Abstract
This paper describes a deep-parsing approach to SemEval-2014 Task 6, a novel context-informed supervised parsing and semantic analysis problem in a controlled domain. The system comprises a hand-built rule-based solution based on a preexisting broad coverage deep grammar of English, backed up by a off-the-shelf data-driven PCFG parser, and achieves the best score reported among the task participants.
Cite
CITATION STYLE
Packard, W. (2014). UW-MRS: Leveraging a Deep Grammar for 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. 812–816). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/s14-2144
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