Constrained Sequence-to-Tree Generation for Hierarchical Text Classification
At SIGIR 2022, the authors present a constrained Seq2Tree model that transforms hierarchical label taxonomies into preorder sequences and applies dynamic‑dictionary decoding to ensure label consistency, achieving superior hierarchical text classification performance on benchmark datasets and real‑world deployment within Alibaba Entertainment’s AI Brain.