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.

Filter by

Search by keyword

Domain

NLP topic

Abstract task

Forum

Year

Language

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

View results >>

Relation extraction IberLEF 2021

NLP topic: relation extraction
Dataset: eHealth-KD-ES
Forum: IberLEF
Competition: eHealth Knowledge Discovery
Domain: Health
Language(s): Spanish, English

View results >>

Detecting abbreviation-definition pairs IberEVAL 2018

NLP topic: processing abbreviations
Dataset: BARR2
Forum: IberEVAL
Competition: Biomedical Abbreviation Recognition and Resolution 2018
Domain: Health
Language(s): Spanish

View results >>

Abbreviation resolution evaluation IberEVAL 2018

NLP topic: processing abbreviations
Dataset: BARR2
Forum: IberEVAL
Competition: Biomedical Abbreviation Recognition and Resolution 2018
Domain: Health
Language(s): Spanish

View results >>

Abbreviation resolution IberEVAL 2018

NLP topic: processing abbreviations
Dataset: SPACCC
Forum: IberEVAL
Competition: Second Biomedical Abbreviation Recognition and Resolution (BARR2)
Domain: Health
Language(s): Spanish

View results >>

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

View results >>

Abbreviation recognition and resolution IberEVAL 2017

NLP topic: processing abbreviations
Dataset: BARR
Forum: IberEVAL
Competition: Biomedical Abbreviation Recognition and Resolution
Domain: Health
Language(s): Spanish

View results >>

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.