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Authors: Philippe Tamla 1 ; Florian Freund 1 ; Matthias Hemmje 1 and Paul Mc Mc Kevitt 2

Affiliations: 1 University of Hagen, Faculty of Mathematics and Computer Science, 58097 Hagen, Germany ; 2 Ulster University, Faculty of Arts, Humanities and Social Sciences, Londonderry BT48 7JL, North Ireland

Keyword(s): Named Entity Recognition, Semantic Text Analysis, Natural Language Processing, Knowledge Management System, Data Annotation, User Interface.

Abstract: In this research paper, the evaluation of a new system for machine learning-based Named Entity Recognition is presented. After introducing our approach supporting two fundamental tasks for training Named Entity Recognition models using machine learning (data cleanup and data annotation), our features, prototype and evaluation methodologies are described. Also, the results of our performed quantitative and qualitative experiments validating our approach and user interface are shown. Finally, our evaluation results are discussed to derive challenges for future work.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Tamla, P.; Freund, F.; Hemmje, M. and Mc Kevitt, P. (2022). Evaluation of a System for Named Entity Recognition in a Knowledge Management Ecosystem. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 19-31. DOI: 10.5220/0011374000003335

@conference{keod22,
author={Philippe Tamla. and Florian Freund. and Matthias Hemmje. and Paul Mc {Mc Kevitt}.},
title={Evaluation of a System for Named Entity Recognition in a Knowledge Management Ecosystem},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD},
year={2022},
pages={19-31},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011374000003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD
TI - Evaluation of a System for Named Entity Recognition in a Knowledge Management Ecosystem
SN - 978-989-758-614-9
IS - 2184-3228
AU - Tamla, P.
AU - Freund, F.
AU - Hemmje, M.
AU - Mc Kevitt, P.
PY - 2022
SP - 19
EP - 31
DO - 10.5220/0011374000003335
PB - SciTePress