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

FinancES: Financial targeted sentiment analysis IberLEF 2023

NLP topic: sentiment analysis
Dataset: FinancES 2023
Forum: IberLEF
Competition: FinancES: Financial Targeted Sentiment Analysis in Spanish
Domain: Finance
Language(s): Spanish

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MentalRiskES - Depression detection - Simple regression IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Depression 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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MentalRiskES - Eating disorders detection - binary classification IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Eating disorders 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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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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AuTexTification: Model Generated Text Detection IberLEF 2023

NLP topic: text generation
Dataset: AuTexTification 2023
Forum: IberLEF
Competition: AuTexTification: Automated Text Identification
Domain: General, Legal, News
Language(s): Spanish

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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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FinancES: Financial sentiment analysis at document level for companies and consumers IberLEF 2023

NLP topic: sentiment analysis
Dataset: FinancES 2023
Forum: IberLEF
Competition: FinancES: Financial Targeted Sentiment Analysis in Spanish
Domain: Finance
Language(s): Spanish

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MentalRiskES - Depression detection - Multiclass classification IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Depression 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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MentalRiskES - Eating disorders detection - simple regression IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Eating disorders 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
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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AuTexTification: Model Generated Text Attribution IberLEF 2023

NLP topic: text generation
Dataset: AuTexTification 2023
Forum: IberLEF
Competition: AuTexTification: Automated Text Identification
Domain: General, Legal, News
Language(s): Spanish

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MedProcNER: Clinical Procedure Normalization CLEF 2023

NLP topic: entity linking
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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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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MentalRiskES - Non-defined disorder detection - Binary classification IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Undefined disorder 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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MentalRiskES - Depression detection - binary classification IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Depression 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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MEDDOPLACE: Location Entity Classification IberLEF 2023

NLP topic: entity linking
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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MedProcNER: Clinical Procedure-based Document Indexing CLEF 2023

NLP topic: text indexing
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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SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis SEMEVAL 2023

NLP topic: sentiment analysis
Dataset: MINT ES
Forum: SEMEVAL
Competition: SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis
Domain: General
Language(s): Spanish, English

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MentalRiskES - Non-defined disorder detection - Simple regression IberLEF 2023

NLP topic: profiling
Dataset: MentalRiskES - Undefined disorder 2023
Forum: IberLEF
Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
Domain: Health
Language(s): Spanish

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Classification of tweets containing self-reported COVID-19 symptoms COLING 2022

NLP topic: text classification
Dataset: SMM4H-tweets-es-2022
Forum: COLING
Competition: Seventh Social Media Mining for Health Applications
Domain: Health
Language(s): Spanish

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DisTEMIST 2022: Entity linking CLEF 2022

NLP topic: entity linking
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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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.