Case Retrieval Nets for Heuristic Lexicalization in Natural Language Generation

In this paper we discuss the use of Case Retrieval Nets, a particular memory model for implementing case-base reasoning solutions, for implementing a heuristic lexicalisation module within a natural language generation application. We describe a text generator for fairy tales implemented using a generic architecture, and we present examples of how the Case Retrieval Net solves the Lexicalization task.

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