Practical grammar-based NLG from examples

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Abstract

We present a technique that opens up grammar-based generation to a wider range of practical applications by dramatically reducing the development costs and linguistic expertise that are required. Our method infers the grammatical resources needed for generation from a set of declarative examples that link surface expressions directly to the application's available semantic representations. The same examples further serve to optimize a run-time search strategy that generates the best output that can be found within an application-specific time frame. Our method offers substantially lower development costs than hand-crafted grammars for applicationspecific NLG, while maintaining high output quality and diversity.

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APA

DeVault, D., Traum, D., & Artstein, R. (2008). Practical grammar-based NLG from examples. In INLG 2008 - 5th International Natural Language Generation Conference, Proceedings of the Conference (pp. 77–85). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1708322.1708338

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