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Number of items: 4.

Camacho Collados, Jose ORCID: https://orcid.org/0000-0003-1618-7239, Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176, Jameel, Shoaib and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2019. A latent variable model for learning distributional relation vectors. Presented at: IJCAI-19: International Joint Conference on Artificial Intelligence, Macau, China, 10-16 August 2019. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence Main track. IJCAI, pp. 4911-4917. 10.24963/ijcai.2019/682
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Jameel, Shoaib, Fu, Zihao, Shi, Bei, Lam, Wai and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2019. Word embedding as maximum a posteriori estimation. Presented at: AAAI-19: 33rd AAAI Conference on Artificial Intelligence, Honolulu, HI, USA, 27 January - 1 February 2019. Proceedings of the AAAI Conference on Artificial Intelligence. , vol.33 (1) Palo Alto, California: AAAI Press, pp. 6562-6569. 10.1609/aaai.v33i01.33016562
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Bouraoui, Zied, Jameel, Shoaib and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2017. Inductive reasoning in ontologies using conceptual spaces. Presented at: 31st AAAI Conference on Artificial Intelligence, San Francisco, CA, USA, 4-9 February 2017.
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Jameel, Shoaib and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2016. D-GloVe: A feasible least squares model for estimating word embedding densities. Presented at: 26th International Conference on Computational Linguistics, Osaka, Japan, 11-16 December 2016.
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