A “small-data”-driven approach to dialogue systems for natural language human computer interaction

Abstract

This paper describes a data-driven approach to handling natural language interaction between humans and devices. This approach enables example-based definition and tuning of interaction scenarios. Actions and parameters can be easily configured, requiring no prior knowledge of natural language processing and no previous experience with this type of systems. The platform requires a small amount of language-dependent resources, making this approach ideal for creating multilingual natural language interfaces.