SCHNÄPPER: A web toolkit for exploratory relation extraction

Abstract

We present SCHNÄPPER, a web toolkit for Exploratory Relation Extraction (ERE). The tool allows users to identify relations of interest in a very large text corpus in an exploratory and highly interactive fashion. With this tool, we demonstrate the easeof- use and intuitive nature of ERE, as well as its applicability to large corpora. We show how users can formulate exploratory, natural language-like pattern queries that return relation instances. We also show how automatically computed suggestions are used to guide the exploration process. Finally, we demonstrate how users create extractors with SCHNÄPPER once a relation of interest is identified.