Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem
Christian Nawroth, Felix Engel, Matthias Hemmje
2020
Abstract
In this paper, we present a knowledge engineering project in the medical domain. The objective of the project is to identify recent medical knowledge represented by emerging Named Entities. Hence, we introduce the concept of emerging Named Entities and present our studies on their occurrence and use in medical document corpora. We derive an approach for the emerging Named Entity Recognition utilizing textual and temporal features through Natural Language Processing and Machine Learning and present detailed evaluation results. Furthermore, we present a complementary system design that utilizes emerging Named Entity Recognition support several KE use cases in the medical domain.
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in Harvard Style
Nawroth C., Engel F. and Hemmje M. (2020). Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD; ISBN 978-989-758-474-9, SciTePress, pages 29-41. DOI: 10.5220/0010061200290041
in Bibtex Style
@conference{keod20,
author={Christian Nawroth and Felix Engel and Matthias Hemmje},
title={Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD},
year={2020},
pages={29-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010061200290041},
isbn={978-989-758-474-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD
TI - Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem
SN - 978-989-758-474-9
AU - Nawroth C.
AU - Engel F.
AU - Hemmje M.
PY - 2020
SP - 29
EP - 41
DO - 10.5220/0010061200290041
PB - SciTePress