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ZENODO
Model . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Model . 2024
License: CC BY
Data sources: Datacite
ZENODO
Model . 2024
License: CC BY
Data sources: Datacite
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Odeuropa information extraction system models version 2

Authors: Menini, Stefano;

Odeuropa information extraction system models version 2

Abstract

This resource contains the BERT based models used by the information extraction system within the Odeuropa European project (https://odeuropa.eu/) These model can be used to extract from texts the presence of smell related words, smell sources , qualities, perceivers, circumstances, odor carriers, effects provoked by the smell, evoked odorants, places and time. We provide a different model for each language covered by the Odeuropa project: English, Italian, French, German, Dutch and Slovene The code of the smell information extraction system to use the models is available in the repository: https://github.com/Odeuropa/wp3-information-extraction-system-v2

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average