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.
Year
DOI
Venue
2022
10.18653/v1/2022.lchange-1.1
PROCEEDINGS OF THE 3RD INTERNATIONAL WORKSHOP ON COMPUTATIONAL APPROACHES TO HISTORICAL LANGUAGE CHANGE 2022 (LCHANGE 2022)
DocType
Volume
Citations 
Conference
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change
0
PageRank 
References 
Authors
0.34
0
19