Conditional Entropy Based Retrieval Model in Patient-Carer Conversational Cases

EasyChair Preprint 566

Abstract

Assistant Robots can be an efficient and low-cost solution to Patient-Care. One important aspect of Assistant Bots is succesful as well as Socially Intelligent Communication with the Patient. A new Conditional Entropy Retrieval Based model is proposed and also an Attitude Modeling based on Popitz Powers. The Conditional Entropy Model and the Attitude Model are combined in order to record Attitude Changes in Dialogue Interactions between Patients and Doctors.

Keyphrases: Assistant Bot, Chatbot, Entropy, Popitz Powers, Retrieval Based Model, Word Vector Representation, dialogue, robot

@booklet{EasyChair:566,
  author    = {Pavlidou Meropi and Antonis S. Billis and Nikolaos D. Hasanagas and Charalambos Bratsas and Ioannis Antoniou and Panagiotis D. Bamidis},
  title     = {Conditional Entropy Based Retrieval Model in Patient-Carer Conversational Cases},
  doi       = {10.29007/86vp},
  howpublished = {EasyChair Preprint 566},
  year      = {EasyChair, 2018}}