Classification and Clustering of Arguments with Contextualized Word Embeddings.
Nils ReimersBenjamin SchillerTilman BeckJohannes DaxenbergerChristian StabIryna GurevychPublished in: ACL (1) (2019)
Keyphrases
- unsupervised learning
- decision trees
- classification algorithm
- feature vectors
- clustering method
- clustering algorithm
- unsupervised clustering
- supervised classification
- high dimensionality
- classification accuracy
- co occurrence
- unsupervised classification
- automatic classification
- image classification
- pattern recognition
- pattern classification
- data clustering
- training set
- support vector machine
- feature extraction
- classification scheme
- feature space
- classification method
- support vector machine svm
- text classification
- dimensionality reduction
- n gram
- high dimensional data
- information theoretic
- k means
- document clustering
- training samples
- euclidean space
- categorical data
- active learning
- training data
- clustering analysis
- data mining