ACL RD-TEC 1.0 Summarization of W95-0101
Paper Title:
UNSUPERVISED LEARNING OF DISAMBIGUATION RULES FOR PART OF SPEECH TAGGING
UNSUPERVISED LEARNING OF DISAMBIGUATION RULES FOR PART OF SPEECH TAGGING
Primarily assigned technology terms:
- algorithm
- anonymous ftp
- baum-welch algorithm
- baum-welch training
- classifier
- combined training
- computing
- disambiguation
- distributional analysis
- error analysis
- finite state
- finite state transducer
- human error analysis
- learner
- learning
- learning algorithm
- listing
- part of speech tagging
- processing
- processor
- rule learning
- rule-based tagger
- rule-based training
- scoring
- scoring function
- searching
- speech tagger
- speech tagging
- stochastic tagger
- supervised learner
- supervised learning
- supervised training
- tagger
- taggers
- tagging
- training algorithm
- transducer
- transformation-based learning
- unsupervised learning
- unsupervised learning algorithm
- unsupervised training
- weakly supervised learning
Other assigned terms:
- adjective
- ambiguous words
- annotated corpora
- annotated corpus
- annotated training corpus
- annotator
- approach
- bias
- brown corpus
- case
- corpora
- determiner
- dictionary
- dictionary entry
- distribution
- evaluation measure
- fact
- gold standard
- human intervention
- knowledge
- lob corpus
- mass noun
- measure
- measures
- method
- nouns
- ordered list
- part of speech
- part of speech tags
- parts of speech
- penn treebank
- penn treebank corpus
- probabilities
- probability
- probability estimates
- proper noun
- punctuation
- relative frequency
- sentence
- speech tag
- statistics
- tag sequence
- tagged corpus
- tagged text
- tagging accuracy
- tagging model
- tags
- terms
- test set
- text
- text corpus
- training
- training corpus
- training set
- transformation
- treebank
- treebank corpus
- unannotated corpus
- unannotated text
- untagged corpus
- untagged text
- verb
- wall street journal corpus
- word
- words
