A prerequisite for all higher level information extraction tasks is the identication of unknown names in text. Today, when large corpora can consist of billions of words, it is of utmost importance to develop accurate techniques for the automatic detection, extraction and categorization of named entities in these corpora. Although named entity recognition might be regarded a solved problem in some domains, it still poses a signicant challenge in others. In this work we focus on one of the more dicult tasks, the identication of protein names in text. This task presents several interesting diculties because of the named entities' variant structural characteristics, their sometimes unclear status as names, the lack of common standards and xed nomenclatures, and the specics of the texts in the molecular biology domain in which they appear. We describe how we approached these and other diculties in the implementation of Yapex, a system for the automatic identication of protein names i...