111 citations · 259 across the 13 of their papers we have counts for
4 papers · 1 filter
Recent Advances in Hierarchical Multi-label Text Classification: A Survey
Rundong Liu, Wenhan Liang, Weijun Luo +5
Hierarchical multi-label text classification aims to classify the input text into multiple labels, among which the labels are structured and hierarchical. It is a vital task in man…
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data
Xinzhe Li, Ming Liu, Shang Gao
This paper addresses the ethical concerns arising from the use of unauthorized public data in deep learning models and proposes a novel solution. Specifically, building on the work…
Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?
Xinzhe Li, Ming Liu, Shang Gao
For Pretrained Language Models (PLMs), their susceptibility to noise has recently been linked to subword segmentation. However, it is unclear which aspects of segmentation affect t…
A Survey on Out-of-Distribution Evaluation of Neural NLP Models
Xinzhe Li, Ming Liu, Shang Gao +1
Adversarial robustness, domain generalization and dataset biases are three active lines of research contributing to out-of-distribution (OOD) evaluation on neural NLP models. Howev…