Compositionality decomposed: How do neural networks generalise? D Hupkes, V Dankers, M Mul, E Bruni Journal of Artificial Intelligence Research 67, 757-795, 2020 | 307* | 2020 |
A taxonomy and review of generalization research in NLP D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ... Nature Machine Intelligence 5 (10), 1161-1174, 2023 | 80* | 2023 |
Modelling the interplay of metaphor and emotion through multitask learning V Dankers, M Rei, M Lewis, E Shutova EMNLP 2019, 2019 | 69 | 2019 |
The paradox of the compositionality of natural language: a neural machine translation case study V Dankers, E Bruni, D Hupkes ACL 2022, 2022 | 62 | 2022 |
The pragmatics behind politics: Modelling metaphor, framing and emotion in political discourse PLH Cabot, V Dankers, D Abadi, A Fischer, E Shutova EMLNP Findings 2020, 2020 | 40 | 2020 |
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation V Dankers, CG Lucas, I Titov ACL 2022, 2022 | 39 | 2022 |
Transcoding compositionally: using attention to find more generalizable solutions K Korrel, D Hupkes, V Dankers, E Bruni BlackboxNLP workshop at ACL 2019, 2019 | 29 | 2019 |
Being neighbourly: Neural metaphor identification in discourse V Dankers, K Malhotra, G Kudva, V Medentsiy, E Shutova FigLang workshop at ACL 2020, 2020 | 23 | 2020 |
Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network V Dankers, A Langedijk, K McCurdy, A Williams, D Hupkes CoNLL 2021, 2021 | 21 | 2021 |
Meta-learning for fast cross-lingual adaptation in dependency parsing A Langedijk, V Dankers, P Lippe, S Bos, BC Guevara, H Yannakoudakis, ... ACL 2022, 2022 | 10 | 2022 |
Paper Bullets: Modeling Propaganda with the Help of Metaphor DB Rodríguez, V Dankers, P Nakov, E Shutova EACL Findings 2023, 472-489, 2023 | 5 | 2023 |
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality V Dankers, I Titov EMNLP Findings 2022, 2022 | 2 | 2022 |
Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge K Batsuren, E Vylomova, V Dankers, T Delgerbaatar, O Uzan, Y Pinter, ... arXiv preprint arXiv:2404.13292, 2024 | 1 | 2024 |
Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP D Hupkes, V Dankers, K Batsuren, K Sinha, A Kazemnejad, ... Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP, 2023 | | 2023 |
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study M Züfle, V Dankers, I Titov GenBench at EMNLP 2023, 2023 | | 2023 |
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation V Dankers, I Titov, D Hupkes EMNLP 2023, 2023 | | 2023 |
Non-Compositionality in Sentiment: New Data and Analyses V Dankers, CG Lucas EMNLP Findings 2023, 2023 | | 2023 |
Episodic memory demands modulate novel metaphor use during event narration V G Djokic, E Shutova, V Dankers CogSci 2021, 2021 | | 2021 |