Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling.
Parminder BhatiaKristjan ArumaeBusra CelikkayaPublished in: ICMLA (2019)
Keyphrases
- transfer learning
- sequence labeling
- conditional random fields
- dependency parsing
- learning tasks
- named entity recognition
- labeled data
- structured prediction
- knowledge transfer
- cross domain
- active learning
- semi supervised
- reinforcement learning
- machine learning
- multi task
- labeled and unlabeled data
- learning algorithm
- crf model
- semi supervised learning
- text mining
- text categorization
- text classification
- collaborative filtering
- transfer knowledge
- machine learning algorithms
- graphical models
- markov random field
- higher order
- unlabeled data
- target domain
- probabilistic model
- data sets
- training samples
- supervised learning
- hidden markov models
- pairwise
- data analysis
- bayesian networks