1. Ali, M.A., Sun, Y., Zhou, X., Wang, W., Zhao, X.: Antonym-synonym classification based on new sub-space embeddings. In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, pp. 6204–6211 (2019)
2. Bastos, A., Singh, K., Nadgeri, A., Shekarpour, S., Mulang, I.O., Hoffart, J.: Hopfe: knowledge graph representation learning using inverse hopf fibrations. In: Proceedings of the 30th ACM International Conference on Information and Knowledge Management, Virtual Event, CIKM 2021, Queensland, Australia, 1–5 November, pp. 89–99. ACM (2021)
3. Bordes, A., Usunier, N., García-Durán, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Proceedings of the 27th Annual Conference on Neural Information Processing Systems 2013, NIPS 2013, pp. 2787–2795 (2013)
4. Chen, X., Xu, L., Liu, Z., Sun, M., Luan, H.: Joint learning of character and word embeddings. In: Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, pp. 1236–1242. AAAI Press (2015)
5. Chen, Z., Feng, Y., Zhao, D.: Entailment graph learning with textual entailment and soft transitivity. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022, pp. 5899–5910 (2022)