Recognizing Japanese Historical Cursive with Pseudo-Labeling-aided CRNN as an Application of Semi-Supervised Learning to Sequence Labeling.
Ayumu NagaiPublished in: ICFHR (2020)
Keyphrases
- semi supervised learning
- sequence labeling
- label propagation
- crf model
- discriminative models
- conditional random fields
- semi supervised
- active learning
- labeled and unlabeled data
- unsupervised learning
- named entity recognition
- unlabeled data
- labeled data
- supervised learning
- machine learning
- structured prediction
- co training
- generative model
- training data
- transfer learning
- learning problems
- higher order
- graphical models
- multiple kernel learning
- probabilistic model
- hidden markov models
- learning algorithm
- dimensionality reduction
- training examples
- pairwise constraints