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