German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues

Abstract

This paper presents a rule-based approach to Named Entity Recognition for the German language. The approach rests upon deep linguistic parsing and has already been applied to English and Russian. In this paper we present the first results of our system, ABBYY InfoExtractor, on GermEval 2014 Shared Task corpus. We focus on the main challenges of German NER that we have encountered when adapting our system to German and possible solutions for them.