Language Models Fine-Tuning for Automatic Format Reconstruction of SEC Financial Filings

Language Models Fine-Tuning for Automatic Format Reconstruction of SEC Financial Filings

The analysis of financial reports is a crucial task for investors and regulators, especially the mandatory annual reports (10-K) required by the SEC (Securities and Exchange Commission) that provide crucial information about a public company in the American stock market. Although SEC suggests a spec...

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Bibliographic Details
Main Authors: Gianfranco Lombardo, Giuseppe Trimigno, Mattia Pellegrino, Stefano Cagnoni
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
SEC filings
deep learning
transformer
document reconstruction
topic detection
stock market
Online Access:https://ieeexplore.ieee.org/document/10445214/

Internet

https://ieeexplore.ieee.org/document/10445214/

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