111 citations · 259 across the 13 of their papers we have counts for
14 papers
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…
How Far are We from Robust Long Abstractive Summarization?
Huan Yee Koh, Jiaxin Ju, He Zhang +2
Abstractive summarization has made tremendous progress in recent years. In this work, we perform fine-grained human annotations to evaluate long document abstractive summarization…
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics
Huan Yee Koh, Jiaxin Ju, Ming Liu +1
Long documents such as academic articles and business reports have been the standard format to detail out important issues and complicated subjects that require extra attention. An…