1 code implementation • IJCNLP 2019 • Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren
While existing hierarchical text classification (HTC) methods attempt to capture label hierarchies for model training, they either make local decisions regarding each label or completely ignore the hierarchy information during inference.
Ranked #1 on Text Classification on RCV1 (Macro F1 metric)
no code implementations • 27 Sep 2018 • Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren
We present an end-to-end reinforcement learning approach to hierarchical text classification where documents are labeled by placing them at the right positions in a given hierarchy.