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

Sexism classification 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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Detection of toxicity IberLEF 2021

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

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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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Fake news detection IberLEF 2021

NLP topic: fake news detection
Dataset: FakeDeS
Forum: IberLEF
Competition: FakeDeS: Fake news detection
Domain: COVID, others
Language(s): Spanish

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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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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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Worthiness estimation CLEF 2021

NLP topic: fake news detection
Dataset: CheckThat-ES
Forum: CLEF
Competition: CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates
Domain: Politics
Language(s): Spanish, English

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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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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.