Data · dataset · 2024
POS-tagging model: Stanza
Listed in Researchdata.se
Models Stanza is currently the default annotation tool used by Sparv.
Description
We provide two Stanza POS-tagging models. stanza_eval is trained on SUC3 with Talbanken_SBX_dev as dev set. The advantage of this model is that it can be evaluated, using Talbanken_SBX_test or SIC2.
The evaluation results are reported in the table below. Test set Exact match POS MSD Talbanken_SBX_test 0.973 0.983 0.988 SIC2 0.918 0.932 0.957 Read more about the evaluation here. stanza_full is trained on SUC3 + Talbanken_SBX_test + SIC2 with Talbanken_SBX_dev as dev set. We cannot evaluate the performance of this model, but we expect it to perform better than stanza_eval, or at least not worse.
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This is the model used by Sparv. We updated the "pretrain" file in spring 2025. This was a minor format change.
Using the models on your own Unzip the model you want to use and the "pretrain" file (which contains word2vec embeddings encoded in a format required by Stanza). Follow the instructions provided by Stanza
Links
Where it is published
- DOI doi.org/10.23695/ygw3-gf17 ↗
DOI / persistent id · from researchdata se
Catalogue records · 1
- OAI-PMH record api.researchdata.se/oai-pmh?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3A… ↗
metadata API · from researchdata se
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Humanities
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Researchdata.se | oai:researchdata.se:doi-10-23695-ygw3-gf17/0 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata se | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/description |
| license | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata se | connector:researchdata_se@1.0.0 | |
| title | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/title |