CyLit: An NLP-Powered Repository and Search Tool for Cyber Risk Literature, dated April 2023

Authors

Zhiyu Quan, PhD
Linfeng Zhang
Wing Fung Chong, ASA, PhD
Runhuan Feng, FSA, CERA, PhD

Description

To complement the limitations posed by the static nature of current survey papers in cyber risk literature and to facilitate cyber risk research, this project features a Natural Language Processing (NLP)-powered repository and search tool “CyLit” built by the authors.

• Improved accuracy and efficiency: NLP can help automate processes, such as clustering relevant articles, in addition, accurately interpreting and responding to users' search inquiries, saving time for users, and mitigating human search errors.
• Better insights: NLP can help extract valuable insights from large amounts of unstructured text data related to cyber.
• Enhanced summarization: NLP can generate summaries for cyber-related articles and identify key themes and topics for users.
• This report documents the current state of this tool, including its key functions, as well as the methods and technologies underlying the tool.

Materials

CyLit: An NLP-Powered Repository and Search Tool for Cyber Risk Literature

CyLit Natural Language Processing (NLP) – Powered Search Tool

Thank You

The researchers’ deepest gratitude goes to those without whose efforts this project could not have come to fruition: the Project Oversight Group and others for their diligent work overseeing development and analysis and reviewing and editing this report for accuracy and relevance.

Project Oversight Group members:
Himchan Jeong, FSA, PhD
Rasa McKean, ASA, MAAA, ACAS
Taha Mokfi
Jianxi Su, FSA, PhD

At the Society of Actuaries Research Institute:
Rob Montgomery, ASA, MAAA, Research Project Manager

Questions or Comments?

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If you have comments or questions, please send an email to research@soa.org.