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    Abstract:
 Toponym resolution is the task of linking place name instances in a text with spatial footprints, given the context in which they occur. Whereas a lot  of work on the evaluation of temporal resolution is ongoing (eg Setzer & Gaizauskas, 2000), to date no reference resource is available to evaluate competing algorithms for toponym resolution. It is thus argued that a shareable, reusable evaluation resource is necessary. To this end, a new proposal for the markup of toponyms in text corpora with their referents and an associated tool data methodology are presented: the Toponym Resolution Markup Language (TRML) is an XML-based markup language, and TAME, the toponym annotation markup editor, is a tool that implements it. A novel evaluation resource is described which comprises a large-scale reference gazetteer server and a human-annotated news corpus in which toponyms are associated with latitude/longitude coordinates of the location they refer to. The reliability of the annotation task is established by determining inter-annotator agreement of the human annotators.
 [Elsevier CEUS 30(4) 400-417. Special Issue on Geographic Information Retrieval.] 
    Links To Paper1st Link 
    Bibtex format@Article{EDI-INF-RR-0838,author	= {
  Jochen Leidner
},title   = {An Evaluation Dataset for the Toponym Resolution Task},journal = {Computers, Environment and Urban Systems},publisher = {Elsevier Science},year = 2006,month = {Jul},volume = {30},pages = {400-417},doi = {http://dx.doi.org/10.1016/j.compenvurbsys.2005.07.},url = {http://dx.doi.org/10.1016/j.compenvurbsys.2005.07.003},} |