📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Boosting Text Augmentation via Hybrid Instance Filtering Framework (2023)

First Author: Heng Yang

Attributed to: Transfer Optimisation System for Adaptive Automated Nature-Inspired Optimisation funded by UKRI FLF

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://aclanthology.org/2023.findings-acl.105.pdf

Type: Conference/Paper/Proceeding/Abstract