metadata
license: cc-by-4.0
A Named Entity Recognition Model for Kazakh
- The model was inspired by the LREC 2022 paper KazNERD: Kazakh Named Entity Recognition Dataset.
- The original repository for the paper can be found at https://github.com/IS2AI/KazNERD.
Differences
While the original dataset contained tokens denoting speech disfluencies and hesitations (parenthesised) and background noise [bracketed], this model was trained on a version of the dataset where such tokens were removed. As a result, the number of sentences, tokens, and named entities (NEs) in the cleaned dataset changed. It is also likely that token numbers were calculated incorrectly in the original dataset and should have been given as 1,120,387 (Train), 136,983 (Valid), 134,540 (Test), and 1,391,910 (Total).
| Dataset | Unit | Train | Valid | Test | Total |
|---|---|---|---|---|---|
| KazNERD (Original) | Sentence | 90,228 (80.06%) | 11,167 (9.91%) | 11,307 (10.03%) | 112,702 (100%) |
| KazNERD (Cleaned) | Sentence | 88,540 (80.00%) | 11,067 (10.00%) | 11,068 (10.00%) | 110,675 (100%) |
| KazNERD (Original) | Token | 1,043,305 (80.11%) | 129,223 (9.92%) | 129,824 (9.97%) | 1,302,352 (100%) |
| KazNERD (Cleaned) | Token | 1,088,461 (80.04%) | 136,021 (10.00%) | 135,426 (9.96%) | 1,359,908 (100%) |
| KazNERD (Original) | NE | 109,342 (80.20%) | 13,483 (9.89%) | 13,508 (9.91%) | 136,333 (100%) |
| KazNERD (Cleaned) | NE | 106,148 (80.17%) | 13,189 (9.96%) | 13,072 (9.87%) | 132,409 (100%) |