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

Non-contextual classification of offensive comments IberLEF 2021

NLP topic: hate detection
Dataset: MeOffendES
Forum: IberLEF
Competition: MeOffendES: Detection of offensive language
Domain:
Language(s): Spanish

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Detection of toxicity level IberLEF 2021

NLP topic: hate detection
Dataset: NewsCom-TOX
Forum: IberLEF
Competition: DETOXIS: Detection of toxicity
Domain:
Language(s):

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Non-contextual binary classification of offensive comments MEX IberLEF 2021

NLP topic: hate detection
Dataset: MeOffendES
Forum: IberLEF
Competition: MeOffendES: Detection of offensive language
Domain:
Language(s):

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Humor logic mechanism classification IberLEF 2021

NLP topic: processing humor
Dataset: HAHA
Forum: IberLEF
Competition: Detecting, Rating and Analyzing Humor in Spanish
Domain:
Language(s): Spanish

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Sexism identification IberLEF 2021

NLP topic: hate detection
Dataset: EXIST-2021-ES
Forum: IberLEF
Competition: EXIST: Sexism detection in Twitter
Domain:
Language(s): Spanish, English

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Aggresive language detection IberLEF 2020

NLP topic: hate detection
Dataset: Mexican Aggressiveness Corpus
Forum: IberLEF
Competition: MEX-A3T
Domain:
Language(s): Spanish (Mexico)

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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)

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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

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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)

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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

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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

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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)

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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

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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

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Humor detection IberEVAL 2018

NLP topic: processing humor
Dataset: HAHA
Forum: IberEVAL
Competition: Humor Analysis based on Human Annotation (HAHA)
Domain:
Language(s): Spanish

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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)

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Humor rating IberEVAL 2018

NLP topic: processing humor
Dataset: HAHA
Forum: IberEVAL
Competition: Humor Analysis based on Human Annotation (HAHA)
Domain:
Language(s): Spanish

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Misogyny identification IberEVAL 2018

NLP topic: hate detection
Dataset: AMI-ES
Forum: IberEVAL
Competition: AMI: Automatic Misogyny Identification
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.