Ushio, Asahi
2024.
Representing relational knowledge with language models.
PhD Thesis,
Cardiff University.
Item availability restricted. |
Ushio, Asahi, Camacho Collados, Jose ORCID: https://orcid.org/0000-0003-1618-7239 and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2024. A RelEntLess benchmark for modelling graded relations between named entities. Presented at: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 17-22 March 2024. |
Ushio, Asahi, Zhou, Yi ORCID: https://orcid.org/0000-0001-7009-8515 and Camacho-Collados, Jose 2023. Efficient multilingual language model compression through vocabulary trimming. Presented at: The 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, 6 - 10 December 2023. Published in: Bouamor, Houda, Pino, Juan and Bali, Kalika eds. Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics, pp. 14725-14739. 10.18653/v1/2023.findings-emnlp.981 |
Ushio, Asahi, Alva Manchego, Fernando and Camacho Collados, Jose ORCID: https://orcid.org/0000-0003-1618-7239 2022. Generative language models for paragraph-level question generation. Presented at: Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, UAE, 7-11 December 2022. Published in: Goldberg, Y., Kozareva, Z. and Zhang, Y. eds. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp. 670-688. 10.18653/v1/2022.emnlp-main.42 |
Antypas, Dimosthenis, Ushio, Asahi, Camacho-Collados, Jose, Silva, Vitor, Neves, Leonardo and Barbieri, Francesco 2022. Twitter Topic Classification. Proceedings of the 29th International Conference on Computational Linguistics |
Camacho Collados, Jose ORCID: https://orcid.org/0000-0003-1618-7239, Liberatore, Federico ORCID: https://orcid.org/0000-0001-9900-5108 and Ushio, Asahi 2021. Back to the basics: a quantitative analysis of statistical and graph-based term weighting schemes for keyword extraction. Presented at: EMNLP 2021 Conference, online and at Punta Cana, Dominican Republic, 7-11 November 2021. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp. 8089-8103. |
Ushio, Asahi, Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176, Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 and Camacho Collados, Jose ORCID: https://orcid.org/0000-0003-1618-7239 2021. BERT is to NLP what AlexNet is to CV: can pre-trained language models identify analogies? Presented at: 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 1-6 August 2021. |
Ushio, Asahi, Camacho Collados, Jose ORCID: https://orcid.org/0000-0003-1618-7239 and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881 2021. Distilling relation embeddings from pre-trained language models. Presented at: 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic, 7-11 November 2021. |