
This is a repository containing the data and code for our poster "Kombinieren statt neu trainieren. Zur automatisierten Erkennung diegetischen räumlichen Vokabulars mit Hilfe existierender Annotationen und Classifier" addressing the recognition of diegetic spatial vocabulary presented at DHd2026 in Vienna. DFG Priority Program SPP 2207 “Computational Literary Studies“Online: https://gepris.dfg.de/gepris/projekt/402743989 https://dfg-spp-cls.github.io/ Subproject: "Computational Approaches to Narrative Space in 19th and 20th Century Novels" (CANSpiN)Online: https://gepris.dfg.de/gepris/projekt/508056813 https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Computational_Approaches_to_Narrative_Space https://www.canspin.uni-rostock.de
Digital Humanities, DHd2026, CANSpiN, Computational Literary Studies, SPP 2207
Digital Humanities, DHd2026, CANSpiN, Computational Literary Studies, SPP 2207
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| 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 |
