4 citations · 6 across the 4 of their papers we have counts for
4 papers
Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification
Zihan Wang, Peiyi Wang, Houfeng Wang
Hierarchical text classification (HTC) is a challenging subtask of multi-label classification due to its complex taxonomic structure. Nearly all recent HTC works focus on how the l…
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
Zihan Wang, Peiyi Wang, Tianyu Liu +4
Hierarchical text classification (HTC) is a challenging subtask of multi-label classification due to its complex label hierarchy. Recently, the pretrained language models (PLM)have…
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification
Zihan Wang, Peiyi Wang, Lianzhe Huang +2
Hierarchical text classification is a challenging subtask of multi-label classification due to its complex label hierarchy. Existing methods encode text and label hierarchy separat…
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
Runlong Yu, Yuyang Ye, Qi Liu +4
Click-Through Rate (CTR) prediction is a core task in nowadays commercial recommender systems. Feature crossing, as the mainline of research on CTR prediction, has shown a promisin…