Tytuł pozycji:
Job offers classifiers for ISCO and KZiS 2023
Repository contains models used in the paper Multilingual hierarchical classification of job advertisements for job vacancy statistics
How to use: https://github.com/OJALAB/paper-job-ads-classifier
Models
Linear models:
- linear-bottom-2024.zip
- linear-top-2024.zip
Transformer models based on Polish data (trained with HerBERT-base and HerBERT-large)
- transformer-bottom-base-2024.zip
- transformer-bottom-large-2024.tar.gz (with .partaa, partb)
- transformer-top-base-2024.zip
- transformer-top-large-2024.tar.gz (with .partaa, partb)
Transformer models based on Polish data (trained with xlm-RoBERTa-base and xlm-RoBERTa-large)
- transformer-bottom-base-rob-2024.zip
- transformer-bottom-large-rob-2024.tar.gz (with .partaa, partb)
- transformer-top-base-rob-2024.zip
- transformer-top-large-rob-2024.tar.gz (with .partaa, partb)
Transformer models based on multilingual data (Polish and English; trained on xlm-RoBERTa-base only)
- transformer-bottom-rob-2024-argos.zip -- trained on dataset translated with Argos
- transformer-bottom-rob-2024-google.zip -- trained on dataset translated with Google Translate
- transformer-top-rob-2024-argos.zip -- trained on dataset translated with Argos
- transformer-top-rob-2024-google.zip -- trained on dataset translated with Google Translate
Transformer models based on multilingual data (24 languages; trained on xlm-RoBERTa-base only)
- transformer-multi-bottom-2024.zip
- transformer-multi-top-2024.zip
Excel file with information about the quality of classifications:
