Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering

Author:

Peng Boci,Liu Yongchao,Bo Xiaohe,Tian Sheng,Wang Baokun,Hong Chuntao,Zhang Yan

Publisher

Springer Nature Switzerland

Reference39 articles.

1. Banerjee, P., Pal, K.K., Mitra, A., Baral, C.: Careful selection of knowledge to solve open book question answering. In: ACL (2019)

2. Bisk, Y., Zellers, R., Bras, R.L., Gao, J., Choi, Y.: PIQA: reasoning about physical commonsense in natural language. In: AAAI (2020)

3. Brannon, W., et al.: Congrat: Self-supervised contrastive pretraining for joint graph and text embeddings. CoRR abs/2305.14321 (2023)

4. Brockschmidt, M.: Gnn-film: Graph neural networks with feature-wise linear modulation. In: ICML (2020)

5. Chandra, S., Mishra, P., Yannakoudakis, H., Nimishakavi, M., Saeidi, M., Shutova, E.: Graph-based modeling of online communities for fake news detection. CoRR abs/2008.06274 (2020)

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