»Who is the Madonna of Italian-American Literature?«: Extracting and Analyzing Target Entities of Vossian Antonomasia
M. Schwab, R. Jäschke, and F. Fischer. Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, page 110--115. Association for Computational Linguistics, (2023)
Abstract
In this paper, we present approaches for the automated extraction and disambiguation of a part of the stylistic device Vossian Antonomasia (VA), namely the target entity described by the expression. We model the problem as a coreference resolution and a question answering task and also combine both. To tackle the tasks at hand, we utilize state-of-the-art models in these areas. In addition, we visualize the connection between source and target entities of VA in a web demo to provide a deeper understanding of their mutual relationship.
%0 Conference Paper
%1 schwab2023madonna
%A Schwab, Michel
%A Jäschke, Robert
%A Fischer, Frank
%B Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
%D 2023
%I Association for Computational Linguistics
%K 2023 entity extraction myown ner nlp vossanto
%P 110--115
%T »Who is the Madonna of Italian-American Literature?«: Extracting and Analyzing Target Entities of Vossian Antonomasia
%U https://sighum.files.wordpress.com/2023/03/latech-clfl-2023-unofficial-proceedings.pdf
%X In this paper, we present approaches for the automated extraction and disambiguation of a part of the stylistic device Vossian Antonomasia (VA), namely the target entity described by the expression. We model the problem as a coreference resolution and a question answering task and also combine both. To tackle the tasks at hand, we utilize state-of-the-art models in these areas. In addition, we visualize the connection between source and target entities of VA in a web demo to provide a deeper understanding of their mutual relationship.
@inproceedings{schwab2023madonna,
abstract = {In this paper, we present approaches for the automated extraction and disambiguation of a part of the stylistic device Vossian Antonomasia (VA), namely the target entity described by the expression. We model the problem as a coreference resolution and a question answering task and also combine both. To tackle the tasks at hand, we utilize state-of-the-art models in these areas. In addition, we visualize the connection between source and target entities of VA in a web demo to provide a deeper understanding of their mutual relationship.},
added-at = {2023-04-05T17:54:51.000+0200},
author = {Schwab, Michel and Jäschke, Robert and Fischer, Frank},
biburl = {https://www.bibsonomy.org/bibtex/20d296e3a6918c536cca5b484cb7c660b/jaeschke},
booktitle = {Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature},
interhash = {f7686c445d9f504eb7f4c69865636423},
intrahash = {0d296e3a6918c536cca5b484cb7c660b},
keywords = {2023 entity extraction myown ner nlp vossanto},
pages = {110--115},
publisher = { Association for Computational Linguistics},
timestamp = {2023-04-18T11:38:05.000+0200},
title = {»Who is the Madonna of Italian-American Literature?«: Extracting and Analyzing Target Entities of Vossian Antonomasia},
url = {https://sighum.files.wordpress.com/2023/03/latech-clfl-2023-unofficial-proceedings.pdf},
year = 2023
}