ACL RD-TEC 1.0 Summarization of W94-0111
Paper Title:
EXPLORING THE STATISTICAL DERIVATION OF TRANSFORMATIONAL RULE SEQUENCES FOR PART-OF-SPEECH TAGGING
EXPLORING THE STATISTICAL DERIVATION OF TRANSFORMATIONAL RULE SEQUENCES FOR PART-OF-SPEECH TAGGING
Authors: Lance A. Ramshaw and Mitchell P. Marcus
Primarily assigned technology terms:
- algorithm
- classification
- classifiers
- cross-validation
- decision tree
- decision tree approach
- decision trees
- em training
- error-driven learning
- hidden markov
- hidden markov model
- incremental algorithm
- learner
- learning
- learning approach
- learning technique
- markov model
- matching
- neural net
- optimization
- part-of-speech tagging
- partitioning
- pruning
- ranking
- ranking function
- rule sequence learning
- scoring
- search
- selection process
- selective pruning
- sequence learning
- sequence training
- splitting
- supervised training
- tag assignment
- tagging
- tile
- training process
- transformation-based error-driven learning
Other assigned terms:
- ambiguity
- ambiguous word
- approach
- brown corpus
- case
- compounds
- corpora
- dependency tree
- dependency trees
- derivation
- entropy
- estimation
- events
- fact
- feature
- generation
- heuristic
- implementation
- incremental approach
- index
- inheritance
- knowledge
- large training
- lattice
- leaf
- likelihood
- linguistic
- linguistic data
- meaning
- measure
- method
- noise
- nouns
- part of speech
- part-of-speech
- phrase
- phrase structure
- phrase structure trees
- predicates
- probabilities
- probability
- probability estimates
- process
- relation
- root node
- rule pattern
- rule sequence
- rule template
- sequence model
- set size
- statistical model
- style
- tags
- tagset
- technique
- terms
- test corpus
- test set
- text
- training
- training corpus
- training set
- training set size
- tree
- tree path
- trees
- understanding
- vocabulary
- word
- words
