ACL RD-TEC 1.0 Summarization of J04-3004
Paper Title:
UNDERSTANDING THE YAROWSKY ALGORITHM
UNDERSTANDING THE YAROWSKY ALGORITHM
Primarily assigned technology terms:
- algorithm
- bootstrapping
- bootstrapping algorithm
- classifier
- classifiers
- co-training
- computational linguistics
- computing
- decision list induction
- dl-em algorithm
- em algorithm
- expectation-maximization
- fixed smoothing
- induction
- induction algorithm
- iterative algorithm
- language-processing
- learner
- learning
- learning algorithm
- learning algorithms
- list induction
- list induction algorithm
- machine learning
- machine learning algorithms
- matching
- maximum-entropy
- maximum-likelihood
- normalization
- reasoning
- rule matching
- rule scoring
- scoring
- scoring function
- semisupervised learning
- smoothing
- smoothing method
- supervised learner
- supervised learning
- supervised learning algorithm
- yarowsky algorithm
Other assigned terms:
- ambiguity
- approach
- case
- coefficient
- conditional distribution
- conditional probability
- conditional probability distribution
- convergence
- cross entropy
- data set
- data sets
- distribution
- entropy
- fact
- feature
- feature set
- hypothesis
- index
- kullback-leibler divergence
- labeling
- lemma
- likelihood
- linear combination
- linguistics
- local maximum
- log-likelihood
- measure
- method
- paragraph
- parameter settings
- parameter values
- posterior
- posterior probability
- precision
- probability
- probability distribution
- proposition
- schema
- seed
- synonym
- term
- theorem
- training
- training data
- training set
- understanding
- uniform distribution
- unlabeled examples
