ACL RD-TEC 1.0 Summarization of P04-1081
Paper Title:
A KERNEL PCA METHOD FOR SUPERIOR WORD SENSE DISAMBIGUATION
A KERNEL PCA METHOD FOR SUPERIOR WORD SENSE DISAMBIGUATION
Authors: Dekai Wu and Weifeng Su and Marine Carpuat
Primarily assigned technology terms:
- bootstrap
- bootstrap resampling
- c + +
- classification
- classifier
- dimensionality reduction
- disambiguation
- kernel
- kernel pca
- kernels
- kpca
- language processing
- maximum entropy
- maximum entropy model
- modeling
- natural language processing
- nearest neighbors
- nlp
- nonlinear kernel pca
- optimization
- polynomial kernel
- principal component analysis
- processing
- recognition
- resampling
- sense disambiguation
- sense disambiguation task
- smoothing
- supervised classification
- supervised word sense disambiguation
- support vector machine
- support vector machines
- unsupervised training
- vector representation
- voting
- word sense disambiguation
Other assigned terms:
- approach
- bayes model
- case
- classification task
- comparative study
- component vector
- dimensionality
- disambiguating word
- disambiguation task
- distribution
- empirical results
- entropy
- entropy models
- evaluations
- experimental results
- fact
- feature
- feature information
- feature set
- feature space
- interpretation
- kernel function
- knowledge
- kpca model
- kpca-based model
- language processing task
- language processing tasks
- linear order
- mapping
- maximum entropy models
- method
- natural language
- natural language processing tasks
- nlp applications
- nouns
- precision
- procedure
- processing tasks
- representations
- sentence
- sentences
- statistical significance
- support vector
- svm model
- svms
- target word
- technique
- test set
- training
- training corpus
- training set
- training time
- understanding
- word
- word sense
- word senses
- word type
- wordnet
- wordnet senses
- words
- wsd model
