Bibliographic Reference Classification in Historiographic Documents using Supervised Machine Learning and Grammatical Features.
James PhilipsNasseh TabriziPublished in: ICISDM (2023)
Keyphrases
- supervised machine learning
- classification accuracy
- manually annotated
- feature vectors
- feature set
- classification method
- feature extraction
- supervised learning
- digital libraries
- feature space
- training set
- classification models
- machine learning
- svm classifier
- document classification
- document collections
- information retrieval systems
- active learning
- ground truth
- support vector machine
- decision trees
- co occurrence
- class labels
- low level
- natural language
- image features
- text classification
- xml documents
- data sets