Abstract
One of the main difficulties in building NLG systems is to produce a good requirement specification. A way to face this problem is by using a corpus to show the client the features of the system to be developed. In this paper we describe a method to elaborate that corpus and how can be used for a particular system. This method consists of five steps: text collection, input determination, text and input analysis, corpus construction, and pattern extraction. © Springer-Verlag Berlin Heidelberg 2002.
Cite
CITATION STYLE
Del Socorro Bernardos Galindo, M., & De Cea, G. A. (2001). A new approach in building a corpus for natural language generation systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2004, pp. 216–225). Springer Verlag. https://doi.org/10.1007/3-540-44686-9_24
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