ACL RD-TEC 1.0 Summarization of P01-1048
Paper Title:
PREDICTING USER REACTIONS TO SYSTEM ERROR
PREDICTING USER REACTIONS TO SYSTEM ERROR
Authors: Diane Litman and Julia Hirschberg and Marc Swerts
Primarily assigned technology terms:
- algorithm
- classification
- cross-validation
- data collection
- dialogue manager
- dialogue system
- finite-state dialogue
- labeler
- learning
- learning algorithm
- learning program
- machine learning
- normalization
- predictor
- recognition
- recognition process
- recognizer
- speech recognition
- speech recognizer
- spoken dialogue
- spoken dialogue system
- text-to-speech
Other assigned terms:
- 10-fold cross-validation
- acoustic models
- american english
- array
- classification accuracy
- classification model
- classification task
- concept
- concepts
- confidence score
- contextual features
- dialogue corpus
- dialogue strategies
- dialogue strategy
- dialogues
- duration
- explicit confirmation
- fact
- feature
- feature set
- feature value
- grammar
- hypothesis
- lexical item
- lexical items
- measures
- method
- names
- norm
- pause
- pitch
- precision
- predictive power
- procedure
- process
- prosodic feature
- prosodic features
- prosodic information
- recognition errors
- signal
- sources of information
- speaking rate
- speech recognition error
- speech recognition errors
- spoken dialogue corpus
- syllables
- terms
- training
- training data
- training example
- user
- user behavior
- user initiative
- utterance
- word
- words
