Wide Coverage Symbolic Surface Realization
نویسنده
چکیده
Recent evaluation techniques applied to corpusbased systems have been introduced that can predict quantitatively how well surface realizers will generate unseen sentences in isolation. We introduce a similar method for determining the coverage on the Fuf/Surge symbolic surface realizer, report that its coverage and accuracy on the Penn TreeBank is higher than that of a similar statistics-based generator, describe several bene ts that can be used in other areas of computational linguistics, and present an updated version of Surge for use in the NLG community.
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