Computer Science – Computation and Language
Scientific paper
1998-12-16
Proc. 9th International Workshop on Natural Language Generation, Niagara-on-the-Lake, Canada, August 1998, 238-247
Computer Science
Computation and Language
LaTeX, 10 pages
Scientific paper
In order to support the efficient development of NL generation systems, two orthogonal methods are currently pursued with emphasis: (1) reusable, general, and linguistically motivated surface realization components, and (2) simple, task-oriented template-based techniques. In this paper we argue that, from an application-oriented perspective, the benefits of both are still limited. In order to improve this situation, we suggest and evaluate shallow generation methods associated with increased flexibility. We advise a close connection between domain-motivated and linguistic ontologies that supports the quick adaptation to new tasks and domains, rather than the reuse of general resources. Our method is especially designed for generating reports with limited linguistic variations.
Busemann Stephan
Horacek Helmut
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