Paper: AT&T: The Tag&Parse Approach to Semantic Parsing of Robot Spatial Commands

ACL ID S14-2014
Title AT&T: The Tag&Parse Approach to Semantic Parsing of Robot Spatial Commands
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

The Tag&Parse approach to semantic parsing first assigns semantic tags to each word in a sentence and then parses the tag sequence into a semantic tree. We use statistical approach for tagging, pars- ing, and reference resolution stages. Each stage produces multiple hypotheses which are re-ranked using spatial validation. We evaluate the Tag&Parse approach on a cor- pus of Robotic Spatial Commands as part of the SemEval Task6 exercise. Our sys- tem accuracy is 87.35% and 60.84% with and without spatial validation.