Industrial and Professional Occupations Dataset (IPOD)

This repo includes:

• A Gazetteer of tokens and NE tags annotated by 3 domain experts
• A Corpus of 192,000 job titles crawled from Linkedin, with NE tags prefixed using BIOES schemes
• Title2Vec pre-trained job title embedding finetuned from ELMo. Checkpoint available for Download.

Citing IPOD

Please cite the following papers when using IPOD:

@article{liu2019ipod,
    title={IPOD: An Industrial and Professional Occupations Dataset and its Applications to Occupational Data Mining and Analysis},
    author={Junhua Liu and Yung Chuen Ng and Kristin L. Wood and Kwan Hui Lim},
    year={2019},
    journal={arXiv preprint arXiv:1910.10495}
}

@article{liu2020ipod,
    title={A Large-scale Industrial and Professional Occupation Dataset},
    author={Junhua Liu and Yung Chuen Ng and Kwan Hui Lim},
    year={2020},
    journal={arXiv preprint arXiv:2005.02780}
}