ACL RD-TEC 1.0 Summarization of W06-2911
Paper Title:
APPLYING ALTERNATING STRUCTURE OPTIMIZATION TO WORD SENSE DISAMBIGUATION
APPLYING ALTERNATING STRUCTURE OPTIMIZATION TO WORD SENSE DISAMBIGUATION
Primarily assigned technology terms:
- algorithm
- alternating structure optimization
- approximation
- binary classification
- classification
- classifier
- classifiers
- computational linguistics
- computational natural language learning
- dimension reduction
- disambiguation
- empirical risk minimization
- feature split
- kernel
- kernels
- kpca
- language learning
- learning
- learning method
- learning procedure
- loss function
- machine learning
- natural language learning
- nlp
- optimization
- parser
- partitioning
- polynomial kernel
- pos tagger
- predictor
- principal component analysis
- regression
- regularization
- risk minimization
- semi-supervised learning
- sense disambiguation
- structure optimization
- supervised learning
- tagger
- training algorithm
- verb disambiguation
- word disambiguation
- word sense disambiguation
Other assigned terms:
- adjective
- approach
- association for computational linguistics
- bag of words
- baseline performance
- binary features
- case
- catalan
- classification problem
- conll-x
- context features
- data set
- data sets
- dimensionality
- evaluation metric
- evaluations
- f measure
- f-measure
- fact
- feature
- feature design
- feature types
- feature vector
- hyponym
- implementation
- inter-human agreement
- labeled training data
- linear model
- linguistics
- local context
- maps
- measure
- method
- modifier
- named entity
- natural language
- nlp tasks
- noun modifier
- nouns
- part of speech
- part-of-speech
- part-of-speech information
- parts of speech
- precision
- prediction model
- procedure
- projection
- relation
- semantic
- semantic relationship
- senseval-2 data set
- sentences
- slot
- statistics
- synonym
- syntactic relation
- syntactic relations
- target word
- test set
- training
- training data
- training examples
- training set
- unlabeled examples
- verb
- weight vector
- word
- word sense
- words