TY - CHAP U1 - Konferenzveröffentlichung A1 - Hermann, Martin A1 - Hochleitner, Michael A1 - Kellner, Sarah A1 - Preissner, Simon A1 - Zhekova, Desislava T1 - Nessy: A Hybrid Approach to Named Entity Recognition for German T2 - Workshop proceedings of the 12th edition of the KONVENS conference N2 - In this paper we present Nessy (Named Entity Searching System) and its application to German in the context of the GermEval 2014 Named Entity Recognition Shared Task (Benikova et al., 2014a). We tackle the challenge by using a combination of machine learning (Naive Bayes classification) and rule-based methods. Altogether, Nessy achieves an F-score of 58.78% on the final test set. KW - Computerlinguistik KW - NER KW - Named entity recognition Y1 - 2014 U6 - https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-3071 UN - https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-3071 SP - 139 EP - 143 ER -