@inproceedings{zwitter-vitez-etal-2022-extracting,
title = "Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme",
author = "Zwitter Vitez, Ana and
Brglez, Mojca and
Robnik {\v{S}}ikonja, Marko and
{\v{S}}kvorc, Tadej and
Vezovnik, Andreja and
Pollak, Senja",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.259/",
pages = "2430--2439",
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."
}
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%0 Conference Proceedings
%T Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme
%A Zwitter Vitez, Ana
%A Brglez, Mojca
%A Robnik Šikonja, Marko
%A Škvorc, Tadej
%A Vezovnik, Andreja
%A Pollak, Senja
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F zwitter-vitez-etal-2022-extracting
%X 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.
%U https://aclanthology.org/2022.lrec-1.259/
%P 2430-2439
Markdown (Informal)
[Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme](https://aclanthology.org/2022.lrec-1.259/) (Zwitter Vitez et al., LREC 2022)
ACL