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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Abstract task

Forum

Year

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GUA-SPA: Named entity classification IberLEF 2023

NLP topic: (named) entity recognition
Dataset: GUA-SPA: Guarani Spanish corpus
Forum: IberLEF
Competition: GUA-SPA: Guarani-Spanish Code-Switching Analysis
Domain: News
Language(s): Spanish

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Monolingual NER Spanish SEMEVAL 2023

NLP topic: (named) entity recognition
Dataset: MultiCoNER v2 ES
Forum: SEMEVAL
Competition: SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2)
Domain: General
Language(s): Spanish, English

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MedProcNER: Medical Procedure Recognition CLEF 2023

NLP topic: (named) entity recognition
Dataset: MedProcNER/ProcTEMIST corpus 2023
Forum: CLEF
Competition: BioASQ 2023: Large-scale Biomedical Semantic Indexing and Question Answering
Domain: Health
Language(s): Spanish

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MEDDOPLACE: Location Entity Recognition IberLEF 2023

NLP topic: (named) entity recognition
Dataset: MEDDOPLACE Corpus: Gold Standard annotations for Medical Documents Place-related Content Extraction
Forum: IberLEF
Competition: MEDDOPLACE: MEDical DOcument PLAce-related Content Extraction
Domain: Health
Language(s): Spanish

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Named entity recognition SEMEVAL 2022

NLP topic: (named) entity recognition
Dataset: MultiCoNER-ES
Forum: SEMEVAL
Competition: SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)
Domain: Diverse
Language(s): Spanish, English

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Detection of disease mentions in tweets COLING 2022

NLP topic: (named) entity recognition
Dataset: SocialDisNER
Forum: COLING
Competition: Seventh Social Media Mining for Health Applications
Domain: Health
Language(s): Spanish

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Named entity recognition CLEF 2022

NLP topic: (named) entity recognition
Dataset: DisTEMIST
Forum: CLEF
Competition: DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts
Domain: Health
Language(s): Spanish

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Entity recognition IberLEF 2021

NLP topic: (named) entity recognition
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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MEDDOPROF - Named entity recognition IberLEF 2021

NLP topic: (named) entity recognition
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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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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SpRadIE - Named entity recognition CLEF 2021

NLP topic: (named) entity recognition
Dataset: SpRadIE
Forum: CLEF
Competition: SpRadIE: A challenge on information extraction from Spanish Radiology Reports
Domain: Health
Language(s): Spanish (Argentina)

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Named entity recognition IberLEF 2020

NLP topic: (named) entity recognition
Dataset: CAPITEL-NER
Forum: IberLEF
Competition: Named entity recognition and Universal Dependency parsing
Domain:
Language(s): Spanish

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Entity classification IberLEF 2019

NLP topic: (named) entity recognition
Dataset: MEDDOCAN
Forum: IberLEF
Competition: MEDDOCAN: Medical Document Anonymization Track
Domain: Health
Language(s): Spanish

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DIANN 2018: Disability detection IberEVAL 2018

NLP topic: (named) entity recognition
Dataset: DIANN-2018-ES
Forum: IberEVAL
Competition: Disability annotation on documents from the biomedical domain (DIANN)
Domain: Health
Language(s): Spanish

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L2 writing assistant SEMEVAL 2014

NLP topic: machine translation
Dataset: L2 writing assistant-EN-ES
Forum: SEMEVAL
Competition: SemEval-2014 Task 5: L2 Writing Assistant
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.