2023
SemEval
SemEval 2023
NLP-LISAC at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis via a Transformer-based Approach and Data Augmentation
Abstract
AbstractThis paper presents our system and findings for SemEval 2023 Task 9 Tweet Intimacy Analysis. The main objective of this task was to predict the intimacy of tweets in 10 languages. Our submitted model (ranked 28/45) consists of a transformer-based approach with data augmentation via machine translation.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing
Topics
Machine Learning > Core Methods > Regression
Machine Learning > Application Areas > Data Augmentation
Natural Language Processing > Generation > Language Modeling
Machine Learning > Learning Types > Transfer Learning
Natural Language Processing > Applications > Sentiment Analysis
Deep Learning > Learning Types > Transfer Learning