VIDEO DOI: https://doi.org/10.48448/d19m-x440

technical paper

IJCNLP-AACL 2022

November 22, 2022

Taipei City, Taiwan

Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?

Please log in to leave a comment

Downloads

Transcript English (automatic)

Next from IJCNLP-AACL 2022

Grammatical Error Correction Systems for Automated Assessment: Are They Susceptible to Universal Adversarial Attacks?
technical paper

Grammatical Error Correction Systems for Automated Assessment: Are They Susceptible to Universal Adversarial Attacks?

IJCNLP-AACL 2022

Vyas Raina
Vyas Raina

22 November 2022

Similar lecture

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena
findings / work in progress

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena

ACL 2022

+3Iacer CalixtoLetitia Parcalabescu
Letitia Parcalabescu and 5 other authors

23 May 2022

Stay up to date with the latest Underline news!

Select topic of interest (you can select more than one)

PRESENTATIONS

  • All Lectures
  • For Librarians
  • Resource Center
  • Free Trial
Underline Science, Inc.
1216 Broadway, 2nd Floor, New York, NY 10001, USA

© 2023 Underline - All rights reserved