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: Thematic Unsupervised Classification IberLEF 2023
- NLP topic: topic modeling
- Dataset: Rest-Mex 2023 Clustering
- Forum: IberLEF
- Competition: Rest-Mex 2023: Research on Sentiment Analysis Task for Mexican Tourist Texts
- Domain: News
- Language(s): Spanish
Complex word identification IberLEF 2020
- NLP topic: morphology
- Dataset: VYTEDU-CW
- Forum: IberLEF
- Competition: Análisis Léxico en SEPLN 2020
- Domain: Education
- Language(s): Spanish
Complex word identification Second 2018
- NLP topic: morphology
- Dataset: CWIG3G2-ES
- Forum: Second CWI Shared Task
- Competition: Second Complex Word Identification Shared Task
- Domain:
- Language(s): Spanish
Binary word identification Second 2018
- NLP topic: morphology
- Dataset: CWIG3G2-ES
- Forum: Second CWI Shared Task
- Competition: Second Complex Word Identification Shared Task
- Domain:
- Language(s): Spanish
Inflected form prediction CoNLL 2017
- NLP topic: morphology
- Dataset: CoNLL-SIGMORPHON-ES
- Forum: CoNLL
- Competition: CoNLL–SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
- Domain:
- Language(s): Spanish, English
Person name disambiguation IberEVAL 2017
- NLP topic: information retrieval
- Dataset: M-WeP-NaD-2017
- Forum: IberEVAL
- Competition: Multilingual Web Person Name Disambiguation (M-WePNaD)
- Domain:
- Language(s): Spanish, English
Completion of inflectional paradigm CoNLL 2017
- NLP topic: morphology
- Dataset: CoNLL-SIGMORPHON-ES
- Forum: CoNLL
- Competition: CoNLL–SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
- Domain:
- Language(s): Spanish, English
Classification of political topics IberEVAL 2017
- NLP topic: topic modeling
- Dataset: COSET
- Forum: IberEVAL
- Competition: 1st Classification of Spanish Election Tweets Task
- Domain: Politics
- Language(s): Spanish
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.
