Published May 23, 2022 | Version v1

FiNER Paper Embeddings

Authors/Creators

  • 1. EY AI Centre of Excellence in Document Intelligence, NCSR "Demokritos" and Department of Informatics, Athens University of Economics and Business

Description

Embeddings for FiNER: Financial Numeric Entity Recognition for XBRL Tagging

Files

Files (326.6 MB)

Name Size
md5:d32c8214ea9354faace264847c9098a7
28.1 MB Download
md5:cce725714e175b2c8bf1dd709bfeee15
28.1 MB Download
md5:a3350e2a83f04e8852a9591cf2774c5a
28.1 MB Download
md5:a9af42f1e434574e587c1766d0c68a85
80.8 MB Download
md5:389e363cf3e3d228691f43df1b8b07d4
80.8 MB Download
md5:e8c29dc95993d2b192cf6a0f330aea37
80.8 MB Download