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license: cc-by-4.0
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# A Named Entity Recognition Model for Kazakh
- The model was inspired by the [LREC 2022](https://lrec2022.lrec-conf.org/en/) paper [*KazNERD: Kazakh Named Entity Recognition Dataset*](https://aclanthology.org/2022.lrec-1.44).
- 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.
Removing the tokens caused some changes in the number of sentences, tokens, and named entities (NEs).

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%) |