We present a joint approach for recognizing spatial roles in SemEval-2012 Task 3. Candidate spatial relations, in the form of triples, are heuristically extracted from sentences with high recall. The joint classification of spatial roles is then cast as a binary classification over the candidates. This joint approach allows for a rich feature set based on the complete relation instead of individual relation arguments. Our best official submission achieves an F 1measure of 0.573 on relation

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... nition, best in the task and outperforming the previous best result on the same data set (0.500).