ACL RD-TEC 1.0 Summarization of W98-0317
Paper Title:
CUE PHRASE SELECTION IN INSTRUCTION DIALOGUE USING MACHINE LEARNING
CUE PHRASE SELECTION IN INSTRUCTION DIALOGUE USING MACHINE LEARNING
Authors: Yukiko I. Nakano and Tsuneaki Kato
Primarily assigned technology terms:
- 10-fold crossvalidation
- algorithm
- categorization
- coding
- cross-validation
- crossvalidation
- cue occurrence and placement
- cue phrase selection
- decision tree
- decision trees
- dialogue generation
- information retrieval
- language generation
- learning
- learning algorithm
- learning program
- learning technique
- learning techniques
- machine learning
- machine learning algorithm
- machine learning techniques
- natural language generation
- phrase selection
- pruning
- quantitative evaluation
Other assigned terms:
- 10-fold cross-validation
- annotation
- approach
- chunks
- coefficient
- concept
- context information
- correlation
- correlation coefficient
- cross-validation experiment
- cue occurrence
- cue phrase
- cue phrases
- cue selection
- data sets
- dialogue context
- dialogue corpus
- dialogue structure
- dialogues
- discourse
- discourse organization
- discourse segment
- discourse structure
- discourse topic
- discourse transition
- distribution
- error rate
- feature
- feature set
- generation
- hierarchical structure
- inter-coder agreement
- kappa
- meaning
- method
- names
- natural language
- phrase
- precision
- procedure
- propositions
- redundant information
- relation
- rhetorical structure
- rhetorical structure theory
- root node
- segment boundary
- segments
- signal
- standard deviation
- structural information
- subdialogue
- technique
- term
- terms
- test set
- theory
- topics
- training
- training data
- tree
- trees
- word
- words
