A data-driven approach to understanding spoken route directions in human-robot dialogue

Abstract

In this paper, we present a data-driven chunking parser for automatic interpretation of spoken route directions into a route graph that is useful for robot navigation. Different sets of features and machine learning algorithms are explored. The results indicate that our approach is robust to speech recognition errors. Index Terms: spoken language understanding, route directions, human-robot interaction