Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification

Benchmark Model Rank Results
hierarchical-multi-label-classification-on-eurlex57kHiDEC+HBM Loss#1Macro F1: 28.77±0.11Micro F1: 76.48±0.12
hierarchical-multi-label-classification-on-eurlex57kHPT+HBM Loss#2Macro F1: 28.70±0.22Micro F1: 75.78±0.15
hierarchical-multi-label-classification-on-eurlex57kHPT#3Macro F1: 28.46±0.26Micro F1: 75.54±0.20
hierarchical-multi-label-classification-on-eurlex57kHiDEC#4Macro F1: 27.91±0.11Micro F1: 75.14±0.19
hierarchical-multi-label-classification-on-new-york-times-annotated-corpusHiDEC+HBM Loss#1Macro F1: 70.69±0.19Micro F1: 80.52±0.18
hierarchical-multi-label-classification-on-new-york-times-annotated-corpusHPT+HBM Loss#2Macro F1: 70.23±0.18Micro F1: 80.42±0.12
hierarchical-multi-label-classification-on-new-york-times-annotated-corpusHiDEC#4Macro F1: 69.80±0.24Micro F1: 80.13±0.16
hierarchical-multi-label-classification-on-new-york-times-annotated-corpusHPT#5Macro F1: 69.69±0.49Micro F1: 80.04±0.23
hierarchical-multi-label-classification-on-rcv1-v2HiDEC+HBM Loss#1Macro F1: 71.47±0.20Micro F1: 87.81±0.09
hierarchical-multi-label-classification-on-rcv1-v2HiDEC#2Macro F1: 70.82±0.20Micro F1: 87.70±0.12
hierarchical-multi-label-classification-on-rcv1-v2HPT+HBM Loss#3Macro F1: 70.55±0.13Micro F1: 87.82±0.06
hierarchical-multi-label-classification-on-rcv1-v2HPT#4Macro F1: 70.23±0.31Micro F1: 87.82±0.14