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        <title>Scent and Sensibility: Perception Shifts in the Olfactory Domain</title>
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    <abstract>In this work, we investigate olfactory perception shifts, analysing how the description of the smells emitted by specific sources has changed over time. We first create a benchmark of selected smell sources, relying upon existing historical studies related to olfaction. We also collect an English text corpus by retrieving large collections of documents from freely available resources, spanning from 1500 to 2000 and covering different domains. We label such corpus using a system for olfactory information extraction inspired by frame semantics, where the semantic roles around the smell sources in the benchmark are marked. We then analyse how the roles describing Qualities of smell sources change over time and how they can contribute to characterise perception shifts, also in comparison with more standard statistical approaches.</abstract>
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%0 Conference Proceedings
%T Scent and Sensibility: Perception Shifts in the Olfactory Domain
%A Paccosi, Teresa
%A Menini, Stefano
%A Leonardelli, Elisa
%A Barzon, Ilaria
%A Tonelli, Sara
%Y Tahmasebi, Nina
%Y Montariol, Syrielle
%Y Dubossarsky, Haim
%Y Kutuzov, Andrey
%Y Hengchen, Simon
%Y Alfter, David
%Y Periti, Francesco
%Y Cassotti, Pierluigi
%S Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F paccosi-etal-2023-scent-sensibility
%X In this work, we investigate olfactory perception shifts, analysing how the description of the smells emitted by specific sources has changed over time. We first create a benchmark of selected smell sources, relying upon existing historical studies related to olfaction. We also collect an English text corpus by retrieving large collections of documents from freely available resources, spanning from 1500 to 2000 and covering different domains. We label such corpus using a system for olfactory information extraction inspired by frame semantics, where the semantic roles around the smell sources in the benchmark are marked. We then analyse how the roles describing Qualities of smell sources change over time and how they can contribute to characterise perception shifts, also in comparison with more standard statistical approaches.
%R 10.18653/v1/2023.lchange-1.15
%U https://aclanthology.org/2023.lchange-1.15
%U https://doi.org/10.18653/v1/2023.lchange-1.15
%P 143-152

Markdown (Informal)

[Scent and Sensibility: Perception Shifts in the Olfactory Domain](https://aclanthology.org/2023.lchange-1.15) (Paccosi et al., LChange 2023)

• Scent and Sensibility: Perception Shifts in the Olfactory Domain (Paccosi et al., LChange 2023)

ACL

• Teresa Paccosi, Stefano Menini, Elisa Leonardelli, Ilaria Barzon, and Sara Tonelli. 2023. Scent and Sensibility: Perception Shifts in the Olfactory Domain. In Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change, pages 143–152, Singapore. Association for Computational Linguistics.