We are experiencing minor difficulties with our submission forms, which we are working to resolve. If you have any issues while submitting items, please contact us at dspace-lib@mit.edu.

Good-Enough Compositional Data Augmentation

Thumbnail Image
Download
Name

2020.acl-main.676.pdf

Description
Published version
Size

450.11 KB

Format

Adobe PDF

Checksum (MD5)

dca8efa489debe23350485df4e7fcf97

sword-2022-06-02T18:03:10.original.xml (130 B)
Original SWORD entry document
Author(s)
Andreas, Jacob
Date Issued
2020
Journal
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Publisher
Association for Computational Linguistics (ACL)
Citation
Andreas, Jacob. 2020. "Good-Enough Compositional Data Augmentation." Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution 4.0 International License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.18653/V1/2020.ACL-MAIN.676
PrivacyPermissionsAccessibilityContact us
Notify us about copyright concerns.