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Wissensvermittlungen im Drama annotieren. Annotationsguideline
Andresen, Melanie; Krautter, Benjamin; Pagel, Janis; Reiter, Nils;
Andresen, Melanie; Krautter, Benjamin; Pagel, Janis; Reiter, Nils;
Wissensvermittlungen im Drama annotieren. Annotationsguideline
Bei diesem Dokument handelt es sich um die Annotationsguideline "Wissensvermittlungen im Drama annotieren" aus dem Projekt Q:TRACK, gefördert im DFG-Schwerpunktprogramm "Computational Literary Studies". DFG Schwerpunktprogramm SPP 2207 "Computational Literary Studies" Online: https://gepris.dfg.de/gepris/projekt/402743989 https://dfg-spp-cls.github.io/ Teilprojekt: "Quantitative Drama Analytics: Tracking Character Knowledge (Q:TRACK)" Online: https://gepris.dfg.de/gepris/projekt/424244162 https://dfg-spp-cls.github.io/projects_en/de/2020/01/24/TP-QTrack/ https://quadrama.github.io/
{"references": ["Melanie Andresen, Benjamin Krautter, Janis Pagel, Nils Reiter. Who Knows What in German Drama? A Composite Annotation Scheme for Knowledge Transfer. Annotation, Evaluation, and Analysis. Journal of Computational Literary Studies, 1, 2022. DOI: 10.48694/jcls.107."]}
computational literary studies, drama, SPP 2207
computational literary studies, drama, SPP 2207
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 119 downloads 103 citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average - 119views103downloads
citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
Views provided by UsageCountsdownloadsDownloads provided by UsageCounts
Downloads provided by UsageCounts 0
Average
Average
Average
119
103
Bei diesem Dokument handelt es sich um die Annotationsguideline "Wissensvermittlungen im Drama annotieren" aus dem Projekt Q:TRACK, gefördert im DFG-Schwerpunktprogramm "Computational Literary Studies". DFG Schwerpunktprogramm SPP 2207 "Computational Literary Studies" Online: https://gepris.dfg.de/gepris/projekt/402743989 https://dfg-spp-cls.github.io/ Teilprojekt: "Quantitative Drama Analytics: Tracking Character Knowledge (Q:TRACK)" Online: https://gepris.dfg.de/gepris/projekt/424244162 https://dfg-spp-cls.github.io/projects_en/de/2020/01/24/TP-QTrack/ https://quadrama.github.io/
{"references": ["Melanie Andresen, Benjamin Krautter, Janis Pagel, Nils Reiter. Who Knows What in German Drama? A Composite Annotation Scheme for Knowledge Transfer. Annotation, Evaluation, and Analysis. Journal of Computational Literary Studies, 1, 2022. DOI: 10.48694/jcls.107."]}