Predicting Overt Display of Power in Written Dialogs

Vinodkumar Prabhakaran1,  Owen Rambow2,  Mona Diab2
1Computer Science Department, Columbia University, 2Center for Computational Learning Systems, Columbia University


Abstract

We analyze overt displays of power (ODPs) in written dialogs. We present an email corpus with utterances annotated for ODP and present a supervised learning system to predict it. We obtain a best cross validation F-measure of 65.8 using gold dialog act features and 55.6 without using them.