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.

A Multilingual Benchmark to Capture Olfactory Situations over Time / Menini, S.; Paccosi, T.; Tonelli, S.; Van Erp, M.; Leemans, I.; Lisena, P.; Troncy, R.; Tullett, W.; H(\,. - (2022), pp. 1-10. ( 3rd International Workshop on Computational Approaches to Historical Language Change, LChange 2022 Dublin, Ireland May 2022) [10.18653/v1/2022.lchange-1.1].

A Multilingual Benchmark to Capture Olfactory Situations over Time

Menini, S.;Paccosi, T.;Tonelli, S.;
2022-01-01

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.
2022
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change
Dublin, Ireland
Association for Computational Linguistics
9781955917421
Menini, S.; Paccosi, T.; Tonelli, S.; Van Erp, M.; Leemans, I.; Lisena, P.; Troncy, R.; Tullett, W.; H(\,
A Multilingual Benchmark to Capture Olfactory Situations over Time / Menini, S.; Paccosi, T.; Tonelli, S.; Van Erp, M.; Leemans, I.; Lisena, P.; Troncy, R.; Tullett, W.; H(\,. - (2022), pp. 1-10. ( 3rd International Workshop on Computational Approaches to Historical Language Change, LChange 2022 Dublin, Ireland May 2022) [10.18653/v1/2022.lchange-1.1].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/448453
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