ACL RD-TEC 1.0 Summarization of H89-1017
Paper Title:
THE MINDS SYSTEM: USING CONTEXT AND DIALOG TO ENHANCE SPEECH RECOGNITION
THE MINDS SYSTEM: USING CONTEXT AND DIALOG TO ENHANCE SPEECH RECOGNITION
Primarily assigned technology terms:
- artificial intelligence
- beam search
- database
- finite state
- inferencing
- large-vocabulary speech recognition
- parsing
- phonetic analysis
- problem solving
- processing
- querying
- recognition
- recognition process
- recognition system
- recognizer
- resource management
- search
- speech recognition
- speech recognition module
- speech recognition system
- speech recognizer
- speech systems
- textual understanding
- tree traversal
Other assigned terms:
- ambiguity
- approach
- artificial intelligence literature
- beam
- case
- community
- concept
- concepts
- contextual knowledge
- data structure
- database query
- derivational equivalence
- device
- dialog
- dialog structure
- document
- domain knowledge
- domain model
- domain theory
- error rate
- finite state network
- frame
- general world knowledge
- generation
- generation process
- grammar
- grammars
- inferences
- inheritance
- intelligence
- knowledge
- knowledge base
- large-vocabulary speech
- lexicon
- meaning
- natural language
- parse
- perplexity
- procedure
- process
- pronominal reference
- queries
- query
- recognition accuracy
- recognition errors
- recognition module
- search space
- semantic
- semantic accuracy
- semantic constraints
- semantic grammar
- semantic network
- sentence
- sentence boundaries
- sentence level
- sentences
- signal
- speech input
- speech recognition accuracy
- speech recognition errors
- speech recognition performance
- speech signal
- spoken input
- syntax
- syntax and semantics
- system performance
- test set
- theory
- tree
- understanding
- understanding process
- user
- user behavior
- user model
- utterance
- word
- word sequences
- words
- world knowledge
