A Flexible Shallow Approach to Text Generation

In order to support the ecien t 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 benets of both are still limited. In order to improve this situation, we suggest and evaluate shallow generation methods associated with increased exibilit y. 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.

• Publication year

  1998

• Venue

  International Conference on Natural Language Generation

• Publication date

  1998-12-01

• Fields of study

  Linguistics, Computer Science

• Identifiers
  arXiv cs/9812018
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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