Spatial Relation Extraction (SpatialRelEx)


Spatial relation extraction is the task of determining whether a given set of spatial elements are in a qualitative spatial relation (QSLINK), an orientation relation (OLINK), or a motion spatial relation (MOVELINK).

Our participating system in SpaceEval 2015, which achieved the best spatial relation extraction results, is described in the following paper.

Jennifer D'Souza and Vincent Ng. June 2015. UTD: Ensemble-Based Spatial Relation Extraction. In Proceedings of SemEval 2015.

Following which, the system was further improved by incorporating tree kernels and multi-pass sieves, enabling the use of an expanding parse tree as a novel structured feature for training MOVELINK classifiers. This system is described in the paper below.

Jennifer D'Souza and Vincent Ng. September 2015. Sieve-Based Spatial Relation Extraction with Expanding Parse Trees. In Proceedings of EMNLP.


This software provides code for two components:

GitHub: Here are SpElementEx and SpatialRelEx GitHub sites.

Funding Statement

This work was supported in part by NSF Grants IIS-1147644 and IIS-1219142. Any opinions, findings, or conclusions expressed above are those of the authors and do not necessarily reflect the views or official policies of NSF.


Questions, feedback, and suggestions for improvement are welcome via email contact.