A Multilingual Benchmark to Capture Olfactory Situations over Time

Stefano Menini; Teresa Paccosi; Sara Tonelli; Marieke Van Erp; Inger Leemans; Pasquale Lisena; Raphael Troncy; William Tullett; Ali Hürriyetoglu; Ger Dijkstra; Femke Gordijn; Elias Jürgens; Josephine Koopman; Aron Ouwerkerk; Sanne Steen; Inna Novalija; Janez Brank; Dunja Mladenić; Anja Zidar

doi:10.18653/v1/2022.lchange-1.1

A Multilingual Benchmark to Capture Olfactory Situations over Time

Stefano Menini, Teresa Paccosi, Sara Tonelli, Marieke Van Erp, Inger Leemans, Pasquale Lisena, Raphael Troncy, William Tullett, Ali Hürriyetoglu, Ger Dijkstra, Femke Gordijn, Elias Jürgens, Josephine Koopman, Aron Ouwerkerk, Sanne Steen, Inna Novalija, Janez Brank, Dunja Mladenić, Anja Zidar

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

16 Citations (Scopus)

8 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change
Editors	Nina Tahmasebi, Syrielle Montariol, Andrey Kutuzov, Simon Hengchen, Haim Dubossarsky, Lars Borin
Publisher	Association for Computational Linguistics (ACL)
Number of pages	10
ISBN (Electronic)	9781955917421
DOIs	https://doi.org/10.18653/v1/2022.lchange-1.1
Publication status	Published - 27 May 2022
Externally published	Yes
Event	3rd International Workshop on Computational Approaches to Historical Language Change, LChange 2022 - Dublin, Ireland Duration: 26 May 2022 → 27 May 2022

Conference

Conference	3rd International Workshop on Computational Approaches to Historical Language Change, LChange 2022
Country/Territory	Ireland
City	Dublin
Period	26/05/22 → 27/05/22

Bibliographical note

Funding Information: This research has been supported by the European Union’s Horizon 2020 program project ODEUROPA7 under grant agreement number 101004469.

Publisher Copyright: © 2022 Association for Computational Linguistics.

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10.18653/v1/2022.lchange-1.1

2022.lchange-1.1Final published version, 997 KB

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Menini, S., Paccosi, T., Tonelli, S., Van Erp, M., Leemans, I., Lisena, P., Troncy, R., Tullett, W., Hürriyetoglu, A., Dijkstra, G., Gordijn, F., Jürgens, E., Koopman, J., Ouwerkerk, A., Steen, S., Novalija, I., Brank, J., Mladenić, D., & Zidar, A. (2022). A Multilingual Benchmark to Capture Olfactory Situations over Time. In N. Tahmasebi, S. Montariol, A. Kutuzov, S. Hengchen, H. Dubossarsky, & L. Borin (Eds.), Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.lchange-1.1

Menini, Stefano ; Paccosi, Teresa ; Tonelli, Sara et al. / A Multilingual Benchmark to Capture Olfactory Situations over Time. Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change. editor / Nina Tahmasebi ; Syrielle Montariol ; Andrey Kutuzov ; Simon Hengchen ; Haim Dubossarsky ; Lars Borin. Association for Computational Linguistics (ACL), 2022.

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title = "A Multilingual Benchmark to Capture Olfactory Situations over Time",

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.",

author = "Stefano Menini and Teresa Paccosi and Sara Tonelli and {Van Erp}, Marieke and Inger Leemans and Pasquale Lisena and Raphael Troncy and William Tullett and Ali H{\"u}rriyetoglu and Ger Dijkstra and Femke Gordijn and Elias J{\"u}rgens and Josephine Koopman and Aron Ouwerkerk and Sanne Steen and Inna Novalija and Janez Brank and Dunja Mladeni{\'c} and Anja Zidar",

note = "Funding Information: This research has been supported by the European Union{\textquoteright}s Horizon 2020 program project ODEUROPA7 under grant agreement number 101004469. Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 3rd International Workshop on Computational Approaches to Historical Language Change, LChange 2022 ; Conference date: 26-05-2022 Through 27-05-2022",

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doi = "10.18653/v1/2022.lchange-1.1",

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editor = "Nina Tahmasebi and Syrielle Montariol and Andrey Kutuzov and Simon Hengchen and Haim Dubossarsky and Lars Borin",

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Menini, S, Paccosi, T, Tonelli, S, Van Erp, M, Leemans, I, Lisena, P, Troncy, R, Tullett, W, Hürriyetoglu, A, Dijkstra, G, Gordijn, F, Jürgens, E, Koopman, J, Ouwerkerk, A, Steen, S, Novalija, I, Brank, J, Mladenić, D & Zidar, A 2022, A Multilingual Benchmark to Capture Olfactory Situations over Time. in N Tahmasebi, S Montariol, A Kutuzov, S Hengchen, H Dubossarsky & L Borin (eds), Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change. Association for Computational Linguistics (ACL), 3rd International Workshop on Computational Approaches to Historical Language Change, LChange 2022, Dublin, Ireland, 26/05/22. https://doi.org/10.18653/v1/2022.lchange-1.1

A Multilingual Benchmark to Capture Olfactory Situations over Time. / Menini, Stefano; Paccosi, Teresa; Tonelli, Sara et al.
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change. ed. / Nina Tahmasebi; Syrielle Montariol; Andrey Kutuzov; Simon Hengchen; Haim Dubossarsky; Lars Borin. Association for Computational Linguistics (ACL), 2022.

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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AU - Menini, Stefano

AU - Paccosi, Teresa

AU - Tonelli, Sara

AU - Van Erp, Marieke

AU - Leemans, Inger

AU - Lisena, Pasquale

AU - Troncy, Raphael

AU - Tullett, William

AU - Hürriyetoglu, Ali

AU - Dijkstra, Ger

AU - Gordijn, Femke

AU - Jürgens, Elias

AU - Koopman, Josephine

AU - Ouwerkerk, Aron

AU - Steen, Sanne

AU - Novalija, Inna

AU - Brank, Janez

AU - Mladenić, Dunja

AU - Zidar, Anja

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N2 - 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.

AB - 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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BT - Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change

A2 - Tahmasebi, Nina

A2 - Montariol, Syrielle

A2 - Kutuzov, Andrey

A2 - Hengchen, Simon

A2 - Dubossarsky, Haim

A2 - Borin, Lars

PB - Association for Computational Linguistics (ACL)

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Y2 - 26 May 2022 through 27 May 2022

ER -

Menini S, Paccosi T, Tonelli S, Van Erp M, Leemans I, Lisena P et al. A Multilingual Benchmark to Capture Olfactory Situations over Time. In Tahmasebi N, Montariol S, Kutuzov A, Hengchen S, Dubossarsky H, Borin L, editors, Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change. Association for Computational Linguistics (ACL). 2022 doi: 10.18653/v1/2022.lchange-1.1

A Multilingual Benchmark to Capture Olfactory Situations over Time

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