ACL RD-TEC 1.0 Summarization of W99-0606
Paper Title:
BOOSTING APPLIED TO TAGGING AND PP ATTACHMENT
BOOSTING APPLIED TO TAGGING AND PP ATTACHMENT
Authors: Steven Abney and Robert E. Schapire and Yoram Singer
Primarily assigned technology terms:
- adaboost
- algorithm
- approximation
- binary classification
- boosting
- boosting algorithm
- capitalization
- classification
- classifier
- classifiers
- computational linguistics
- cross validation
- density estimation
- encoding
- learner
- learning
- learning algorithm
- machine learning
- machine learning algorithm
- maxent
- normalization
- optimization
- part-of-speech tagging
- predictor
- preprocessing
- sampling
- searching
- stemmer
- tagger
- taggers
- tagging
- transformation-based learning
- validation
- voting
- voting scheme
- weak learner
Other assigned terms:
- annotation
- annotator
- approach
- case
- classification error
- classification rule
- distribution
- error rate
- estimation
- fact
- formal description
- hapax legomena
- hypotheses
- hypothesis
- likelihood
- linguistics
- local context
- maps
- measure
- method
- normalization factor
- paragraph
- paragraphs
- part of speech
- part-of-speech
- part-of-speech tags
- parts of speech
- phrase
- phrase attachment
- pp attachment
- pp-attachment
- ppattachment
- predicates
- prepositional phrase
- prepositional phrase attachment
- probability
- sequential model
- suffix
- tags
- tagset
- technique
- tokens
- training
- training data
- training example
- training examples
- training set
- treebank
- treebank corpus
- upenn treebank
- word
- words
