Using Active Learning for Segmentation and Semantic Classification of Legal Acts Extracted from Official Diaries.
Kattiana ConstantinoThiago H. P. SilvaJoão Vítor B. SilvaVictor Augusto L. CruzOtávio M. M. ZucherattoMarcos CarvalhoWelton SantosCelso FrançaCláudio M. V. de AndradeAlberto H. F. LaenderMarcos André GonçalvesPublished in: J. Inf. Data Manag. (2023)
Keyphrases
- active learning
- supervised learning
- classification accuracy
- batch mode active learning
- training set
- decision trees
- statistical classification
- selective sampling
- level set
- textural features
- semantic information
- feature space
- segmentation algorithm
- machine learning
- classification algorithm
- text classification
- class imbalance
- pixel classification
- image segmentation
- feature extraction
- pattern recognition
- medical images
- multiscale
- support vector
- extracted features
- support vector machine svm
- semi supervised learning
- learning process
- image analysis
- classification method
- object segmentation
- semi supervised
- natural language
- speech acts
- features extraction
- semantic web
- feature extraction and classification
- data sets
- annotation effort
- image classification
- grey level co occurrence matrix