - Non-defined disorder detection - Simple regression IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Undefined disorder 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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MentalRiskES - Depression detection - Simple regression IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Depression 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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MentalRiskES - Eating disorders detection - binary classification IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Eating disorders 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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DA-VINCIS - Classification of aggressive and violent incidents from social media in Spanish IberLEF 2023

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)

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PoliticES: Political Ideology Detection in Spanish Texts IberLEF 2023

NLP topic: profiling
Dataset: PoliticES 2023
Forum: IberLEF
Competition: PoliticES: Political ideology detection in Spanish texts
Domain: Social, Politics
Language(s): Spanish

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Author profiling IberLEF 2022

NLP topic: profiling
Dataset: PoliticEs
Forum: IberLEF
Competition: PoliticEs 2022: Spanish Author Profiling for Political Ideology
Domain: Politics
Language(s): Spanish

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Event detection IberLEF 2020

NLP topic: processing events
Dataset: FACT
Forum: IberLEF
Competition: FACT 2020: Factuality Analysis and Classification Task
Domain:
Language(s): Spanish

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Authorship attribution PAN 2018

NLP topic: profiling
Dataset: PAN18-Attribution-ES
Forum: PAN
Competition: Cross-Domain Authorship Attribution
Domain: Fiction
Language(s): Spanish, English

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L2 writing assistant SEMEVAL 2014

NLP topic: machine translation
Dataset: L2 writing assistant-EN-ES
Forum: SEMEVAL
Competition: SemEval-2014 Task 5: L2 Writing Assistant
Domain:
Language(s): Spanish, English

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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.