A NLG-based Application for Walking Directions

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.

• Publication year

  2009

• Venue

  Annual Meeting of the Association for Computational Linguistics

• Publication date

  2009-08-03

• Fields of study

  Geography, Computer Science

• Identifiers
  DOI 10.3115/1667872.1667882
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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