SemEval-2012 task 3: spatial role labeling

  • Authors:
  • Parisa Kordjamshidi;Steven Bethard;Marie-Francine Moens

  • Affiliations:
  • Katholieke Universiteit Leuven;University of Colorado;Katholieke Universiteit Leuven

  • Venue:
  • SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

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.