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

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Named entity normalization IberLEF 2021

NLP topic: text classification
Dataset: MEDDOPROF
Forum: IberLEF
Competition: Recognition, classification and normalization of professions and occupations from medical texts
Domain: Health
Language(s): Spanish

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Humor detection 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 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 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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Stance detection IberLEF 2021

NLP topic: sentiment analysis
Dataset: VaxxStance-ES
Forum: IberLEF
Competition: Stance detection about vaccines
Domain: Health
Language(s): Spanish

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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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Relation extraction IberLEF 2021

NLP topic: relation extraction
Dataset: eHealth-KD-ES
Forum: IberLEF
Competition: eHealth Knowledge Discovery
Domain: Health
Language(s): Spanish, English

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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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Emotion classification IberLEF 2021

NLP topic: sentiment analysis
Dataset: EmoEventEs
Forum: IberLEF
Competition: EmoEvalEs: Emotion detection
Domain:
Language(s): Spanish

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Automatic indexing of scientific literature CLEF 2021

NLP topic: text indexing
Dataset: MESINESP8-L
Forum: CLEF
Competition: BioASQ 2021: Large-scale biomedical semantic indexing and question answering
Domain: Health
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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Occupation and occupation holder detection IberLEF 2021

NLP topic: text classification
Dataset: MEDDOPROF
Forum: IberLEF
Competition: Recognition, classification and normalization of professions and occupations from medical texts
Domain: Health
Language(s): Spanish

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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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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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Automatic indexing of clinical trials CLEF 2021

NLP topic: text indexing
Dataset: MESINESP8-L
Forum: CLEF
Competition: BioASQ 2021: Large-scale biomedical semantic indexing and question answering
Domain: Health
Language(s): Spanish

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Polarity classification IberLEF 2021

NLP topic: sentiment analysis
Dataset: RestMEX-SA
Forum: IberLEF
Competition: RestMEX: Recommendation System for Text Mexican Tourism
Domain: Tourism
Language(s): Spanish (Mexico)

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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.