"LEDAC: Optimizing the Performance of the Automatic Classification of Legal ..."

Víctor Labrador et al. (2020)

> Home

Details and statistics

DOI: 10.5220/0009421001810188

access: closed

type: Conference or Workshop Paper

metadata version: 2020-06-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iceis/LabradorPGM20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iceis/LabradorPGM20
Víctor Labrador, Álvaro Peiró, Ángel Luís Garrido, Eduardo Mena:
LEDAC: Optimizing the Performance of the Automatic Classification of Legal Documents through the Use of Word Embeddings. ICEIS (1) 2020: 181-188

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.