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 >>

Worthiness estimation CLEF 2021

NLP topic: fake news detection
Dataset: CheckThat-ES
Forum: CLEF
Competition: CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates
Domain: Politics
Language(s): Spanish, English

View results >>

Procedure Coding CLEF 2020

NLP topic: text indexing
Dataset: CodiEsp
Forum: CLEF
Competition: CodiEsp: Clinical Case Coding in Spanish Shared Task (eHealth CLEF 2020)
Domain:
Language(s):

View results >>

Hypernym Discovery SEMEVAL 2018

NLP topic: information extraction
Dataset: Hypernym corpora-ES
Forum: SEMEVAL
Competition: SemEval 2018 Shared Task on Hypernym Discovery
Domain:
Language(s): Spanish, English

View results >>

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

View results >>

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

View results >>

Author ranking CLEF 2014

NLP topic: text classification
Dataset: RepLab-2014-Profiling
Forum: CLEF
Competition: RepLab 2014: Author Profiling and Reputation Dimensions for Online Reputation Management
Domain: Finance
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.