most citedFocus Is What You Need For Chinese Grammatical Error Correction

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 3 cited

Towards Visual Taxonomy Expansion

Tinghui Zhu, Jingping Liu, Jiaqing Liang +5

Taxonomy expansion task is essential in organizing the ever-increasing volume of new concepts into existing taxonomies. Most existing methods focus exclusively on using textual sem…

cs.CL2022

A Curriculum Learning Approach for Multi-domain Text Classification Using Keyword weight Ranking

Zilin Yuan, Yinghui Li, Yangning Li +3

Text classification is a very classic NLP task, but it has two prominent shortcomings: On the one hand, text classification is deeply domain-dependent. That is, a classifier traine…

cs.CL2022★ 4 cited

Focus Is What You Need For Chinese Grammatical Error Correction

Jingheng Ye, Yinghui Li, Shirong Ma +3

Chinese Grammatical Error Correction (CGEC) aims to automatically detect and correct grammatical errors contained in Chinese text. In the long term, researchers regard CGEC as a ta…

cs.IR2022

Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision

Sijie Cheng, Zhouhong Gu, Bang Liu +3

Taxonomies have been widely used in various domains to underpin numerous applications. Specially, product taxonomies serve an essential role in the e-commerce domain for the recomm…

cs.CL2022★ 1 cited

Can Pre-trained Language Models Interpret Similes as Smart as Human?

Qianyu He, Sijie Cheng, Zhixu Li +2

Simile interpretation is a crucial task in natural language processing. Nowadays, pre-trained language models (PLMs) have achieved state-of-the-art performance on many tasks. Howev…