Paper: RoBox: CCG with Structured Perceptron for Supervised Semantic Parsing of Robotic Spatial Commands

ACL ID S14-2084
Title RoBox: CCG with Structured Perceptron for Supervised Semantic Parsing of Robotic Spatial Commands
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

We use a Combinatory Categorial Gram- mar (CCG) parser with a structured per- ceptron 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.