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.
JOKER: Pun detection in Spanish CLEF 2023
- NLP topic: processing humor
- Dataset: JOKER 2023 ES
- Forum: CLEF
- Competition: JOKER: Automatic Wordplay Analysis
- Domain: Social
- Language(s): Spanish
- NLP topic: hate detection
- Dataset: EXIST-2023-ES
- Forum: CLEF
- Competition: EXIST: sEXism Identification in Social neTworks
- Domain: Social
- Language(s): Spanish
- NLP topic: hate detection
- Dataset: EXIST-2023-ES
- Forum: CLEF
- Competition: EXIST: sEXism Identification in Social neTworks
- Domain: Social
- Language(s): Spanish
JOKER: Pun location in Spanish CLEF 2023
- NLP topic: processing humor
- Dataset: JOKER 2023 ES
- Forum: CLEF
- Competition: JOKER: Automatic Wordplay Analysis
- Domain: Social
- Language(s): Spanish
EXIST-2023: Source Intention (hard-hard) CLEF 2023
- NLP topic: hate detection
- Dataset: EXIST-2023-ES
- Forum: CLEF
- Competition: EXIST: sEXism Identification in Social neTworks
- Domain: Social
- Language(s): Spanish
EXIST-2023: Source Intention (soft-soft) CLEF 2023
- NLP topic: hate detection
- Dataset: EXIST-2023-ES
- Forum: CLEF
- Competition: EXIST: sEXism Identification in Social neTworks
- Domain: Social
- Language(s): Spanish
- NLP topic: hate detection
- Dataset: EXIST-2023-ES
- Forum: CLEF
- Competition: EXIST: sEXism Identification in Social neTworks
- Domain: Social
- Language(s): Spanish
- NLP topic: hate detection
- Dataset: EXIST-2023-ES
- Forum: CLEF
- Competition: EXIST: sEXism Identification in Social neTworks
- Domain: Social
- Language(s): Spanish
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
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.