ACL RD-TEC 1.0 Summarization of H94-1053
Paper Title:
STATISTICAL LANGUAGE PROCESSING USING HIDDEN UNDERSTANDING MODELS
STATISTICAL LANGUAGE PROCESSING USING HIDDEN UNDERSTANDING MODELS
Authors: Scott Miller and Richard Schwartz and Robert Bobrow and Robert Ingria
Primarily assigned technology terms:
- algorithm
- atis
- automatic learning
- automatic training
- bootstrapping
- bootstrapping process
- dynamic programming
- hidden markov
- hidden markov models
- language processing
- language understanding
- learning
- learning techniques
- meaning representation
- natural language systems
- processing
- pruning
- recognition
- search
- searching
- speech recognition
- speech recognition \
- statistical language processing
- statistical system
- stochastic process
- viterbi
- viterbi search
Other assigned terms:
- analogy
- annotation
- annotator
- approach
- concept
- concepts
- data structure
- discourse
- document
- experimental results
- exponential time
- fact
- grammars
- hidden understanding model
- interpretation
- language model
- lexical realization model
- markov models
- meaning
- meaning structure
- meanings
- mechanisms
- methodology
- natural language
- nonterminal
- phoneme
- phrase
- portability
- predicate calculus
- probabilities
- probability
- probability model
- probability value
- process
- relation
- representations
- semantic
- semantic language model
- sentence
- sentence corpus
- sentences
- sequential model
- statistical model
- statistical models
- structured representation
- sublanguage
- test set
- training
- training data
- transition network
- transition probabilities
- tree
- trees
- understanding
- understanding component
- word
- word classes
- word sequence
- word sequences
- word string
- words
