SemEval-2012 Task 3: Spatial Role Labeling
Parisa Kordjamshidi, Steven J. Bethard, Marie‐Francine Moens · Lirias · 2012
This SemEval2012 shared task is based on a recently introduced spatial annotation scheme called Spatial Role Labeling. The Spatial Role Labeling task concerns the extraction of main components of the spatial semantics from natural language: trajectors, landmarks and spatial indicators. In addition to these major components, the links between them and the general-type of spatial relationships including region, direction and distance are targeted. The annotated dataset contains about 1213 sentences which describe 612 images of the CLEF IAPR TC-12 Image Benchmark. We have one participant system with two runs. The participant’s runs are compared to the system in (Kordjamshidi et al., 2011c) which is provided by task organizers.