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.
Rest-MEX: Predicting recommendation IberLEF 2022
- NLP topic: recommendation systems
- Dataset: RestMEX-recommendation system
- Forum: IberLEF
- Competition: Rest-Mex en IberLEF 2022: Sistema de Recomendación, Análisis de Sentimiento y Predicción de Semáforo Covid para Textos Turísticos Mexicanos
- Domain: Tourism
- Language(s): Spanish
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
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-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
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
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.
