ACL RD-TEC 1.0 Summarization of W04-0834
Paper Title:
SUPERVISED WORD SENSE DISAMBIGUATION WITH SUPPORT VECTOR MACHINES AND MULTIPLE KNOWLEDGE SOURCES
SUPERVISED WORD SENSE DISAMBIGUATION WITH SUPPORT VECTOR MACHINES AND MULTIPLE KNOWLEDGE SOURCES
Authors: Yoong Keok Lee and Hwee Tou Ng and Tee Kiah Chia
Primarily assigned technology terms:
- algorithm
- binary classifier
- classification
- classifier
- computational linguistics
- cross validation
- disambiguation
- encoding
- feature selection
- five-fold cross validation
- kernel
- learning
- learning algorithm
- learning algorithms
- learning approach
- linear kernel
- optimization
- parser
- pos tagger
- regularization
- segmentation
- semantic analysis
- sense disambiguation
- sentence segmentation
- statistical parser
- supervised learning
- supervised learning approach
- supervised word sense disambiguation
- support vector machines
- svm learning
- tagger
- validation
- weka
- word sense disambiguation
Other assigned terms:
- adjective
- alphabet
- ambiguous word
- approach
- association for computational linguistics
- binary feature
- binary features
- case
- collocation
- constituent tree
- cross validation experiment
- data set
- data sets
- dependency tree
- dictionary
- dictionary entries
- evaluation data
- feature
- feature value
- feature vector
- hindi
- implementation
- kernel function
- knowledge
- linguistics
- method
- parse
- parse tree
- part-of-speech
- part-ofspeech
- partof-speech
- pos tag
- precision
- process
- punctuation
- regularization parameter
- semantic
- senses of a word
- sentence
- sentence boundary
- sentences
- source language
- support vector
- symbol
- symbols
- syntactic relations
- tags
- target language
- target word
- test data
- text
- tokens
- training
- training and test data
- training corpus
- training data
- training examples
- tree
- tree structure
- verb
- word
- word sense
- words
