Abstract | ||
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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 |
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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 Kordjamshidi | 1 | 143 | 18.52 |
Steven Bethard | 2 | 913 | 68.24 |
Marie-Francine Moens | 3 | 1750 | 139.27 |