Transcoding Compositionally: Using Attention to Find More Generalizable Solutions. - Kris Korrel; Dieuwke Hupkes; Verna Dankers; Elia Bruni (BlackboxNLP@ACL, 2019)

Modelling the interplay of metaphor and emotion through multitask learning. - Verna Dankers; Marek Rei; Martha Lewis; Ekaterina Shutova (EMNLP/IJCNLP (1), 2019)

The compositionality of neural networks: integrating symbolism and connectionism. - Dieuwke Hupkes; Verna Dankers; Mathijs Mul; Elia Bruni (CoRR, 2019)

Being neighbourly: Neural metaphor identification in discourse. - Verna Dankers; Karan Malhotra; Gaurav Kudva; Volodymyr Medentsiy; Ekaterina Shutova (Fig-Lang@ACL, 2020)

The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse. - Pere-Lluís Huguet Cabot; Verna Dankers; David Abadi; Agneta Fischer; Ekaterina Shutova (EMNLP (Findings), 2020)

Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract). - Dieuwke Hupkes; Verna Dankers; Mathijs Mul; Elia Bruni (IJCAI, 2020)

Compositionality Decomposed: How do Neural Networks Generalise? - Dieuwke Hupkes; Verna Dankers; Mathijs Mul; Elia Bruni (J. Artif. Intell. Res., 2020)

Episodic memory demands modulate novel metaphor use during event narration. - Vesna G. Djokic; Ekaterina Shutova; Verna Dankers (CogSci, 2021)

Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network. - Verna Dankers; Anna Langedijk; Kate McCurdy; Adina Williams; Dieuwke Hupkes (CoNLL, 2021)

The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study. - Verna Dankers; Elia Bruni; Dieuwke Hupkes (ACL (1), 2022)

Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. - Verna Dankers; Christopher G. Lucas; Ivan Titov 001 (ACL (1), 2022)

Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing. - Anna Langedijk; Verna Dankers; Phillip Lippe; Sander Bos; Bryan Cardenas Guevara; Helen Yannakoudakis; Ekaterina Shutova (ACL (1), 2022)

Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. - Verna Dankers; Ivan Titov 001 (EMNLP (Findings), 2022)

Text Characterization Toolkit (TCT). - Daniel Simig; Tianlu Wang; Verna Dankers; Peter Henderson 002; Khuyagbaatar Batsuren; Dieuwke Hupkes; Mona T. Diab (AACL/IJCNLP (System Demonstrations), 2022)

Text Characterization Toolkit. - Daniel Simig; Tianlu Wang; Verna Dankers; Peter Henderson 002; Khuyagbaatar Batsuren; Dieuwke Hupkes; Mona T. Diab (CoRR, 2022)

State-of-the-art generalisation research in NLP: a taxonomy and review. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos Christodoulopoulos 001; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (CoRR, 2022)

Paper Bullets: Modeling Propaganda with the Help of Metaphor. - Daniel Baleato Rodríguez; Verna Dankers; Preslav Nakov; Ekaterina Shutova (EACL (Findings), 2023)

Non-Compositionality in Sentiment: New Data and Analyses. - Verna Dankers; Christopher Lucas 001 (EMNLP (Findings), 2023)

Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. - Verna Dankers; Ivan Titov 001; Dieuwke Hupkes (EMNLP, 2023)

Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study. - Maike Züfle; Verna Dankers; Ivan Titov 001 (CoRR, 2023)

A taxonomy and review of generalization research in NLP. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos E. Christodoulopoulos; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (Nat. Mac. Intell., 2023)

Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks. - Verna Dankers; Ivan Titov 001 (ACL (Findings), 2024)

Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge. - Khuyagbaatar Batsuren; Ekaterina Vylomova; Verna Dankers; Tsetsuukhei Delgerbaatar; Omri Uzan; Yuval Pinter; Gábor Bella (CoRR, 2024)

Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation. - Verna Dankers; Vikas Raunak (CoRR, 2025)