ACL RD-TEC 1.0 Summarization of N06-1034
Paper Title:
MODELLING USER SATISFACTION AND STUDENT LEARNING IN A SPOKEN DIALOGUE TUTORING SYSTEM WITH GENERIC, TUTORING, AND USER AFFECT PARAMETERS
MODELLING USER SATISFACTION AND STUDENT LEARNING IN A SPOKEN DIALOGUE TUTORING SYSTEM WITH GENERIC, TUTORING, AND USER AFFECT PARAMETERS
Authors: Kate Forbes-Riley and Diane Litman
Primarily assigned technology terms:
- communicator
- conceptual physics tutor
- darpa communicator
- dialogue analysis
- dialogue systems
- dialogue tutoring
- hypothesizing
- intelligent tutoring
- itspoke
- learning
- linear regression
- measuring
- modelling
- nlp
- predictor
- processing
- recognition
- recognizer
- regression
- semantic understanding
- speech processing
- speech recognition
- speech recognizer
- spoken dialogue
- spoken dialogue systems
- spoken dialogue tutoring
- text-to-speech
- text-to-speech system
- transcription
- tutoring spoken dialogue
- tutoring system
- why2-atlas
Other assigned terms:
- annotation
- annotator
- asr output
- case
- community
- concept
- corpora
- correlations
- data homogeneity
- dialogue acts
- dialogue research
- dialogues
- document
- emotion
- error rate
- essay
- evaluations
- fact
- interactivity
- knowledge
- labeling
- learning model
- lexical features
- linguistic
- linguistic features
- measure
- measures
- method
- pr05 corpus
- prediction model
- predictive power
- procedure
- recognition quality
- semantic
- speech recognition quality
- system performance
- term
- test corpus
- test data
- text
- trained model
- training
- training and test data
- training corpus
- training data
- tutoring
- understanding
- understanding component
- user
- user expertise
- user satisfaction
- user satisfaction model
- word
- word error rate
- words
