Title
SemEval-2012 task 3: spatial role labeling
Abstract
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.
Year
Venue
Keywords
2012
SemEval@NAACL-HLT
task organizer,spatial annotation scheme,spatial role,clef iapr tc-12 image,semeval-2012 task,participant system,task concern,semeval2012 shared task,spatial relationship,spatial semantics,spatial indicator
Field
DocType
Citations 
SemEval,Annotation,Information retrieval,Computer science,Natural language,Artificial intelligence,Natural language processing,Semantics,Clef
Conference
24
PageRank 
References 
Authors
1.02
8
3
Name
Order
Citations
PageRank
Parisa Kordjamshidi114318.52
Steven Bethard291368.24
Marie-Francine Moens31750139.27