@inproceedings{d9a663c2449848d9aa64925e49a0ecf4,
title = "Improving language-dependent named entity detection",
abstract = "Named Entity Recognition (NER) and Named Entity Linking (NEL) are two research areas that have shown big advancements in recent years. The majority of this research is based on the English language. Hence, some of these improvements are language-dependent and do not necessarily lead to better results when applied to other languages. Therefore, this paper discusses TOMO, an approach to language-aware named entity detection and evaluates it for the German language. This also required the development of a German gold standard dataset, which was based on the English dataset used by the OKE 2016 challenge. An evaluation of the named entity detection task using the web-based platform GERBIL was undertaken and results show that our approach produced higher F1 values than the other annotators did. This indicates that language-dependent features do improve the overall quality of the spotter.",
keywords = "Dataset development, Entity detection, Entity recognition, Gold standard, Language-dependent, NER",
author = "Gerald Petz and Werner Wetzlinger and Dietmar Nedbal",
note = "Publisher Copyright: {\textcopyright} 2017, IFIP International Federation for Information Processing. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 1st IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference on Machine Learning and Knowledge Extraction, CD-MAKE 2017 ; Conference date: 29-08-2017 Through 01-09-2017",
year = "2017",
doi = "10.1007/978-3-319-66808-6_22",
language = "English",
isbn = "9783319668079",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "330--345",
editor = "Tjoa, {A. Min} and Andreas Holzinger and {Peter Kieseberg}, Kieseberg and Edgar Weippl",
booktitle = "Machine Learning and Knowledge Extraction - 1st IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Proceedings",
address = "Germany",
}