ACL RD-TEC 1.0 Summarization of P04-1045

Paper Title:
PREDICTING STUDENT EMOTIONS IN COMPUTER-HUMAN TUTORING DIALOGUES

Authors: Diane J. Litman and Kate Forbes-Riley

Other assigned terms:

  • 10-fold cross-validation
  • acoustic-prosodic feature
  • anaphora
  • annotation
  • annotation scheme
  • annotator
  • annotators
  • approach
  • case
  • comparable corpus
  • computer-human corpus
  • confusion matrix
  • corpora
  • data set
  • dialogue corpus
  • dialogue research
  • dialogues
  • document
  • duration
  • emotion
  • empirical results
  • error rate
  • essay
  • evaluations
  • fact
  • feature
  • feature set
  • feature sets
  • feature types
  • human-human dialogue
  • hypothesis
  • inter-annotator agreement
  • kappa
  • knowledge
  • labeling
  • language models
  • lexical feature
  • lexical features
  • lexical items
  • majority class baseline
  • manual annotation
  • measures
  • mechanisms
  • method
  • methodology
  • nominal anaphora
  • pause
  • pause duration
  • pitch
  • prediction accuracy
  • relative error reduction
  • representations
  • semantic
  • semantic accuracy
  • sentence
  • signal
  • silence
  • speaking rate
  • speech signal
  • system design
  • system performance
  • term
  • test data
  • text
  • topics
  • training
  • training and test data
  • tree
  • trees
  • turn duration
  • tutoring
  • tutoring dialogue
  • understanding
  • utterance
  • vocabulary
  • word
  • word error rate
  • word occurrence vector
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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