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

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Abstract

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.

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APA

Evang, K., & Bos, J. (2014). RoBox: CCG with Structured Perceptron for Supervised Semantic Parsing of Robotic Spatial Commands. In 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings (pp. 482–486). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/s14-2084

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