Transfer Learning for Code-Mixed Data: Do Pretraining Languages Matter?
Kushal TatariyaHeather C. LentMiryam de LhoneuxPublished in: WASSA@ACL (2023)
Keyphrases
- transfer learning
- mixed data
- cross lingual
- learning tasks
- knowledge transfer
- data compression
- data sets
- knn
- labeled data
- reinforcement learning
- active learning
- mixture of gaussian distributions
- machine learning
- collaborative filtering
- similarity function
- cross domain
- clustering algorithm
- multi task
- semi supervised learning
- text mining
- text classification
- manifold alignment
- text categorization
- transferring knowledge
- learning algorithm
- domain adaptation
- transfer knowledge
- data mining
- k nearest neighbor
- data analysis
- databases
- target domain
- similarity measure
- k means
- nearest neighbor
- image compression
- distance function
- unlabeled data