Verna Dankers

According to our database, Verna Dankers authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks.

Verna Dankers, Ivan Titov

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

Nat. Mac. Intell., October, 2023

Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study.

Maike Züfle, Verna Dankers, Ivan Titov

CoRR, 2023

Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation.

Verna Dankers, Ivan Titov, Dieuwke Hupkes

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Non-Compositionality in Sentiment: New Data and Analyses.

Verna Dankers, Christopher Lucas

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Paper Bullets: Modeling Propaganda with the Help of Metaphor.

Daniel Baleato Rodríguez, Verna Dankers, Preslav Nakov, Ekaterina Shutova

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

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, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

CoRR, 2022

Text Characterization Toolkit.

Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab

CoRR, 2022

Text Characterization Toolkit (TCT).

Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality.

Verna Dankers, Ivan Titov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation.

Verna Dankers, Christopher G. Lucas, Ivan Titov

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study.

Verna Dankers, Elia Bruni, Dieuwke Hupkes

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Episodic memory demands modulate novel metaphor use during event narration.

Vesna G. Djokic, Ekaterina Shutova, Verna Dankers

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Compositionality Decomposed: How do Neural Networks Generalise?

Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni

J. Artif. Intell. Res., 2020

Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract).

Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Being neighbourly: Neural metaphor identification in discourse.

Verna Dankers, Karan Malhotra, Gaurav Kudva, Volodymyr Medentsiy, Ekaterina Shutova

Proceedings of the Second Workshop on Figurative Language Processing, 2020

2019

The compositionality of neural networks: integrating symbolism and connectionism.

Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni

CoRR, 2019

Modelling the interplay of metaphor and emotion through multitask learning.

Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Transcoding Compositionally: Using Attention to Find More Generalizable Solutions.

Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019