Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification.
Gibaeg KimSanghun ImHeung-Seon OhPublished in: ACL (Findings) (2024)
Keyphrases
- loss function
- hierarchical text classification
- hinge loss
- support vector
- boosting algorithms
- classification systems
- training data
- hierarchical classification
- pairwise
- hierarchical structure
- upper bound
- learning to rank
- square loss
- risk minimization
- empirical risk
- reproducing kernel hilbert space
- uniform convergence
- labelled data
- worst case
- lower bound
- boosting framework
- soft margin
- binary classification
- classification accuracy
- active learning
- training set
- loss bounds
- data sets
- convex loss functions
- kernel methods
- training samples
- support vector machine
- feature space
- web pages