A Named Entity Recognition Model for Kazakh The model was inspired by the LREC 2022 paper KazNERD: Kazakh Named Entity Recognition Dataset . The model was trained for 3 epochs on kaznerd . The original repository for the paper can be found at https://github.com/IS2AI/KazNERD . How to use You can use this model with the Transformers pipeline for NER. Evaluation results on the validation and test sets Validation set Test set : : : : : : : : : : : : Precision Recall F 1 score Precision Recall F 1 score 96.58% 96.66% 96.62% 96.49% 96.86% 96.67% Model performance for the NE classes of the validation set NE Class Precision Recall F 1 score Support : : : : : : : : : : ADAGE 90.00% 47.37% 62.07% 19 ART 91.36% 95.48% 93.38% 155 CARDINAL 98.44% 98.37% 98.40% 2,878 CONTACT 100.00% 83.33% 90.91% 18 DATE 97.38% 97.27% 97.33% 2,603 DISEASE 96.72% 97.52% 97.12% 121 EVENT 83.24% 93.51% 88.07% 154 FACILITY 68.95% 84.83% 76.07% 178 GPE 98.46% 96.50% 97.47% 1,656 LANGUAGE 95.45% 89.36% 92.31% 47 LAW 87.50% 87.50% 87.50% 56 LOCATION 92.49% 93.81% 93.14% 210 MISCELLANEOUS 100.00% 76.92% 86.96% 26 MONEY 99.56% 100.00% 99.78% 455 NON HUMAN 0.00% 0.00% 0.00% 1 NORP 95.71% 95.45% 95.58% 374 ORDINAL 98.14%…
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