Abstract
This work describes an online application that uses Natural Language Generation (NLG) methods to generate walking directions 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 directions annotated with POS, grammatical information, frame-semantics and markup for temporal structure. © 2009 ACL and AFNLP.
Cite
CITATION STYLE
Roth, M., & Frank, A. (2009). A NLG-based application for walking directions. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 37–40). https://doi.org/10.3115/1667872.1667882
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
