Verna Dankers

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Dependency Parsing

Machine Translation

Top Venues

EMNLP (Findings)

Publications

Verna Dankers, Ivan Titov
Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks. ACL (Findings) (2024)
Khuyagbaatar Batsuren, Ekaterina Vylomova, Verna Dankers, Tsetsuukhei Delgerbaatar, Omri Uzan, Yuval Pinter, Gábor Bella
Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge. CoRR (2024)
Verna Dankers, Ivan Titov
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. CoRR (2023)
Maike Züfle, Verna Dankers, Ivan Titov
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study. CoRR (2023)
Daniel Baleato Rodríguez, Verna Dankers, Preslav Nakov, Ekaterina Shutova
Paper Bullets: Modeling Propaganda with the Help of Metaphor. EACL (Findings) (2023)
Verna Dankers, Ivan Titov, Dieuwke Hupkes
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. EMNLP (2023)
Verna Dankers, Ivan Titov, Dieuwke Hupkes
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. CoRR (2023)
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
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5 (10) (2023)
Verna Dankers, Christopher Lucas
Non-Compositionality in Sentiment: New Data and Analyses. EMNLP (Findings) (2023)
Verna Dankers, Christopher G. Lucas
Non-Compositionality in Sentiment: New Data and Analyses. CoRR (2023)
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
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR (2022)
Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab
Text Characterization Toolkit. CoRR (2022)
Verna Dankers, Elia Bruni, Dieuwke Hupkes
The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study. ACL (1) (2022)
Verna Dankers, Christopher G. Lucas, Ivan Titov
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. ACL (1) (2022)
Verna Dankers, Ivan Titov
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. EMNLP (Findings) (2022)
Anna Langedijk, Verna Dankers, Phillip Lippe, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis, Ekaterina Shutova
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing. ACL (1) (2022)
Verna Dankers, Christopher G. Lucas, Ivan Titov
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. CoRR (2022)
Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab
Text Characterization Toolkit (TCT). AACL/IJCNLP (System Demonstrations) (2022)
Vesna G. Djokic, Ekaterina Shutova, Verna Dankers
Episodic memory demands modulate novel metaphor use during event narration. CogSci (2021)
Anna Langedijk, Verna Dankers, Phillip Lippe, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis, Ekaterina Shutova
Meta-learning for fast cross-lingual adaptation in dependency parsing. CoRR (2021)
Verna Dankers, Anna Langedijk, Kate McCurdy, Adina Williams, Dieuwke Hupkes
Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network. CoNLL (2021)
Verna Dankers, Elia Bruni, Dieuwke Hupkes
The paradox of the compositionality of natural language: a neural machine translation case study. CoRR (2021)
Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni
Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract). IJCAI (2020)
Pere-Lluís Huguet Cabot, Verna Dankers, David Abadi, Agneta Fischer, Ekaterina Shutova
The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse. EMNLP (Findings) (2020)
Verna Dankers, Karan Malhotra, Gaurav Kudva, Volodymyr Medentsiy, Ekaterina Shutova
Being neighbourly: Neural metaphor identification in discourse. Fig-Lang@ACL (2020)
Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni
Compositionality Decomposed: How do Neural Networks Generalise? J. Artif. Intell. Res. 67 (2020)
Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni
Transcoding Compositionally: Using Attention to Find More Generalizable Solutions. BlackboxNLP@ACL (2019)
Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni
Transcoding compositionally: using attention to find more generalizable solutions. CoRR (2019)
Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni
The compositionality of neural networks: integrating symbolism and connectionism. CoRR (2019)
Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova
Modelling the interplay of metaphor and emotion through multitask learning. EMNLP/IJCNLP (1) (2019)