Papers by Yi-Hsin Chen
ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification (2022.coling-1)
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| Challenge: | Graph neural networks (GNNs) are used to learn document representation from graph structures. |
| Approach: | They propose a unified model with a joint training mechanism to learn from document embeddings and contextual word interactions simultaneously. |
| Outcome: | The proposed model outperforms pure inductive GNNs and BERT-style models . the proposed model also has a joint training mechanism to learn from document embeddings and contextual word interactions simultaneously. |