Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature |
| Pages | 110-115 |
| Number of pages | 6 |
| ISBN (electronic) | 9781959429548 |
| Publication status | Published - 2023 |
| Event | 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCH-CLfL 2023 - Dubrovnik, Croatia Duration: 5 May 2023 → 5 May 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.
ASJC Scopus subject areas
- Arts and Humanities(all)
- Language and Linguistics
- Social Sciences(all)
- Linguistics and Language
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Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. 2023. p. 110-115.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - “Who is the Madonna of Italian-American Literature?”
T2 - 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCH-CLfL 2023
AU - Schwab, Michel
AU - Jäschke, Robert
AU - Fischer, Frank
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85175457124&partnerID=8YFLogxK
U2 - 10.18653/v1/2023.latechclfl-1.12
DO - 10.18653/v1/2023.latechclfl-1.12
M3 - Conference contribution
AN - SCOPUS:85175457124
SP - 110
EP - 115
BT - Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Y2 - 5 May 2023 through 5 May 2023
ER -