ACL RD-TEC 1.0 Summarization of J97-4005
Paper Title:
STOCHASTIC ATTRIBUTE-VALUE GRAMMARS
STOCHASTIC ATTRIBUTE-VALUE GRAMMARS
Primarily assigned technology terms:
- algorithm
- approximation
- computational linguistics
- computing
- estimation algorithm
- feature selection
- gibbs sampling
- illustration
- image processing
- induction
- iterative scaling
- language processing
- learning
- machine learning
- maximum-likelihood
- metropolis algorithm
- metropolis-hastings
- metropolis-hastings algorithm
- natural language processing
- normalization
- parameter estimation
- parameter-estimation
- parsing
- pattern recognition
- processing
- random sampling
- recognition
- sampling
- statistical pattern recognition
- terminology
- tree generation
- weight-selection
Other assigned terms:
- approach
- case
- characters
- concreteness
- conditional probability
- constraint grammar
- context-free grammar
- context-free grammars
- corpora
- corpus size
- cross entropy
- derivation
- derivations
- distribution
- entropy
- estimation
- fact
- feature
- generation
- grammar
- grammar case
- grammars
- kl divergence
- knowledge
- kullback-leibler divergence
- language models
- likelihood
- linguistics
- markov chain
- measure
- method
- model parameters
- n-gram
- n-gram model
- natural language
- noise
- normalization factor
- orthography
- parse
- parse tree
- prior distribution
- probabilities
- probability
- probability distribution
- probability distributions
- process
- relative frequency
- rewrite rules
- right-hand side
- root node
- sentence
- statistics
- stochastic context-free grammar
- stochastic context-free grammars
- stochastic grammar
- syntactic tree
- term
- terms
- theory
- tokens
- training
- training corpus
- tree
- trees
- uniform distribution
- uniform probability
- word
- word distribution
- words
