ACL RD-TEC 1.0 Summarization of W06-1636
Paper Title:
LEARNING PHRASAL CATEGORIES
LEARNING PHRASAL CATEGORIES
Authors: William P. Headden III and Eugene Charniak and Mark Johnson
Primarily assigned technology terms:
- algorithm
- approximation
- candidate selection
- capitalization
- clustering
- clustering algorithm
- clustering method
- computational linguistics
- decision trees
- language modeling
- language processing
- learning
- maximum likelihood
- model selection
- modeling
- natural language processing
- parser
- parsers
- parsing
- partitioning
- processing
- search
- smoothing
- splitting
- tuning
Other assigned terms:
- annotation
- association for computational linguistics
- candidate selection phase
- case
- cluster
- clusters
- context feature
- context features
- context information
- f-measure
- feature
- feature vector
- feature vectors
- fmeasure
- forest
- grammar
- grammar rules
- grammars
- implementation
- inheritance
- lexical head
- likelihood
- linguistics
- measure
- measures
- method
- natural language
- nonterminal
- nonterminals
- parse
- part of speech
- part-of-speech
- partof-speech
- pcfg
- penn treebank
- precision
- probabilities
- probability
- process
- production rules
- punctuation
- sbar
- sentence
- sentences
- suffix
- tag set
- terminals
- test set
- training
- training data
- tree
- treebank
- treebank tag set
- trees
- word
- words
