REVERSING A LEXICALLY BASED PARSER FOR GENERATION
作者:
ROBERTO CARACENI,
OLIVIERO STOCK,
期刊:
Applied Artificial Intelligence
(Taylor Available online 1988)
卷期:
Volume 2,
issue 2
页码: 149-174
ISSN:0883-9514
年代: 1988
DOI:10.1080/08839518808949907
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
It is practically advantageous and theoretically meaningful to base both a natural language generator and a parser on the same linguistic data. Neutrality of the representation can be advocated for all unification-based grammars. Yet the basic process in generation can also have several points in common with parsing. Specifically, not only is a unification-based approach proposed that produces from the initial semantic representation the sentence together with a functional structure but also the process is based on an adaptation of the concept of chart, which we call bi-chart (bidimensional chart). The chart is cast over the semantic representation and not over the string but has the same qualities as the classic one. The other relevant point here is that most of the data used in the process are distributed throughout the lexicon, and this results in a very flexible system.
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