TY  - CONF
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
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
UR  - https://hildok.bsz-bw.de/frontdoor/index/index/docId/290
UR  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:hil2-opus-3071
SN  - 978-3-934105-47-8
ER  -