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

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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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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Abbreviation resolution evaluation IberEVAL 2018

NLP topic: processing abbreviations
Dataset: BARR2
Forum: IberEVAL
Competition: Biomedical Abbreviation Recognition and Resolution 2018
Domain: Health
Language(s): Spanish

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Abbreviation resolution IberEVAL 2018

NLP topic: processing abbreviations
Dataset: SPACCC
Forum: IberEVAL
Competition: Second Biomedical Abbreviation Recognition and Resolution (BARR2)
Domain: Health
Language(s): Spanish

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Detecting abbreviation-definition pairs IberEVAL 2018

NLP topic: processing abbreviations
Dataset: BARR2
Forum: IberEVAL
Competition: Biomedical Abbreviation Recognition and Resolution 2018
Domain: Health
Language(s): Spanish

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Abbreviation recognition and resolution IberEVAL 2017

NLP topic: processing abbreviations
Dataset: BARR
Forum: IberEVAL
Competition: Biomedical Abbreviation Recognition and Resolution
Domain: Health
Language(s): Spanish

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CoNLL 2009: Semantic role labeling (Spanish) CoNLL 2009

NLP topic: semantic role labeling
Dataset: CoNL-2009-ES
Forum: CoNLL
Competition: CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
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.