vossanto

Vossian Antonomasia

https://github.com/weltliteratur/vossanto

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
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  • DOI references
    Found 21 DOI reference(s) in README
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    Links to: arxiv.org, frontiersin.org, zenodo.org
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  • Scientific vocabulary similarity
    Low similarity (7.5%) to scientific vocabulary
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Repository

Vossian Antonomasia

Basic Info
  • Host: GitHub
  • Owner: weltliteratur
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 42.4 MB
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Created over 9 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

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)

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)

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)

TheOf Approach (2017–2019)

First Approach (February, 2017)

Further Ressources

Owner

  • Name: Weltliteratur
  • Login: weltliteratur
  • Kind: organization

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'

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