activity
20192022
most citedImproving Machine Reading Comprehension via Adversarial Training

8 citations · 10 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2022

HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection

Zheng Chu, Ziqing Yang, Yiming Cui +2

The same multi-word expressions may have different meanings in different sentences. They can be mainly divided into two categories, which are literal meaning and idiomatic meaning.…

cs.CL2022

HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity

Zihang Xu, Ziqing Yang, Yiming Cui +1

This paper describes our system designed for SemEval-2022 Task 8: Multilingual News Article Similarity. We proposed a linguistics-inspired model trained with a few task-specific st…

cs.CL2022

TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models

Ziqing Yang, Yiming Cui, Zhigang Chen

Pre-trained language models have been prevailed in natural language processing and become the backbones of many NLP tasks, but the demands for computational resources have limited…

cs.CL2022

PERT: Pre-training BERT with Permuted Language Model

Yiming Cui, Ziqing Yang, Ting Liu

Pre-trained Language Models (PLMs) have been widely used in various natural language processing (NLP) tasks, owing to their powerful text representations trained on large-scale cor…

cs.CL20222 cited

Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training

Ziqing Yang, Yiming Cui, Zhigang Chen +1

Multilingual pre-trained language models (MPLMs) not only can handle tasks in different languages but also exhibit surprising zero-shot cross-lingual transferability. However, MPLM…

cs.CL2020

TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing

Ziqing Yang, Yiming Cui, Zhipeng Chen +4

In this paper, we introduce TextBrewer, an open-source knowledge distillation toolkit designed for natural language processing. It works with different neural network models and su…