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
HOPE. Multilingual Hope Speech detection - Spanish IberLEF 2023
- NLP topic: hate detection
- Dataset: HOPE-ES 2023
- Forum: IberLEF
- Competition: HOPE: Multilingual Hope Speech detectionÂ
- Domain: Social
- Language(s): Spanish, English
Relation extraction IberLEF 2021
- NLP topic: relation extraction
- Dataset: eHealth-KD-ES
- Forum: IberLEF
- Competition: eHealth Knowledge Discovery
- Domain: Health
- Language(s): Spanish, English
Sexism identification IberLEF 2021
- NLP topic: hate detection
- Dataset: EXIST-2021-ES
- Forum: IberLEF
- Competition: EXIST: Sexism detection in Twitter
- Domain:
- Language(s): Spanish, English
Sexism classification IberLEF 2021
- NLP topic: hate detection
- Dataset: EXIST-2021-ES
- Forum: IberLEF
- Competition: EXIST: Sexism detection in Twitter
- Domain:
- 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
Aggressive behaviour and target classification SEMEVAL 2019
- NLP topic: hate detection
- Dataset: HateEval-ES
- Forum: SEMEVAL
- Competition: SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
- Domain:
- Language(s): Spanish, English
Hate speech detection SEMEVAL 2019
- NLP topic: hate detection
- Dataset: HateEval-ES
- Forum: SEMEVAL
- Competition: SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
- Domain:
- Language(s): Spanish, English
- NLP topic: parsing
- Dataset: CoNLL-UD2.2-ES
- Forum: CoNLL
- Competition: CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Domain:
- Language(s): Spanish, English
Emoji prediction SEMEVAL 2018
- NLP topic: text classification
- Dataset: Tweets emojis-ES
- Forum: SEMEVAL
- Competition: SemEval 2018 Task 2: Multilingual Emoji Prediction
- Domain:
- Language(s): Spanish, English
Authorship attribution PAN 2018
- NLP topic: profiling
- Dataset: PAN18-Attribution-ES
- Forum: PAN
- Competition: Cross-Domain Authorship Attribution
- Domain: Fiction
- 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
Misogyny identification IberEVAL 2018
- NLP topic: hate detection
- Dataset: AMI-ES
- Forum: IberEVAL
- Competition: AMI: Automatic Misogyny Identification
- 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
Misogynistic behavior and target classification IberEVAL 2018
- NLP topic: hate detection
- Dataset: AMI-ES
- Forum: IberEVAL
- Competition: AMI: Automatic Misogyny Identification
- Domain:
- Language(s): Spanish, English
Universal dependency parsing CoNLL 2017
- NLP topic: parsing
- Dataset: UD2.0-es
- Forum: CoNLL
- Competition: CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Domain:
- Language(s): Spanish, English
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
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.
