widget:
- text: Delphi Invest Beratungs- und Beteiligungs GmbH.
- text: Art-Invest PCS GmbH & Co. geschlossene Investment KG
- text: Stiftung Älter werden in Eching
- text: Blinden- und Sehbehindertenverein Mülheim an der Ruhr e. V
- text: Therapiezentrum Braun GdbR
- text: Gothaer Finanzholding Aktiengesellschaft
- text: HGH Media for Markets UG (haftungsbeschränkt)
- text: Katholische Kirchengemeinde St. Philippus und Jakobus Ershausen
- text: BürgerEnergie Tauberfranken 3 eG
- text: Löwenrot-Gymnasium in freier Trägerschaft gGmbH
- text: Frank Marx Finanz- und Versicherungsmakler e.K.
- text: Hohenwegener Viehgilde von 1841 VVaG
- text: KME SE
- text: Stihl Vermögensverwaltung OHG
- text: Stiftung St. Jakob
- text: MERKUR PRIVATBANK KGaA
- text: >-
Menold Bezler Rechtsanwälte Steuerberater Wirtschaftsprüfer Partnerschaft
mbB
- text: >-
ZRN, Zentrum für Radiologie und Nuklearmedizin Rheinland, Prof. Dr. Dr.
Freudenberg - Facharzt für Nuklearmedizin – sowie Prof. Dr. Wieder
-Facharzt für Radiologie und Facharzt für Nuklearmedizin - Partnerschaft
- text: Breitenburger Milchzentrale eG
- text: Li.Me.Ti EWIV
- text: Bantleon Global Challenges Paris Aligned Index-Fonds
- text: maam AG
- text: Westfleisch SCE mit beschränkter Haftung
- text: KiNiKi gemeinnützige Aktiengesellschaft
model-index:
- name: Sociovestix/lenu_DE
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: lenu
type: Sociovestix/lenu
config: DE
split: test
revision: f4d57b8d77a49ec5c62d899c9a213d23cd9f9428
metrics:
- type: f1
value: 0.9658910200240158
name: f1
- type: f1
value: 0.6261829875501588
name: f1 macro
args:
average: macro
LENU - Legal Entity Name Understanding for Germany
A German Bert (uncased) model fine-tuned on German legal entity names (jurisdiction DE) from the Global Legal Entity Identifier (LEI) System with the goal to detect Entity Legal Form (ELF) Codes.
in collaboration with
Model Description
The model has been created as part of a collaboration of the Global Legal Entity Identifier Foundation (GLEIF) and Sociovestix Labs with the goal to explore how Machine Learning can support in detecting the ELF Code solely based on an entity's legal name and legal jurisdiction. See also the open source python library lenu, which supports in this task.
The model has been trained on the dataset lenu, with a focus on german legal entities and ELF Codes within the Jurisdiction "DE".
- Developed by: GLEIF and Sociovestix Labs
- License: Creative Commons (CC0) license
- Finetuned from model [optional]: dbmdz/bert-base-german-uncased
- Resources for more information: Press Release
Uses
An entity's legal form is a crucial component when verifying and screening organizational identity. The wide variety of entity legal forms that exist within and between jurisdictions, however, has made it difficult for large organizations to capture legal form as structured data. The Jurisdiction specific models of lenu, trained on entities from GLEIF’s Legal Entity Identifier (LEI) database of over two million records, will allow banks, investment firms, corporations, governments, and other large organizations to retrospectively analyze their master data, extract the legal form from the unstructured text of the legal name and uniformly apply an ELF code to each entity type, according to the ISO 20275 standard.
Licensing Information
This model, which is trained on LEI data, is available under Creative Commons (CC0) license. See gleif.org/en/about/open-data.
Recommendations
Users should always consider the score of the suggested ELF Codes. For low score values it may be necessary to manually review the affected entities.