ACL RD-TEC 1.0 Summarization of P06-1012
Paper Title:
ESTIMATING CLASS PRIORS IN DOMAIN ADAPTATION FOR WORD SENSE DISAMBIGUATION
ESTIMATING CLASS PRIORS IN DOMAIN ADAPTATION FOR WORD SENSE DISAMBIGUATION
Authors: Yee Seng Chan and Hwee Tou Ng
Primarily assigned technology terms:
- algorithm
- bayes algorithm
- bayes classifier
- bayes learner
- binary classifier
- classifier
- classifiers
- computational linguistics
- confusion matrix algorithm
- corpus-based approach
- corpus-based supervised machine learning
- disambiguation
- em algorithm
- internet
- isotonic regression
- iterative procedure
- learner
- learning
- learning algorithm
- learning methods
- logistic regression
- machine learning
- machine learning methods
- naive bayes
- naive bayes classifier
- naive bayes classifiers
- normalization
- regression
- sampling
- sense disambiguation
- supervised machine learning
- training algorithm
- unsupervised method
- word sense disambiguation
Other assigned terms:
- ambiguous word
- approach
- association for computational linguistics
- british national corpus
- brown corpus
- case
- chinese treebank
- class membership
- confusion matrix
- corpora
- data consortium
- data set
- distribution
- english translation
- estimation
- evaluation data
- experimental results
- kl divergence
- knowledge
- likelihood
- linguistic
- linguistic data
- linguistic data consortium
- linguistics
- meaning
- meanings
- measure
- method
- nouns
- parallel corpora
- parallel text
- parallel texts
- partsof-speech
- posterior
- posterior probability
- priori
- probabilities
- probability
- probability estimate
- probability estimates
- procedure
- process
- scalability
- semcor
- senses of a word
- sentences
- statistic
- symbols
- test data
- text
- text corpus
- training
- training data
- training examples
- training set
- treebank
- word
- word sense
- words
- wsj corpus
