Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques.
Ruixi LinCharles CostelloCharles JankowskiPublished in: CoRR (2018)
Keyphrases
- classification accuracy
- feature vectors
- feature extraction
- feature set
- feature space
- classification method
- classification models
- classification process
- co occurrence
- decision tree classifiers
- extracted features
- image classification
- multiple classifiers
- svm classifier
- support vector machine
- individual features
- final classification
- wrapper feature selection
- support vector
- training set
- feature selection
- classification algorithm
- word segmentation
- ensemble classifier
- chinese characters
- neural network
- writing style
- training data
- weak learners
- majority voting
- eeg signals
- image features
- support vector machine svm
- class labels
- benchmark datasets
- weak classifiers
- random forest
- base classifiers
- classifier ensemble
- feature ranking
- feature subset
- text classification
- decision trees
- machine learning
- writer identification
- high dimensional data