Paper: KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context

ACL ID S14-2066
Title KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

When executing commands, a robot has a certain level of contextual knowledge about the environment in which it oper- ates. Taking this knowledge into account can be beneficial to disambiguate com- mands with multiple interpretations. We present an approach that uses combina- tory categorial grammars for improving the semantic parsing of robot commands that takes into account the spatial context of the robot. The results indicate a clear improvement over non-contextual seman- tic parsing. This work was done in the context of the SemEval-2014 task on su- pervised semantic parsing of spatial robot commands.