Ushio, Asahi, Camacho Collados, Jose  ORCID: https://orcid.org/0000-0003-1618-7239 and Schockaert, Steven  ORCID: https://orcid.org/0000-0002-9256-2881
      2025.
      
      RelBERT: Embedding relations with language models.
      Artificial Intelligence
      347
      
      
      , 104359.
      10.1016/j.artint.2025.104359
    
  
    
    
       
    
  
  
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      Ushio, Asahi
      2024.
      Representing relational knowledge with language models.
      PhD Thesis,
      Cardiff University.
    
  
    
       
    
    
  
  
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      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),
      St Julian's, Malta,
      17-22 March 2024.
      
      Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics.
      
      
      
       , vol.1
      
      
      Association for Computational Linguistics,
      pp. 2473-2486.
      
    
  
    
       
    
    
  
  
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      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
    
  
    
    
       
    
  
  
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      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
    
  
    
    
       
    
  
  
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      Edwards, Aleksandra, Ushio, Asahi, Camacho Collados, Jose  ORCID: https://orcid.org/0000-0003-1618-7239, Ribaupierre, Helene and Preece, Alun  ORCID: https://orcid.org/0000-0003-0349-9057
      2022.
      
      Guiding generative language models for data augmentation in few-shot text classification.
      Presented at: DaSH 2022,
      Abu Dhabi, United Arab Emirates (Hybrid),
      08 December 2022.
      Published in: Dragut, Eduard, Li, Yunyao, Popa, Lucian, Vucetic, Slobodan and Srivastava, Shashank eds.
      Proceedings of the Fourth Workshop on Data Science with Human-in-the-Loop (Language Advances).
      
      
      
       
      
      Abu Dhabi, United Arab Emirates: 
      ACL,
      pp. 51-63.
      
    
  
  
       
       
     
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      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
      
      
      
      
      
    
  
    
       
    
    
  
  
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      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.
      Published in: Moens, M., Huang, X., Specia, L. and Yih, S. eds.
      Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
      
      
      
       
      
      
      Association for Computational Linguistics,
      pp. 9044-9062.
      10.18653/v1/2021.emnlp-main.712
    
  
  
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      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.
      
    
  
    
       
    
    
  
  
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      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.
      
      
      
      
      
       
      
      
      
      
      
    
  
  
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