Integrating a large-scale, reusable lexicon with a natural language generator

Authors:
Hongyan Jing;Yael Dahan Netzer;Michael Elhadad;Kathleen R. McKeown
Affiliations:
Columbia University, New York, NY;Ben-Gurion University, Be'er-Sheva, Israel;Ben-Gurion University, Be'er-Sheva, Israel;Columbia University, New York, NY
Venue:
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Year:
2000

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Abstract

This paper presents the integration of a large-scale, reusable lexicon for generation with the FUF/SURGE unification-based syntactic realizer. The lexicon was combined from multiple existing resources in a semi-automatic process. The integration is a multi-step unification process. This integration allows the reuse of lexical, syntactic, and semantic knowledge encoded in the lexicon in the development of lexical chooser module in a generation system. The lexicon also brings other benefits to a generation system: for example, the ability to generate many lexical and syntactic paraphrases and the ability to avoid non-grammatical output.