Multilingual and cross-lingual document classification: A meta-learning approach.
Niels van der HeijdenHelen YannakoudakisPushkar MishraEkaterina ShutovaPublished in: EACL (2021)
Keyphrases
- meta learning
- document classification
- cross lingual
- text classification
- feature selection
- learning tasks
- cross lingual information retrieval
- text categorization
- inductive learning
- machine learning
- model selection
- transfer learning
- machine translation
- text mining
- language modeling
- text documents
- machine learning algorithms
- decision trees
- bag of words
- classification algorithm
- data mining
- news articles
- naive bayes
- web documents
- document clustering
- learning algorithm
- machine translation system
- word alignment
- n gram
- supervised learning
- data sets
- image classification
- co occurrence
- labeled data
- knn
- feature space
- topic models