ACL RD-TEC 1.0 Summarization of W04-0851
Paper Title:
REGULARIZED LEAST-SQUARES CLASSIFICATION FOR WORD SENSE DISAMBIGUATION
REGULARIZED LEAST-SQUARES CLASSIFICATION FOR WORD SENSE DISAMBIGUATION
Primarily assigned technology terms:
- algorithm
- binary classification
- binary classifier
- brill tagger
- classification
- classifier
- classifiers
- coding
- disambiguation
- encoding
- frequency weighting
- kernel
- kernels
- language processing
- learning
- learning algorithm
- learning method
- learning methods
- learning procedure
- learning task
- least-squares classification
- linear kernel
- machine learning
- machine learning methods
- multi-class classification
- natural language processing
- porter stemmer
- processing
- regularization
- sense disambiguation
- stemmer
- string kernel
- support vector machine
- tagger
- tagging
- tikhonov regularization
- tree kernel
- weighting
- word sense disambiguation
Other assigned terms:
- case
- classification problem
- data sets
- dimensionality
- fact
- feature
- feature space
- feature vectors
- hypothesis
- hypothesis space
- kernel function
- knowledge
- language processing tasks
- learning problem
- measures
- method
- multi-class classification problem
- natural language
- natural language processing tasks
- norm
- opinion
- procedure
- processing tasks
- regularization parameter
- support vector
- syntactic information
- syntactic knowledge
- syntactic relations
- target word
- term
- term frequency
- theorem
- training
- training examples
- training set
- tree
- weighting scheme
- word
- word sense
- words
