Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 21 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, frontiersin.org, zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.5%) to scientific vocabulary
Repository
Vossian Antonomasia
Basic Info
Statistics
- Stars: 10
- Watchers: 6
- Forks: 3
- Open Issues: 0
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Metadata Files
README.md
Vossian Antonomasia
Frank Fischer, Robert Jäschke, Elena Krotova, Michel Schwab, Jannik Strötgen
Automatic extraction of Vossian antonomasia (VA) from large newspaper corpora. Based on an idea by Frank Fischer (see Der Umblätterer).
Vossian antonomasia is a stylistic device which attributes a certain property to a person by naming another (more well-known, more popular) person as a reference point. For instance, when Jim Koch is described as "the Steve Jobs of Beer", certain qualities of Steve Jobs, be it entrepreneurship or persuasiveness, are assigned to Jim Koch, co-founder and chairman of the Boston Beer Company. VAs consist of three parts: a source (in our example "Steve Jobs") serves as paragon to elevate the target ("Jim Koch") by applying a modifier ("of Beer") that provides the corresponding context. VA is named after Gerardus Vossius (1577–1649), the Dutch classical scholar and author of rhetorical textbooks, who first distinguished and described VA as a separate phenomenon.
Dissertation Michel Schwab (July, 2024)
Schwab, M.: Detection, Extraction and Analysis of Vossian Antonomasia in Large Text Corpora Using Machine Learning. (DOI:10.18452/28987, PDF BibTeX)
ICNLSP (December, 2023)
Schwab, M., Jäschke, R., Fischer, F.: “Japan’s Answer to Mozart”: Automatic Detection of Generalized Patterns of Vossian Antonomasia (URL, PDF, BibTeX)
SIGHUM (May, 2023)
Schwab, M., Jäschke, R., Fischer, F.: “Who is the Madonna of Italian-American Literature?”: Extracting and Analyzing Target Entities of Vossian Antonomasia. (PDF, BibTeX)
DHd (March, 2023)
Schwab, M., Fischer, F.: »Die Greta Garbo der Leichtathletik«. Eine systematische Analyse der Modifier vossianischer Antonomasien mithilfe von Word Embeddings. (DOI:10.5281/zenodo.7715490, PDF, BibTeX)
- Slides DHd 2023, Trier (in German)
- Data and code
- Visualization of modifiers (recommended)
- Twitter thread
ICNLSP (December, 2022)
Schwab, M., Jäschke, R., Fischer, F.: “Der Frank Sinatra der Wettervorhersage”: Cross-Lingual Vossian Antonomasia Extraction. (URL, PDF, BibTeX)
Frontiers in Artificial Intelligence (2022)
Schwab, M., Jäschke, R., Fischer, F.: "The Rodney Dangerfield of Stylistic Devices": End-to-End Detection and Extraction of Vossian Antonomasia Using Neural Networks. (DOI:10.3389/frai.2022.868249, PDF, BibTeX)
EMNLP-IJCNLP 2019 (November, 2019)
Schwab, M., Jäschke, R., Fischer, F., Strötgen, J.: 'A Buster Keaton of Linguistics': First Automated Approaches for the Extraction of Vossian Antonomasia. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing. pp. 6239–6244. Association for Computational Linguistics 2019. (DOI:10.18653/v1/D19-1647, PDF, BibTeX, Poster)
- Timeline (recommended)
- Data and code
- Some statistics
- All found VA
DSH Paper (January, 2019)
Fischer, F., Jäschke, R.: ‘The Michael Jordan of greatness’—Extracting Vossian antonomasia from two decades of The New York Times, 1987–2007. Digital Scholarship in the Humanities. 2019. (DOI:10.1093/llc/fqy087, Preprint: arXiv:1902.06428)
- Some more statistics (recommended)
- Complete list of extracted VA (recommended)
- Twitter thread
TheOf Approach (2017–2019)
- Poster Lange Nacht der Wissenschaften (June, 2018)
- Data and code
First Approach (February, 2017)
- Slides DHd 2017, Bern (in German)
- Abstract DHd 2017, Bern (in German)
- Data and code
Further Ressources
Owner
- Name: Weltliteratur
- Login: weltliteratur
- Kind: organization
- Website: http://weltliteratur.net/
- Repositories: 10
- Profile: https://github.com/weltliteratur
A Black Market for the Digital Humanities
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: vossanto
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Robert
family-names: Jäschke
email: robert.jaeschke@hu-berlin.de
affiliation: Humboldt-Universität zu Berlin
orcid: 'https://orcid.org/0000-0003-3271-9653'
- given-names: Michel
family-names: Schwab
orcid: 'https://orcid.org/0000-0001-5569-6568'
- given-names: Frank
family-names: Fischer
affiliation: Freie Universität Berlin
orcid: 'https://orcid.org/0000-0003-2419-6629'
repository-code: 'https://github.com/weltliteratur/vossanto'
abstract: >-
Automatic extraction of Vossian antonomasia (VA) from
large newspaper corpora. This repository contains code, data and
analyses from several scholarly articles.
license: GPL-3.0
commit: c04c9f2b7e55fd628ec08c83ce88fc7aad25de42
date-released: '2024-05-06'
GitHub Events
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