Extraction Patterns for Information Extraction Tasks: A Survey

Abstract

Information Extraction systems rely on a set of extraction patterns that they use in order to retrieve from each docu-ment the relevant information. In this paper we survey the various types of extraction patterns that are generated by ma-chine learning algorithms. We identify three main categories of patterns, which cover a variety of application domains, and we compare and contrast the patterns from each category.