arXiv · 1810.01468
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding
Abstract
We propose a model for tagging unstructured texts with an arbitrary number of terms drawn from a tree-structured vocabulary (i.e., an ontology). We treat this as a special case of sequence-to-sequence learning in which the decoder begins at the root node of an ontological tree and recursively elects to expand child nodes as a function of the input text, the current node, and the latent decoder state. In our experiments the proposed method outperforms state-of-the-art approaches on the important task of automatically assigning MeSH terms to biomedical abstracts.
Explore related subjects
Keep this discovery
Gaurav Singh, James Thomas, Iain J. Marshall, John Shawe-Taylor, Byron C. Wallace. 2018-10-02. Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. https://arxiv.org/abs/1810.01468
Cite the original work for its findings. Save a collection to share your selection of sources.