ACL RD-TEC 1.0 Summarization of W00-0730
Paper Title:
USE OF SUPPORT VECTOR LEARNING FOR CHUNK IDENTIFICATION
USE OF SUPPORT VECTOR LEARNING FOR CHUNK IDENTIFICATION
Authors: Taku Kudoh and Yuji Matsumoto
Primarily assigned technology terms:
- algorithm
- beam search
- binary classification
- chunk identification
- chunking
- classification
- classifier
- classifiers
- decision tree
- dp matching
- dynamic programming
- feature selection
- identification
- kernel
- learning
- learning algorithms
- learning approaches
- learning method
- learning methods
- majority voting
- matching
- maximum entropy
- optimization
- pairwise classification
- pairwise voting
- pattern recognition
- polynomial kernel
- recognition
- search
- statistical learning
- support vector machines
- svm light
- tagging
- vector learning
- voting
Other assigned terms:
- approach
- beam
- binary classification task
- chunk
- chunk type
- chunks
- classification problem
- classification task
- computational complexity
- entropy
- entropy models
- f-measure
- fact
- feature
- feature set
- feature vector
- feature vectors
- heuristics
- hypotheses
- kernel function
- labeling
- maximum entropy models
- method
- optimization problem
- pos tag
- positive and negative examples
- support vector
- svms
- svms training
- tags
- technique
- test data
- training
- training data
- training examples
- training set
- tree
- word
- words
