Towards an open-domain social dialog system

Abstract

This article describes a text-based, open-domain dialog system developed especially for social, smalltalk-like conversations. While much research is focused on goal-oriented dialog currently, in human-to-human communication many dialogs do not have a predefined goal. In order to achieve similar communication with a computer, we propose a framework which is easily extensible by combining different response patterns. The individual components are trained on web-crawled data. Using a data-driven approach, we are able to generate a large variety of answers to diverse user inputs.