Skip to Main Content
upf.edu
  • Studies
  • Research
  • Knowledge transfer
  • Services
  • University
Information addressed to ...
  • Prospective students
  • Alumni
  • International students
  • Companies and organizations
  • Media
Contact Online office
En
CG
Campus Global
TALN Natural Language Processing Research Group
  • People
  • Projects
  • Publications
    • TALN Google Scholar
    • Publications in PPC
    • PhD Theses
  • News
  • Resources
More ...
TALN Natural Language Processing Research Group
  • People
  • Projects
  • Publications
    • TALN Google Scholar
    • Publications in PPC
    • PhD Theses
  • News
  • Resources
upf.edu
  • Studies
  • Research
  • Services
  • University
Information addressed to...
  • Prospective students
  • Alumni
  • International students
  • Companies and organizations
  • Media
Contact
Menú
En
CG
Campus Global
  • inici /
  • Resources

Resources

  • Framework to Assess the Robustness of Text Classification Systems - BODEGA framework

  • Lexical Complexity Prediction and Simplification Dataset - MultiLS

  • Lexical Simplification Dataset for English, Spanish and Portuguese - TSAR 2022

  • Models and Synthetic Dataset for Fine-grained Emotion Classification - Emo Pillars

  • Multilingual Easy-to-Read Translation Datasets and Evaluation Scripts - MER-TRANS

  • Parlamentary British Sign Language and Catalan Sign Language Resources - BSL-Hansard and LSC-Hansard

  • Sign Language Gloss Embedding Models

  • Z-A parallel Catalan Sign Language video and Catalan time-aligned text dataset from parliamentary data. 

  • Z-MER-TRANS Evaluation Scripts

Connect
  • Contact
  • Campus
  • Online office
  • Work at UPF
Follow us
  • Agenda
  • Newsletters
UPF group
  • UPF-BSM
  • ESCI-UPF
  • Tecnocampus
  • BSE
  • more...
Networks
  • The Guild
  • Eutopia
  • A4U
  • ACUP
  • more...
 
HR Excellence in Research Eutopia

© Universitat Pompeu Fabra
Barcelona
T.(+34) 93 542 20 00

  • Legal notice
  • Accessibility
  • Technical note

We use cookies to deliver personalized content, analyze trends, administer the site, track user movements on the site, and collect demographic information about our user base as a whole. Accept all cookies for the best possible experience on our website or manage your preferences. Legal notice