Erratum: Measuring and Improving Consistency in Pretrained Language Models-Reference-Cited by-同舟云学术

Erratum: Measuring and Improving Consistency in Pretrained Language Models

Published:2021 Issue: Volume:9 Page:1407-1407
ISSN:2307-387X
Container-title:Transactions of the Association for Computational Linguistics
language:en
Short-container-title:

Author:

Elazar Yanai¹²,Kassner Nora³,Ravfogel Shauli¹⁴,Ravichander Abhilasha⁵,Hovy Eduard⁶,Schütze Hinrich⁷,Goldberg Yoav¹⁸

Affiliation:

1. Computer Science Department, Bar Ilan University, Israel

2. Allen Institute for Artificial Intelligence, United States. yanaiela@gmail.com

3. Center for Information and Language Processing (CIS), LMU Munich, Germany. kassner@cis.lmu.de

4. Allen Institute for Artificial Intelligence, United States. shauli.ravfogel@;gmail.com

5. Language Technologies Institute, Carnegie Mellon University, United States. aravicha@cs.cmu.edu

6. Language Technologies Institute, Carnegie Mellon University, United States. hovy@cs.cmu.edu

7. Center for Information and Language Processing (CIS), LMU Munich, Germany

8. Allen Institute for Artificial Intelligence, United States. yoav.goldberg@gmail.com

Abstract

Abstract During production of this paper, an error was introduced to the formula on the bottom of the right column of page 1020. In the last two terms of the formula, the n and m subscripts were swapped. The correct formula is:Lc=∑n=1k∑m=n+1kDKL(Qnri∥Qmri)+DKL(Qmri∥Qnri)The paper has been updated.

Publisher

MIT Press - Journals

Subject

Artificial Intelligence,Computer Science Applications,Linguistics and Language,Human-Computer Interaction,Communication

Link

https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_x_00455/1980899/tacl_x_00455.pdf

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