Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks

1 code implementation • ACL 2020 • Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang

We first build individual graphs for each document and then use GNN to learn the fine-grained word representations based on their local structures, which can also effectively produce embeddings for unseen words in the new document.

Document Embedding General Classification +2