Boundary Detection and Categorization of Argument Aspects via Supervised Learning.
Mattes RuckdeschelGregor WiedemannPublished in: ArgMining@COLING (2022)
Keyphrases
- boundary detection
- supervised learning
- image segmentation
- unsupervised learning
- object detection and recognition
- scale selection
- detection algorithm
- berkeley segmentation dataset
- image categorization
- text categorization
- semi supervised learning
- training set
- multiple instance learning
- learning algorithm
- machine learning
- data sets
- semi supervised
- labeled data
- training data
- knn
- active learning
- feature selection