Classification and Clustering of Arguments with Contextualized Word Embeddings.
Nils ReimersBenjamin SchillerTilman BeckJohannes DaxenbergerChristian StabIryna GurevychPublished in: CoRR (2019)
Keyphrases
- clustering method
- unsupervised learning
- classification accuracy
- support vector
- unsupervised classification
- text classification
- classification algorithm
- supervised classification
- decision trees
- clustering algorithm
- classification scheme
- automatic classification
- high dimensionality
- support vector machine
- unsupervised clustering
- self organizing maps
- high dimensional data
- feature selection
- machine learning
- k means
- hierarchical clustering
- text clustering
- pattern recognition
- preprocessing
- feature space
- model selection
- dimensionality reduction
- data clustering
- pattern classification
- word sense disambiguation
- training set
- supervised learning
- feature set
- feature extraction
- support vector machine svm