BERT4LossPrediction Software Package
The following package
software tool source code in Python
was developed based on the project supported by the Casualty Actuarial Society (CAS) on Framework of BERT-Based NLP Models for Frequency and Severity in Insurance Claims,
a paper to be published in Variance, the Casualty Actuarial Society Research Journal:
Shuzhe Xu, Vajira Manathunga, and
Don Hong,
Framework of BERT-Based NLP Models for Frequency and Severity in Insurance Claims,
Variance, to appear.
The following relative paper published in the journal of Insurance: Mathematics and Economics
recently is for your reference if you are interested in using BERT-based NLP Techniques for actuarial modeling:
Shuzhe Xu, Chuanlong Zhang, Don Hong,
BERT BASED NLP TECHNIQUES FOR CLASSIFICATION AND SEVERITY MODELING IN BASIC WARRANTY DATA STUDY,
Insurance: Mathematics and Economics, Volume 107 (2022), 57-67.
DOI.
Please send your comment to Don Hong or Shuzhe Xu.
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