We are hosting a workshop at the Automated Knowledge Base Construction (AKBC) 
2022 Conference. This is a non-archival event and we welcome work in 
progress/published works.

Call for Abstracts
We encourage submissions of abstracts relevant to knowledge graphs, NLP, and 
broader financial/economics research that could benefit from the use of KGs or 
NLP. These submissions may be previously published papers, new research, or 
works in progress. Accepted submissions may be asked to present their research 
at a presentation, lighting talk, or panel during the conference. For more 
information on the conference, please visit our website.

Formatting guidelines
Length between ½ - 1 page (not including references)
PDF, Word, or Text file
Include all authors
Submit your abstract at https://finance-at-akbc.bubbleapps.io/submit 

Topics include but are not limited to
Using KGs to represent relationships among companies and industries
Automatic new industry and theme detection
Identifying and representing supply chains
Data sources and annotation for KGs in finance and economics
Economic value of the data produced by KGs
Knowledge graph entity hierarchy induction
Combining numerical and semantic information in KGs
Bootstrap KGs from public data sources other than Wikipedia

Committee Members
Dr. Ye Tian (University College London, Theia Insights)
Ben Jones (Nasdaq)
Dr. Gaurav Singh (Binance)
Dr. Migael Strydom (Theia Insights)
Dr. Pranava Madhyastha (City University of London)
Ioannis Dourats (Meta)
Dr. Lemin Wu (Theia Insights)
Pietro Lesci (University of Cambridge)
Nathan Burton (Theia Insights)
Caitlin Walsh (Theia Insights)

If you have any questions, please contact [email protected].
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