@inproceedings{menini-etal-2022-multilingual,
title = "A Multilingual Benchmark to Capture Olfactory Situations over Time",
author = {Menini, Stefano and
Paccosi, Teresa and
Tonelli, Sara and
Van Erp, Marieke and
Leemans, Inger and
Lisena, Pasquale and
Troncy, Raphael and
Tullett, William and
H{\"u}rriyeto{\u{g}}lu, Ali and
Dijkstra, Ger and
Gordijn, Femke and
J{\"u}rgens, Elias and
Koopman, Josephine and
Ouwerkerk, Aron and
Steen, Sanne and
Novalija, Inna and
Brank, Janez and
Mladenic, Dunja and
Zidar, Anja},
editor = "Tahmasebi, Nina and
Montariol, Syrielle and
Kutuzov, Andrey and
Hengchen, Simon and
Dubossarsky, Haim and
Borin, Lars",
booktitle = "Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.lchange-1.1",
doi = "10.18653/v1/2022.lchange-1.1",
pages = "1--10",
abstract = "We present a benchmark in six European languages containing manually annotated information about olfactory situations and events following a FrameNet-like approach. The documents selection covers ten domains of interest to cultural historians in the olfactory domain and includes texts published between 1620 to 1920, allowing a diachronic analysis of smell descriptions. With this work, we aim to foster the development of olfactory information extraction approaches as well as the analysis of changes in smell descriptions over time.",
}
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<abstract>We present a benchmark in six European languages containing manually annotated information about olfactory situations and events following a FrameNet-like approach. The documents selection covers ten domains of interest to cultural historians in the olfactory domain and includes texts published between 1620 to 1920, allowing a diachronic analysis of smell descriptions. With this work, we aim to foster the development of olfactory information extraction approaches as well as the analysis of changes in smell descriptions over time.</abstract>
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%0 Conference Proceedings
%T A Multilingual Benchmark to Capture Olfactory Situations over Time
%A Menini, Stefano
%A Paccosi, Teresa
%A Tonelli, Sara
%A Van Erp, Marieke
%A Leemans, Inger
%A Lisena, Pasquale
%A Troncy, Raphael
%A Tullett, William
%A Hürriyetoğlu, Ali
%A Dijkstra, Ger
%A Gordijn, Femke
%A Jürgens, Elias
%A Koopman, Josephine
%A Ouwerkerk, Aron
%A Steen, Sanne
%A Novalija, Inna
%A Brank, Janez
%A Mladenic, Dunja
%A Zidar, Anja
%Y Tahmasebi, Nina
%Y Montariol, Syrielle
%Y Kutuzov, Andrey
%Y Hengchen, Simon
%Y Dubossarsky, Haim
%Y Borin, Lars
%S Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F menini-etal-2022-multilingual
%X We present a benchmark in six European languages containing manually annotated information about olfactory situations and events following a FrameNet-like approach. The documents selection covers ten domains of interest to cultural historians in the olfactory domain and includes texts published between 1620 to 1920, allowing a diachronic analysis of smell descriptions. With this work, we aim to foster the development of olfactory information extraction approaches as well as the analysis of changes in smell descriptions over time.
%R 10.18653/v1/2022.lchange-1.1
%U https://aclanthology.org/2022.lchange-1.1
%U https://doi.org/10.18653/v1/2022.lchange-1.1
%P 1-10
Markdown (Informal)
[A Multilingual Benchmark to Capture Olfactory Situations over Time](https://aclanthology.org/2022.lchange-1.1) (Menini et al., LChange 2022)
ACL
- Stefano Menini, Teresa Paccosi, Sara Tonelli, Marieke Van Erp, Inger Leemans, Pasquale Lisena, Raphael Troncy, William Tullett, Ali Hürriyetoğlu, Ger Dijkstra, Femke Gordijn, Elias Jürgens, Josephine Koopman, Aron Ouwerkerk, Sanne Steen, Inna Novalija, Janez Brank, Dunja Mladenic, and Anja Zidar. 2022. A Multilingual Benchmark to Capture Olfactory Situations over Time. In Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, pages 1–10, Dublin, Ireland. Association for Computational Linguistics.