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Number of items: 4.

Gajbhiye, Amit, Bouraoui, Zied, Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176 and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2024. AMenDeD: Modelling concepts by aligning mentions, definitions and decontextualised embeddings. Presented at: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Torino, Italy, 20-25 May 2024. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation. European Language Resources Association, pp. 801-811.
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Gajbhiye, Amit, Bouraoui, Zied, Li, Na, Chatterjee, Usashi, Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176 and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2023. What do deck chairs and sun hats have in common? Uncovering shared properties in large concept vocabularies. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP, Singapore, 6-10 December 2023. Published in: Bouamor, Houda, Pino, Juan and Bali, Kalika eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 10587–10596. 10.18653/v1/2023.emnlp-main.654
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Chatterjee, Usashi, Gajbhiye, Amit and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2023. Cabbage sweeter than cake? Analysing the potential of large language models for learning conceptual spaces. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP, Singapore, 6-10 December 2023. Published in: Bouamor, Houda, Pino, Juan and Bali, Kalika eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 11836–11842. 10.18653/v1/2023.emnlp-main.725

Gajbhiye, Amit, Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176 and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2022. Modelling commonsense properties using pre-trained bi-encoders. Presented at: 29th International Conference on Computational Linguistics (COLING), 12-17 October 2022. Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, pp. 3971-3983.
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