tailieunhanh - Báo cáo khoa học: "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. . | A NLG-based Application for Walking Directions Michael Roth and Anette Frank Department of Computational Linguistics Heidelberg University 69120 Heidelberg Germany mroth frank @ 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. 1 Introduction The purpose of route directions is to inform a person who is typically not familiar with his current environment of how to get to a designated goal. Generating such directions poses difficulties on various conceptual levels such as the planning of the route the selection of landmarks along the way . easily recognizable buildings or structures and generating the actual instructions of how to navigate along the route using the selected landmarks as reference points. As pointed out by Tom Denis 2003 the use of landmarks in route directions allows for more effective way-finding than directions relying solely on street names and distance measures. An experiment performed in Tom Denis work also showed that people tend to use landmarks rather than street names when producing route directions themselves. The application presented here is an early research prototype that takes a data-driven generation approach making use of annotated corpora collected in a way-finding study. In contrast to previously developed NLG systems in this area . Dale et. al 2002 one of our key features is the integration of a number of online resources to compute routes and to find salient landmarks. The information acquired from these resources can then be .