Abstract
SpaceEval (SemEval 2015 Task 8), which concerns spatial information extraction, builds on the spatial role identification tasks introduced in SemEval 2012 and used in SemEval 2013. Among the host of subtasks presented in SpaceEval, we participated in subtask 3a, which focuses solely on spatial relation extraction. To address the complexity of a MOVELINK, we decompose it into smaller relations so that the roles involved in each relation can be extracted in a joint fashion without losing computational tractability. Our system was ranked first in the official evaluation, achieving an overall spatial relation extraction F-score of 84.5%.
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CITATION STYLE
D’Souza, J., & Ng, V. (2015). UTD: Ensemble-Based Spatial Relation Extraction. In SemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings (pp. 862–869). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s15-2146
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