CoocNet: a novel approach to multi-label text classification with improved label co-occurrence modeling

Y Li, J Shen, Z Mao - Applied Intelligence, 2024‏ - Springer
Multi-label text classification (MLTC) aims to assign one or more labels to each document.
Previous studies mainly use the label co-occurrence matrix obtained from the training set to …

MetaGA: Metalearning With Graph-Attention for Improved Long-Tail Item Recommendation

B Qin, Z Huang, Z Wu, C Wang… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
The recommendation of long-tail items has been a persistent issue in recommender system
research. The primary reason for this problem is that the model cannot learn better item …

Noisy Multi-Label Text Classification via Instance-Label Pair Correction

P Xu, M Song, L Liu, B Liu, H Sun… - Findings of the …, 2024‏ - aclanthology.org
In noisy label learning, instance selection based on small-loss criteria has been proven to
be highly effective. However, in the case of noisy multi-label text classification (NMLTC), the …