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.
Factuality classification IberLEF 2019
- NLP topic: processing factuality
- Dataset: FACT
- Forum: IberLEF
- Competition: FACT: Factuality Analysis and Classification Task,
- Domain:
- Language(s): Spanish
- 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
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
Binary 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
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
Stance detection IberEVAL 2018
- NLP topic: sentiment analysis
- Dataset: The TW-1O Referendum corpus - ES
- Forum: IberEVAL
- Competition: Multimodal Stance Detection in Tweets on Catalan #1Oct Referendum
- Domain:
- Language(s): Spanish
Misogyny identification IberEVAL 2018
- NLP topic: hate detection
- Dataset: AMI-ES
- Forum: IberEVAL
- Competition: AMI: Automatic Misogyny Identification
- Domain:
- Language(s): Spanish, English
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
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
Humor detection IberEVAL 2018
- NLP topic: processing humor
- Dataset: HAHA
- Forum: IberEVAL
- Competition: Humor Analysis based on Human Annotation (HAHA)
- Domain:
- Language(s): Spanish
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
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
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
Author categorisation 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
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.
