Published January 31, 2024
| Version v1
Model
Open
Odeuropa information extraction system models version 2
Description
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
Files
de-model-v2.zip
Files
(3.3 GB)
| Name | Size | |
|---|---|---|
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md5:1fb2c256dab50b78da0beebee1714e10
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660.4 MB | Preview Download |
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md5:99eba3ddb803fce1df7e67d80c61307a
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402.3 MB | Preview Download |
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md5:c33880a2a5cec7127d910e85ae314691
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513.6 MB | Preview Download |
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md5:15ad0670b65cf0e661aa32820d4638ff
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660.4 MB | Preview Download |
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md5:9d03c0f3ba8b8ab69c8ea522abbf438c
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660.4 MB | Preview Download |
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md5:a1827c1b7cb7016b02c15f7092dbe518
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402.1 MB | Preview Download |
Additional details
Funding
References
- Menini, Stefano. Semantic Frame Extraction in Multilingual Olfactory Events. In Proceedings of LREC-Coling 2024