Influence of Classifiers and Encoders on Argument Classification in Japanese Assembly Minutes.
Yasutomo KimuraHideyuki ShibukiHokuto OtotakeYuzu UchidaKeiichi TakamaruKotaro SakamotoMadoka IshioroshiTeruko MitamuraNoriko KandoPublished in: LaCATODA/BtG@IJCAI (2019)
Keyphrases
- classification models
- support vector
- classification method
- decision trees
- supervised classification
- classification systems
- feature selection
- classification algorithm
- classification rate
- rule based classifier
- multi category
- svm classifier
- class labels
- training samples
- machine learning methods
- classification process
- probabilistic classifiers
- pattern recognition
- discriminant functions
- machine learning algorithms
- correctly classified
- decision boundary
- multiclass classification
- support vector machine svm
- optimum path forest
- majority voting
- training set
- fold cross validation
- multiple classifiers
- k nearest neighbour
- accurate classification
- training data
- feature vectors
- naive bayes
- support vector machine classifiers
- machine learning
- decision tree classifiers
- classifier ensemble
- accurate classifiers
- classification schemes
- classification procedure
- individual classifiers
- classifier combination
- classification decisions
- model selection
- classification accuracy
- ensemble classifier
- pattern classification
- image classification
- binary classifiers
- feature extraction
- higher classification accuracy
- feature set
- discriminative classifiers
- improves the classification accuracy
- nearest neighbor classifier
- support vector machine
- class probabilities
- supervised learning
- multi class
- text classification
- roc curve
- combining classifiers
- high classification accuracy
- final classification
- roc analysis
- naive bayes classifier