In addition , we consider several types of lexical features ( LexF ) inspired by previous work on agreement and disagreement ( Galley et al. , 2004 ; Misra and Walker , 2013 ) .
identifying agreement and disagreement in conversational speech use of bayesian networks to model pragmatic dependencies
Michel Galley Kathleen McKeown Julia Hirschberg Elizabeth Shriberg
The MI approach discovers the words that are highly associated with Agree/Disagree categories and these words turn to be useful features for classification . In addition , we consider several types of lexical features ( LexF ) inspired by previous work on agreement and disagreement ( Galley et al. , 2004 ; Misra and Walker , 2013 ) . â¢ Sentiment Lexicon ( SL ) : Two features are designed using a sentiment lexicon ( Hu and Liu , 2004 ) where the first feature represents the number of times the Callout and the Target contain a positive emotional word and the second feature represents the number of the negative emotional words .
In addition , we consider several types of lexical features ( LexF ) inspired by previous work on agreement and disagreement ( @@CITATION ; Misra and Walker , 2013 ) .