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Dataset . 2021
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Data sources: Datacite
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Dataset . 2024
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Dataset . 2024
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MONACO: Modes of Narration and Attribution Corpus

Research datakeyboard_double_arrow_right Dataset 09 Dec 2021Publisher:Zenodo
Authors: Florian Barth; Tillmann Dönicke; Benjamin Gittel; Luisa Gödeke; Anna Mareike Weimer; Anke Holler; Caroline Sporleder; +1 Authors

doi: 10.5281/zenodo.6467062 , 10.5281/zenodo.11164190 , 10.5281/zenodo.6467061

MONACO: Modes of Narration and Attribution Corpus

Abstract

MONACO: Modes of Narration and Attribution Corpus This corpus is constructed by the project group Modes of Narration and Attribution (MONA). We provide German literary texts annotated with three base phenomena: Generalising Interpretation (GI), Comment, and Non-fictional Speech (NfR), as well as Attribution on top of them. DFG Schwerpunktprogramm SPP 2207 "Computational Literary Studies" Online: https://gepris.dfg.de/gepris/projekt/402743989 https://dfg-spp-cls.github.io/ Teilprojekt: "Structuring Literature - Variants and Functions of Reflextive Passages in Narrative Fiction" Online: https://gepris.dfg.de/gepris/projekt/424264086 https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Structuring_Literature/ https://www.uni-goettingen.de/de/structuring+literature/626921.html

Source repository: https://gitlab.gwdg.de/mona/korpus-public/-/releases/v2.0

Related Organizations
Keywords

Narratology, Digital Humanities, Fictionality, Attribution, Annotation, Comment, Generalisation, Computational Literary Studies

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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14
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Digital Humanities and Cultural Heritage