Social network analysis and co-occurrence : identifying the gaps

Dörpinghaus, Jens [Verfasser]

Social network analysis and co-occurrence : identifying the gaps

bibb.id	782200
bibb.participation	BIBB-Mitarbeiter	de
dc.contributor.author	Dörpinghaus, Jens [Verfasser]	de
dc.date.accessioned	2024-02-29T08:40:31Z
dc.date.available	2024-02-29T08:40:31Z
dc.date.issued	2022
dc.description.abstract	"Social Network Analysis is widely used in the humanities. However, historical and narrative texts in ancient languages are usually challenging for NLP (natural language processing) methods and AI (artificial intelligence) technologies developed for modern languages due to their complexity and missing models. In this article, we will focus on biblical texts. Here, linguistic resources are already available. However, no approaches for the automated linking of actors and other information, e.g. spatiality, are available. Thus, in this paper, we will analyze if co-occurrence might improve the linking of data in manual exegetical work. We will provide a detailed analysis and evaluation to identify the gaps for further research. The results of this paper are not limited to theology, but can be applied in all fields working with textual information." (Authors' abstract, BIBB-Doku)	de
dc.description.version	referiert	de
dc.format.extent	Seite 20-28	de
dc.format.medium	Elektronische Ressource	de
dc.format.medium	Sammelbandbeitrag	de
dc.identifier.uri	https://bibb-dspace.bibb.de/jspui/handle/BIBB/782200
dc.language.iso	en	de
dc.rdacarrier.code	cr	de
dc.rdacarrier.source	rdacontent	de
dc.rdacarrier.term	Online-Ressource	de
dc.rdacontent.code	txt	de
dc.rdacontent.source	rdacontent	de
dc.rdacontent.term	Text	de
dc.rdamedia.code	c	de
dc.rdamedia.source	rdacontent	de
dc.rdamedia.term	Computermedien	de
dc.relation.ispartof	Proceedings of the Workshop on Humanities-Centred Artificial Intelligence co-located with 45th German Conference on Artificial Intelligence, September 19 - September 23, 2022, Trier, Germany / Sylvia Melzer [Hrsg.] ; Stefan Thiemann [Hrsg.] ; Hagen Peukert [Hrsg.]
dc.rights	Namensnennung 4.0 International	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	370	de
dc.subject.other	Soziales Netzwerk	de
dc.subject.other	Netzwerkanalyse	de
dc.subject.other	Textanalyse	de
dc.title	Social network analysis and co-occurrence : identifying the gaps	de

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Proceedings of the Workshop on Humanities-Centred Artificial Intelligence co-located with 45th German Conference on Artificial Intelligence, September 19 - September 23, 2022, Trier, Germany / Sylvia Melzer [Hrsg.] ; Stefan Thiemann [Hrsg.] ; Hagen Peukert [Hrsg.]
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