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.
- NLP topic: sentiment analysis
- Dataset: MINT ES
- Forum: SEMEVAL
- Competition: SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis
- Domain: General
- Language(s): Spanish, English
Code mixed sentiment analysis SEMEVAL 2020
- NLP topic: sentiment analysis
- Dataset: SentiMix-Spanglish
- Forum: SEMEVAL
- Competition: Sentiment Analysis of Code-Mixed Tweets
- Domain:
- Language(s): Spanish, English
Emotion classification SEMEVAL 2018
- NLP topic: sentiment analysis
- Dataset: Affect in Tweets-ES
- Forum: SEMEVAL
- Competition: SemEval-2018 Task 1: Affect in Tweets
- Domain:
- Language(s): Spanish, English
Emotion intensity classification SEMEVAL 2018
- NLP topic: sentiment analysis
- Dataset: Affect in Tweets-ES
- Forum: SEMEVAL
- Competition: SemEval-2018 Task 1: Affect in Tweets
- Domain:
- Language(s): Spanish, English
Sentiment valence regression SEMEVAL 2018
- NLP topic: sentiment analysis
- Dataset: Affect in Tweets-ES
- Forum: SEMEVAL
- Competition: SemEval-2018 Task 1: Affect in Tweets
- Domain:
- Language(s): Spanish, English
Sentiment valence classification SEMEVAL 2018
- NLP topic: sentiment analysis
- Dataset: Affect in Tweets-ES
- Forum: SEMEVAL
- Competition: SemEval-2018 Task 1: Affect in Tweets
- Domain:
- Language(s): Spanish, English
Emotion intensity regression SEMEVAL 2018
- NLP topic: sentiment analysis
- Dataset: Affect in Tweets-ES
- Forum: SEMEVAL
- Competition: SemEval-2018 Task 1: Affect in Tweets
- Domain:
- Language(s): Spanish, English
CoNLL 2009: Semantic role labeling (Spanish) CoNLL 2009
- NLP topic: semantic role labeling
- Dataset: CoNL-2009-ES
- Forum: CoNLL
- Competition: CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
- 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.
