UTD-SpRL: A Joint Approach to Spatial Role Labeling
Kirk E Roberts, Sanda M. Harabagiu · 2012
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 F1measure of 0.573 on relation recognition, best in the task and outperforming the previous best result on the same data set (0.500). 1