Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
When and Why Are Visual Landmarks Used in Giving Directions?
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Landmark extraction: a web mining approach
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
Landmarks in OpenLS — a data structure for cognitive ergonomic route directions
GIScience'06 Proceedings of the 4th international conference on Geographic Information Science
Prepositions in applications: A survey and introduction to the special issue
Computational Linguistics
Modeling spatial knowledge for generating verbal and visual route directions
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
Model for landmark highlighting in mobile web services
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia
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In order for automated navigation systems to operate effectively, the route instructions they produce must be clear, concise and easily understood by users. In order to incorporate a landmark within a coherent sentence, it is necessary to first understand how that landmark is conceptualised by travellers --- whether it is perceived as point-like, line-like or area-like. This paper investigates the viability of automatically classifying the conceptualisation of landmarks relative to a given city context. We use web data to learn the default conceptualisation of those landmarks, crucially analysing preposition and verb collocations in the classification.