Skip to main content
Logo
  • Spanish
Menú Superior
  • Accesibility
  • Sitemap
  • Intranet
Enter the terms you wish to search for.

Menú home
  • About us
  • Research
  • Transfer
  • Teaching
  • Events
  • News
  • Resources
  1. Inicio
  2. Creating Domain Specific Embeddings to Work with Imbalanced Datasets in Automatic Extraction of Medication Names in Tweets

Creating Domain Specific Embeddings to Work with Imbalanced Datasets in Automatic Extraction of Medication Names in Tweets

Tipo
Conferences
Autor
Renzo Mauricio Rivera Zavala
Paloma Martínez Fernández
José Luis Martínez Fernández
Nombre
Proceedings of the BioCreative VII Challenge Evaluation Workshop
Ciudad
on-line
ISBN/ISSN
ISBN: 978-0-578-32368-8
Nacional / Internacional
Internacional
Enlaces
link to paper
Fecha
Mon, 11/08/2021 - 12:00 - Wed, 11/10/2021 - 12:00

Direction

Computer Science Department
Polytechnic School Universidad Carlos III de Madrid

Av. Universidad, 30, Sabatini Building, Leganés (Madrid).
Código postal: 28911

How to get here...

Contact

Tel: +34 91 624 9454

Fax: +34 91 624 9129

Group manager:
Paloma Martínez Fernández

  • Natural language processing
  • Web Accesibilty
  • Computer Science Department UC3M
  • HULAT members

Copyright Universidad Carlos III de Madrid