A Vossian Antonomasia (VA) is a stylistic device used to describe a person (or, more generally, an entity) in terms of a well-known person and a modifying context. For instance, the Norwegian chess world champion Magnus Carlsen was described as “the Mozart of chess”. All VAs follow the pattern where a source (e.g., “Mozart”), is used to describe a target, (e.g., “Magnus Carlsen”), and the transfer of meaning is “channeled” through the use of the modifier “of chess”. Although this rhetorical figure is well-known, there has not yet been a dedicated study of targeted automatic or semi-automatic methods to generate and judge the appropriateness of VAs using large Knowledge Graphs (KGs) such as Wikidata. In our work, we propose the use of vector space embeddings – both KG-based and text-based – for producing VAs. For comparison, we contrast our findings with a purely LLM-based approach, wherein VAs are obtained from ChatGPT using a reasonably engineered prompt. We provide a publicly available GitHub repository for the implementation of our method and a website that allows testing the proposed methods.
%0 Conference Paper
%1 rockstroh2023semiautomatic
%A Rockstroh, Johanna
%A D’Ippolito, Giada
%A Lazzari, Nicolas
%A Oudshoorn, Anouk M
%A Purohit, Disha
%A Raoufi, Ensiyeh
%A Rudolph, Sebastian
%B Proceedings of the 4th Wikidata Workshop
%D 2023
%I CEUR Workshop Proceedings
%K generation llm vossanto
%T A is the B of C: (Semi)-Automatic Creation of Vossian Antonomasias
%U https://ceur-ws.org/Vol-3640/paper1.pdf
%V 3640
%X A Vossian Antonomasia (VA) is a stylistic device used to describe a person (or, more generally, an entity) in terms of a well-known person and a modifying context. For instance, the Norwegian chess world champion Magnus Carlsen was described as “the Mozart of chess”. All VAs follow the pattern where a source (e.g., “Mozart”), is used to describe a target, (e.g., “Magnus Carlsen”), and the transfer of meaning is “channeled” through the use of the modifier “of chess”. Although this rhetorical figure is well-known, there has not yet been a dedicated study of targeted automatic or semi-automatic methods to generate and judge the appropriateness of VAs using large Knowledge Graphs (KGs) such as Wikidata. In our work, we propose the use of vector space embeddings – both KG-based and text-based – for producing VAs. For comparison, we contrast our findings with a purely LLM-based approach, wherein VAs are obtained from ChatGPT using a reasonably engineered prompt. We provide a publicly available GitHub repository for the implementation of our method and a website that allows testing the proposed methods.
@inproceedings{rockstroh2023semiautomatic,
abstract = {A Vossian Antonomasia (VA) is a stylistic device used to describe a person (or, more generally, an entity) in terms of a well-known person and a modifying context. For instance, the Norwegian chess world champion Magnus Carlsen was described as “the Mozart of chess”. All VAs follow the pattern where a source (e.g., “Mozart”), is used to describe a target, (e.g., “Magnus Carlsen”), and the transfer of meaning is “channeled” through the use of the modifier “of chess”. Although this rhetorical figure is well-known, there has not yet been a dedicated study of targeted automatic or semi-automatic methods to generate and judge the appropriateness of VAs using large Knowledge Graphs (KGs) such as Wikidata. In our work, we propose the use of vector space embeddings – both KG-based and text-based – for producing VAs. For comparison, we contrast our findings with a purely LLM-based approach, wherein VAs are obtained from ChatGPT using a reasonably engineered prompt. We provide a publicly available GitHub repository for the implementation of our method and a website that allows testing the proposed methods.},
added-at = {2024-03-13T13:52:45.000+0100},
author = {Rockstroh, Johanna and D’Ippolito, Giada and Lazzari, Nicolas and Oudshoorn, Anouk M and Purohit, Disha and Raoufi, Ensiyeh and Rudolph, Sebastian},
biburl = {https://www.bibsonomy.org/bibtex/200c1a6bab13b1ca345bd8f65d62adaf4/jaeschke},
booktitle = {Proceedings of the 4th Wikidata Workshop },
interhash = {00dddabd1b4b135346d1a5167cae812c},
intrahash = {00c1a6bab13b1ca345bd8f65d62adaf4},
keywords = {generation llm vossanto},
publisher = {CEUR Workshop Proceedings},
timestamp = {2024-03-13T13:52:45.000+0100},
title = {A is the B of C: (Semi)-Automatic Creation of Vossian Antonomasias},
url = {https://ceur-ws.org/Vol-3640/paper1.pdf},
volume = 3640,
year = 2023
}