Paper: Transforming Meaning Representation Grammars to Improve Semantic Parsing

ACL ID W08-2105
Title Transforming Meaning Representation Grammars to Improve Semantic Parsing
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2008
Authors

A semantic parser learning system learns to map natural language sentences into their domain-specific formal meaning rep- resentations, but if the constructs of the meaning representation language do not correspond well with the natural language then the system may not learn a good se- mantic parser. This paper presents ap- proaches for automatically transforming a meaning representation grammar (MRG) to conform it better with the natural lan- guage semantics. It introduces grammar transformation operators and meaning rep- resentation macros which are applied in an error-driven manner to transform an MRG while training a semantic parser learning system. Experimental results show that the automatically transformed MRGs lead to better learned semantic parsers which per- form comparable to th...