Cross-lingual Learning of an Open-domain Semantic Parser
We propose a method for learning semantic CCG parsers by projecting annotations via a parallel corpus. The method opens an avenue towards cheaply creating multilingual semantic parsers mapping open-domain text to formal meaning representations. A first cross-lingually learned Dutch (from English) semantic parser obtains f-scores ranging from 42.99{\%} to 69.22{\%} depending on the level of label informativity taken into account, compared to 58.40{\%} to 78.88{\%} for the underlying source-language system. These are promising numbers compared to state-of-the-art semantic parsing in open domains.
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