Automation of Anti-Corruption Expertise of Legislative Acts with Machine Learning Labeled Data.
Darya RakhvalovaGalina KurcheevaMarina RakhvalovaMaksim BakaevPublished in: IMS (SCEE) (2019)
Keyphrases
- semi supervised learning algorithms
- labeled data
- semi supervised learning
- machine learning
- semi supervised
- unlabeled data
- text classification
- active learning
- supervised learning
- semi supervised classification
- feature engineering
- transfer learning
- learning algorithm
- label propagation
- training data
- learning models
- co training
- learning problems
- data points
- domain adaptation
- labeled examples
- unsupervised learning
- labeled and unlabeled data
- labeled training data
- prior knowledge
- supervised methods
- class labels
- learning tasks
- neural network
- decision trees
- text mining
- text categorization
- background knowledge
- supervised learning algorithms
- transductive inference
- supervised machine learning
- data sets
- labeled instances
- multiple instance learning
- target domain
- machine learning algorithms
- training examples
- natural language processing
- knowledge representation
- natural language
- data mining