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Turning a technical documentation into a hypertext is a tedious and time-consuming task. Unfortunately, no active help for identifying relevant hyperlinks is provided in modern editing environment. We define in this paper an NLP approach to automatic hyperlink generation based on a constrained use of general lexical resources. We propose a formal model that estimates the lexical similarity between sources and potential destinations of hyperlinks. Local expansion mechanisms are defined to precisely control the integration of external knowledge for similarity estimation. We discuss the experiments conducted on a significant technical corpus.

Constraining the use of general lexical resources for automatic hyperlink generation