Data · dataset · 2019
Pretrained word and multi-sense embeddings for Estonian
Listed in DATADOI
Word and multi-sense embedding for Estonian trained on lemmatized etTenTen: Corpus of the Estonian Web.
Description
Word embeddings are trained with word2vec. Sense embeddings are trained with SenseGram.
Sense inventory is induced from word embeddings. Models were trained using various parameter settings. The values of architecture, number of dimensions, window size, minimum frequency threshold and number of iterations vary.
Links
Where it is published
- Dataverse dataset page datadoi.ee/dataset.xhtml?persistentId=doi%3A10.15155%2FRE-60 ↗
landing page · from datadoi ee
- DOI doi.org/10.15155/re-60 ↗
DOI / persistent id · from datadoi ee
Catalogue records · 1
- Dataverse API datadoi.ee/api/datasets/:persistentId/?persistentId=doi%3A10.15155%2FRE-60 ↗
metadata API · from datadoi ee
Topics
- Stated by source
- Other
- Inferred from text
- Lexicography and semantics 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DATADOI | doi:10.15155/RE-60 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:470408 | enrichment · datadoi ee | taxonomy-embedding@1.1.0 | title+keywords+description (75%) |
| concepts[field].dataverse_subject:other | source · datadoi ee | connector:datadoi_ee@1.0.0 | /subjects |
| created_date | source · datadoi ee | connector:datadoi_ee@1.0.0 | |
| description | source · datadoi ee | connector:datadoi_ee@1.0.0 | /description |
| publication_date | source · datadoi ee | connector:datadoi_ee@1.0.0 | |
| title | source · datadoi ee | connector:datadoi_ee@1.0.0 | /name |
| updated_date | source · datadoi ee | connector:datadoi_ee@1.0.0 | |
| version_label | source · datadoi ee | connector:datadoi_ee@1.0.0 |