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.
- 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
- NLP topic: profiling
- Dataset: MentalRiskES - Depression 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
- 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
- NLP topic: profiling
- Dataset: PoliticES 2023
- Forum: IberLEF
- Competition: PoliticES: Political ideology detection in Spanish texts
- Domain: Social, Politics
- Language(s): Spanish
- NLP topic: profiling
- Dataset: MentalRiskES - Depression 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
- 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
- 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
- NLP topic: profiling
- Dataset: MentalRiskES - Depression 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
Author profiling IberLEF 2022
- NLP topic: profiling
- Dataset: PoliticEs
- Forum: IberLEF
- Competition: PoliticEs 2022: Spanish Author Profiling for Political Ideology
- Domain: Politics
- Language(s): Spanish
Factuality classification IberLEF 2020
- NLP topic: processing factuality
- Dataset: FACT
- Forum: IberLEF
- Competition: FACT 2020: Factuality Analysis and Classification Task
- Domain:
- Language(s): Spanish
Factuality classification IberLEF 2019
- NLP topic: processing factuality
- Dataset: FACT
- Forum: IberLEF
- Competition: FACT: Factuality Analysis and Classification Task,
- Domain:
- Language(s): Spanish
Authorship attribution PAN 2018
- NLP topic: profiling
- Dataset: PAN18-Attribution-ES
- Forum: PAN
- Competition: Cross-Domain Authorship Attribution
- Domain: Fiction
- Language(s): Spanish, English
Multilingual semantic word similarity SEMEVAL 2017
- NLP topic: text similarity
- Dataset: Word-similarity-2017-es
- Forum: SEMEVAL
- Competition: SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity
- Domain:
- Language(s): Spanish, English
Semantic textual similarity es-en wmt SEMEVAL 2017
- NLP topic: text similarity
- Dataset: STS 2017-es-en-WMT
- Forum: SEMEVAL
- Competition: SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
- Domain:
- Language(s): Spanish, English
Semantic textual similarity es-en SEMEVAL 2017
- NLP topic: text similarity
- Dataset: STS 2017-es-en
- Forum: SEMEVAL
- Competition: SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
- Domain:
- Language(s): Spanish, English
Semantic textual similarity es-es SEMEVAL 2015
- NLP topic: text similarity
- Dataset: STS-2015-es
- Forum: SEMEVAL
- Competition: SemEval-2015 Task 2: Semantic Textual Similarity
- Domain:
- Language(s): Spanish, English
Semantic textual similarity es-es SEMEVAL 2014
- NLP topic: text similarity
- Dataset: STS-2014-ES
- Forum: SEMEVAL
- Competition: SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
- Domain:
- Language(s): Spanish, English
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.
