We use a Combinatory Categorial Grammar (CCG) parser with a structured perceptron learner to address Shared Task 6 of SemEval-2014, Supervised Semantic Parsing of Robotic Spatial Commands. Our system reaches an accuracy of 79% ignoring spatial context and 87% using the spatial planner, showing that CCG can successfully be applied to the task.
['Kilian Evang', 'Johan Bos']
RoBox: CCG with Structured Perceptron for Supervised Semantic Parsing of Robotic Spatial Commands