Feasibility Analysis of Entity Recognition as a Means to Create an Autonomous Technology Radar

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dc.identifier.uri http://dx.doi.org/10.15488/11256
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/11343
dc.contributor.author Schuh, Günther
dc.contributor.author Hicking, Jan
dc.contributor.author Stroh, Max-Ferdinand
dc.contributor.author Benning, Justus
dc.contributor.author Gnanaraj, Clinton
dc.contributor.editor Herberger, David
dc.contributor.editor Hübner, Marco
dc.date.accessioned 2021-08-19T08:32:17Z
dc.date.issued 2021
dc.identifier.citation Schuh, G.; Hicking, J.; Stroh, M.-F.; Benning, J.; Gnanaraj, C.: Feasibility Analysis of Entity Recognition as a Means to Create an Autonomous Technology Radar. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics : CPSL 2021. Hannover : publish-Ing., 2021, S. 299-307. DOI: https://doi.org/10.15488/11256
dc.description.abstract Keeping up to date with the latest technology trends is crucial task for manufacturing companies to remain successful on a globally competitive market. Designing a technology radar is an established, yet mostly manual, process for visualizing recent technology trends. The challenge of identifying and visualizing technologies is addressed by the project TechRad which uses machine learning to realize an autonomous technology scouting radar. One of its core functionalities is the identification of technologies in text documents. This is implemented via Natural Language Processing (NLP). This paper aims to summarize the challenges and possible solutions for using entity recognition to identify relevant technologies in text documents. The authors present an early stage of implementation of the entity recognition model. This contains the selection of Transfer Learning as a suitable method, the creation of a dataset consisting of different data sources, as well as the applied model training process. Finally, the performance of the chosen method is benchmarked and evaluated in a series of tests. eng
dc.language.iso eng
dc.publisher Hannover : publish-Ing.
dc.relation.ispartof https://doi.org/10.15488/11229
dc.relation.ispartof Proceedings of the Conference on Production Systems and Logistics : CPSL 2021
dc.rights CC BY 3.0 DE
dc.rights.uri https://creativecommons.org/licenses/by/3.0/de/
dc.subject Machine learning eng
dc.subject Technology Management eng
dc.subject Natural Language Processing eng
dc.subject Entity Recognition eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau
dc.title Feasibility Analysis of Entity Recognition as a Means to Create an Autonomous Technology Radar eng
dc.type bookPart
dc.type Text
dc.relation.essn 2701-6277
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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