A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Advances in Intelligent and Soft Computing
In this paper, we present an agent-based dialog simulation technique for learning new dialog strategies and evaluate conversational agents. Using this technique the effort necessary to acquire data required to train the dialog model and then explore new dialog strategies is considerably reduced. A set of measures has also been defined to evaluate the dialog strategy that is automatically learned and compare different dialog corpora. We have applied this technique to explore the space ofdoi:10.1007/978-3-642-19875-5_33 dblp:conf/paams/GriolPCM11 fatcat:h5kgylx2uzdrfgmqsjdtqfiejm