Substructure Discovery in Commonsense Relations Using Graph Representation Learning

Author:

Shen Ke,Kejriwal Mayank

Publisher

Springer Nature Switzerland

Reference54 articles.

1. Bandyopadhyay, S.: Unsupervised Classification. Springer Publishing Company, Incorporated (2015)

2. Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Burges, C.J.C., Bottou, L., Welling, M., Ghahramani, Z., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems 26, pp. 2787–2795. Curran Associates, Inc. (2013)

3. Botschen, T., Sorokin, D., Gurevych, I.: Frame- and entity-based knowledge for common-sense argumentative reasoning. In: Proceedings of the 5th Workshop on Argument Mining, pp. 90–96. Association for Computational Linguistics, Brussels, Belgium (2018)

4. Chen, M., Tian, Y., Chang, K.-W., Skiena, S., Zaniolo, C.: Co-training embeddings of knowledge graphs and entity descriptions for cross-lingual entity alignment (2018). arXiv:1806.06478

5. Davis, E., Marcus, G.: Commonsense reasoning and commonsense knowledge in artificial intelligence. Commun. ACM 58, 92–103 (2015)

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