Conference Paper

Learning to resolve geographical and temporal references in text.

DOI: 10.1145/2093973.2094020 Conference: 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2011, November 1-4, 2011, Chicago, IL, USA, Proceedings
Source: DBLP

ABSTRACT Geo-temporal information is pervasive over textual documents, since most of them contain references to particular locations, calendar dates, clock times or duration periods. An important text analytics problem is therefore related to resolving the place names and the temporal expressions referenced in the texts, i.e. linking the character strings in the documents that correspond to either locations or temporal instances, to the specific geospatial coordinates or the time intervals that they refer to. However, geo-temporal reference resolution presents several non-trivial problems to the area of text mining, due to the inherent ambiguity and contextual assumptions of natural language discourse.