ACL RD-TEC 1.0 Summarization of P94-1004
Paper Title:
HIDDEN UNDERSTANDING MODELS OF NATURAL LANGUAGE
HIDDEN UNDERSTANDING MODELS OF NATURAL LANGUAGE
Authors: Scott Miller and Robert Bobrow and Robert Ingria and Richard Schwartz
Primarily assigned technology terms:
- algorithm
- atis
- automatic learning
- automatic training
- bootstrapping
- bootstrapping process
- bracketing
- database
- database retrieval
- discourse processing
- dynamic programming
- em algorithm
- gradient descent search
- grammar induction
- hidden markov
- hidden markov model
- hidden markov models
- induction
- iterative procedure
- language understanding
- learning
- learning approach
- learning techniques
- markov model
- maximum likelihood
- meaning representation
- natural language systems
- natural language understanding
- nlp
- nlp system
- parser
- parsing
- probabilistic parsing
- processing
- pruning
- recognition
- search
- searching
- semantic interpreter
- speech recognition
- speech recognition \
- statistical learning
- statistical system
- statistical techniques
- stochastic process
- tagger
- training process
- viterbi
- viterbi search
Other assigned terms:
- analogy
- annotation
- annotation effort
- annotation schema
- annotator
- annotators
- approach
- beam
- case
- clause grammar formalism
- complete parse
- concept
- concepts
- data structure
- definite clause grammar
- derivation
- discourse
- discourse state
- document
- empirical results
- experimental results
- exponential time
- fact
- formalism
- frame
- grammar
- grammar formalism
- grammar rules
- grammars
- hidden understanding model
- hierarchical representation
- information content
- interpretation
- interpretation rules
- interpreter
- language evaluation
- language model
- large corpus
- lexical realization model
- likelihood
- linguistic
- markov models
- meaning
- meaning structure
- meanings
- mechanisms
- methodology
- model parameters
- natural language
- natural language evaluation
- nonterminal
- parse
- part-ofspeech
- phoneme
- phrase
- probabilities
- probability
- probability value
- procedure
- process
- production rules
- relation
- relative clause
- representations
- schema
- semantic
- semantic categories
- semantic grammar
- semantic graph
- semantic interpretation
- semantic interpretation rules
- semantic language model
- semantic representations
- sentence
- sentence corpus
- sentences
- sequential model
- statistical model
- statistical models
- stochastic grammar
- structured representation
- style
- sublanguage
- subtree
- syntactic categories
- syntactic parse
- system developer
- terms
- test set
- training
- training corpus
- training data
- training examples
- transition network
- transition probabilities
- tree
- tree structure
- trees
- understanding
- understanding component
- word
- word classes
- word sequence
- word sequences
- word string
- words
