SpatialML: Annotation Scheme, Corpora, and Tools

SpatialML is an annotation scheme for marking up references to places in natural language. It covers both named and nominal references to places, grounding them where possible with geo-coordinates, including both relative and absolute locations, and characterizes relationships among places in terms of a region calculus. A freely available annotation editor has been developed for SpatialML, along with a corpus of annotated documents released by the Linguistic Data Consortium. Inter-annotator agreement on SpatialML extents is 77.0 F-measure on that corpus, and 92.3 F-measure on a

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Inderjeet Mani, Janet Hitzeman, Justin Richer, Dave Harris, Rob Quimby, Ben Wellner
• Keywords: Annotation Scheme, Available Annotation Editor, Education, LREC 2008, Nominal References