Paper: A NLG-based Application for Walking Directions

ACL ID P09-4010
Title A NLG-based Application for Walking Directions
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2009
Authors

This work describes an online application that uses Natural Language Generation (NLG) methods to generate walking di- rections in combination with dynamic 2D visualisation. We make use of third party resources, which provide for a given query (geographic) routes and landmarks along the way. We present a statistical model that can be used for generating natural language directions. This model is trained on a corpus of walking direc- tions annotated with POS, grammatical information, frame-semantics and mark- up for temporal structure.