NERU: Named Entity Recognition for German
- In this paper, we present our Named Entity Recognition (NER) system for German – NERU (Named Entity Rules), which heavily relies on handcrafted rules as well as information gained from a cascade of existing external NER tools. The system combines large gazetteer lists, information obtained by comparison of different automatic translations and POS taggers. With NERU, we were able to achieve a score of 73.26% on the development set provided by the GermEval 2014 Named Entity Recognition Shared Task for German.
Author: | Daniel Weber, Josef Pötzl |
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URN: | https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-3114 |
Parent Title (English): | Workshop proceedings of the 12th edition of the KONVENS conference |
Document Type: | Conference Proceeding |
Language: | English |
Date of Publication (online): | 2014/11/25 |
Release Date: | 2014/11/25 |
Tag: | NER; Named entity recognition |
GND Keyword: | Computerlinguistik |
First Page: | 157 |
Last Page: | 162 |
PPN: | Link zum Katalog |
Institutes: | Fachbereich III / Informationswissenschaft und Sprachtechnologie |
DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
Collections: | KONVENS 2014 / Workshop Proceedings of the 12th KONVENS 2014 |
Licence (German): | ![]() |