Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme

Ana Zwitter Vitez, Mojca Brglez, Marko Robnik Šikonja, Tadej Škvorc, Andreja Vezovnik, Senja Pollak

Abstract
The study of metaphors in media discourse is an increasingly researched topic as media are an important shaper of social reality and metaphors are an indicator of how we think about certain issues through references to other things. We present a neural transfer learning method for detecting metaphorical sentences in Slovene and evaluate its performance on a gold standard corpus of metaphors (classification accuracy of 0.725), as well as on a sample of a domain specific corpus of migrations (precision of 0.40 for extracting domain metaphors and 0.74 if evaluated only on a set of migration related sentences). Based on empirical results and findings of our analysis, we propose a novel metaphor annotation scheme containing linguistic level, conceptual level, and stance information. The new scheme can be used for future metaphor annotations of other socially relevant topics.
Anthology ID:
2022.lrec-1.259
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
LREC
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Publisher:
European Language Resources Association
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Pages:
2430–2439
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URL:
https://aclanthology.org/2022.lrec-1.259
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Cite (ACL):
Ana Zwitter Vitez, Mojca Brglez, Marko Robnik Šikonja, Tadej Škvorc, Andreja Vezovnik, and Senja Pollak. 2022. Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2430–2439, Marseille, France. European Language Resources Association.
Cite (Informal):
Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme (Zwitter Vitez et al., LREC 2022)
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https://preview.aclanthology.org/auto-file-uploads/2022.lrec-1.259.pdf
Code
 tadejskvorc/metaphor-detection
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