ACL RD-TEC 1.0 Summarization of P02-1017
Paper Title:
A GENERATIVE CONSTITUENT-CONTEXT MODEL FOR IMPROVED GRAMMAR INDUCTION
A GENERATIVE CONSTITUENT-CONTEXT MODEL FOR IMPROVED GRAMMAR INDUCTION
Authors: Dan Klein and Christopher D. Manning
Primarily assigned technology terms:
- algorithm
- atis
- bracketing
- clustering
- clustering algorithm
- cutoff
- distributional clustering
- em algorithm
- error analysis
- grammar induction
- induction
- induction algorithm
- inside-outside algorithm
- k-means
- measuring
- modeling
- parameter search
- parser
- parsing
- pcfg parser
- right-branching
- search
- smoothing
- smoothing method
- structure search
- supervised parsing
- tagging
- tile
- tree induction
- unsupervised induction
- verb phrases
- viterbi
Other assigned terms:
- adjective
- bias
- binary tree
- boolean matrix
- break
- chunk
- clusters
- conditional model
- convergence
- data set
- data sets
- data sparsity
- dependency grammar
- determiner
- distribution
- evaluation method
- fact
- generative model
- gold standard
- grammar
- grammars
- heuristic
- heuristics
- knowledge
- labeling
- language syntax
- likelihood
- linguistic
- linguistic phenomenon
- linguistic structure
- measure
- measures
- method
- natural language
- natural language syntax
- nouns
- parameter space
- parse
- parsing accuracy
- part-of-speech
- part-of-speech tags
- particle
- parts-of-speech
- pcfg
- pcfgs
- penn treebank
- pos tag
- posterior
- precision
- predeterminer
- preposition
- prepositions
- probability
- procedure
- process
- punctuation
- recursive structure
- relative frequency
- right-branching structure
- search space
- seed
- sentence
- sentence boundary
- sentences
- stem
- symbols
- syntax
- tag sequence
- tags
- tagset
- terminals
- text
- training
- training data
- transformation
- tree
- treebank
- treebank grammar
- trees
- uniform distribution
- verb
- verb groups
- viterbi parse
- word
- word classes
- word type
- word types
- words
