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Fictive motion extraction and classification

Article dans une revue avec comité de lecture
Author
EGOROVA, Ekaterina
97915 Department of Geography [Zürich]
MONCLA, Ludovic
GAIO, Mauro
29209 Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
ccCLARAMUNT, Christophe
13094 Institut de Recherche de l'Ecole Navale [IRENAV]
PURVES, Ross
97915 Department of Geography [Zürich]

URI
http://hdl.handle.net/10985/15035
DOI
10.1080/13658816.2018.1498503
Date
2018
Journal
International Journal of Geographical Information Science

Abstract

Fictive motion (e.g. ‘The highway runs along the coast’) is a pervasive phenomenon in language that can imply both a static and a moving observer. In a corpus of alpine narratives, it is used in three types of spatial descriptions: conveying the actual motion of the observer, describing a vista and communicating encyclopaedic spatial knowledge. This study takes a knowledge-based approach to develop rules for automated extraction and classification of these types based on an annotated corpus of fictive motion instances. In particular, we identify the differences in the set of concepts involved into the production of the three types of descriptions, followed by their linguistic operationalization. Based on that, we build a set of rules that classify fictive motion with an overall precision of 0.87 and recall of 0.71. The article highlights the importance of examining spatially rich, naturally occurring corpora for the lines of work dealing with the automated interpretation of spatial information in texts, as well as, more broadly, investigation of spatial language involved into various types of spatial discourse.

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