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

HOMO-MEX: Fine-grained hate speech detection track IberLEF 2023

NLP topic: hate detection
Dataset: HOMO-MEX 2023
Forum: IberLEF
Competition: HOMO-MEX: Hate speech detection in Online Messages directed tOwards the MEXican spanish speaking LGBTQ+ population
Domain: Social
Language(s): Spanish, Spanish (Mexico)

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HOPE. Multilingual Hope Speech detection - Spanish IberLEF 2023

NLP topic: hate detection
Dataset: HOPE-ES 2023
Forum: IberLEF
Competition: HOPE: Multilingual Hope Speech detection
Domain: Social
Language(s): Spanish, English

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ClinAIS: Automatic Identification of Sections in Clinical Documents in Spanish IberLEF 2023

NLP topic: text classification
Dataset: ClinAIS 2023
Forum: IberLEF
Competition: ClinAIS: Automatic identification of sections in clinical documents
Domain: Health
Language(s): Spanish

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HOMO-MEX: Hate speech detection IberLEF 2023

NLP topic: hate detection
Dataset: HOMO-MEX 2023
Forum: IberLEF
Competition: HOMO-MEX: Hate speech detection in Online Messages directed tOwards the MEXican spanish speaking LGBTQ+ population
Domain: Social
Language(s): Spanish, Spanish (Mexico)

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EXIST 2022: Sexism categorisation IberLEF 2022

NLP topic: hate detection
Dataset: EXIST-2022-ES
Forum: IberLEF
Competition: EXIST 2022: sEXism Identification in Social neTworks
Domain:
Language(s): Spanish

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EXIST 2022: Sexism detection IberLEF 2022

NLP topic: hate detection
Dataset: EXIST-2022-ES
Forum: IberLEF
Competition: EXIST 2022: sEXism Identification in Social neTworks
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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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 lexical borrowings IberLEF 2021

NLP topic: text classification
Dataset: ADoBo
Forum: IberLEF
Competition: ADOBO: Detection of lexical borrowings
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 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 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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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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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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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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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.