• Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation
    Verna Dankers, Christopher Lucas, Ivan Titov
    In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3608-3626 [paper]
  • The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study
    Verna Dankers, Elia Bruni, Dieuwke Hupkes
    In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 4154-4175 [paper]
  • Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network
    Verna Dankers*, Anna Langedijk*, Kate McCurdy, Adina Williams, Dieuwke Hupkes (*equal contribution)
    In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 94-108 [paper]
    🏅Best paper award.
  • Episodic memory demands modulate novel metaphor use during event narration
    Vesna G. Djokic, Verna Dankers, Ekaterina Shutova
    In Proceedings of the Annual Meeting of the Cognitive Science Society, 43(43) [paper]
  • Compositionality Decomposed: How do Neural Networks Generalise?
    Dieuwke Hupkes, Verna Dankers, Mathijs Mul, and Elia Bruni
    In Journal of Artificial Intelligence Research, 67, pages 757-795 [paper] [extended abstract (IJCAI)]
  • The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse
    Pere-Lluis Huguet Cabot, Verna Dankers, David Abadi, Agneta Fischer and Ekaterina Shutova
    In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 4479-4488 [paper] [source code]
  • Being neighbourly: Neural metaphor identification in discourse
    Verna Dankers, Karan Malhotra, Gaurav Kudva, Volodymyr Medentsiy and Ekaterina Shutova
    In Proceedings of the Second Workshop on Figurative Language Processing, pages 227-234 [paper] [source code]
  • Modelling the interplay of metaphor and emotion through multitask learning
    Verna Dankers, Marek Rei, Martha Lewis, and Ekaterina Shutova
    In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 2218-2229 [paper]
  • Transcoding compositionally: Using attention to find more generalisable solutions
    Kris Korrel, Dieuwke Hupkes, Verna Dankers, and Elia Bruni
    In Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 1-11 [paper] [source code]
  • Modelling word associations with word embeddings for a guesser agent in the Taboo city challenge competition
    Verna Dankers, Aysenur Bilgin, and Raquel Fernández
    In The 6th ESSENCE Workshop: the Taboo city challenge competition @ IJCAI-2017 [paper]
  • Modelling the generation and retrieval of word associations with word embeddings
    Verna Dankers, Aysenur Bilgin, and Raquel Fernández
    In Proceedings of the 29th Benelux Conference on Artificial Intelligence (BNAIC), pages 401-402 [abstract]
  • Modelling word associations and interactiveness for describer agents in word-guessing games
    Verna Dankers, Aysenur Bilgin, and Raquel Fernández
    In Proceedings of the 29th Benelux Conference on Artificial Intelligence (BNAIC), pages 408-409 [abstract]