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2020 – today
- 2024
[c16]Verna Dankers, Ivan Titov:
Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks. ACL (Findings) 2024: 14348-14366- [i13]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 abs/2404.13292 (2024) - [i12]Verna Dankers, Ivan Titov:
Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks. CoRR abs/2408.04965 (2024) - 2023
- [j2]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): 1161-1174 (2023) - [c15]Daniel Baleato Rodríguez, Verna Dankers, Preslav Nakov, Ekaterina Shutova:
Paper Bullets: Modeling Propaganda with the Help of Metaphor. EACL (Findings) 2023: 472-489 - [c14]Verna Dankers, Christopher Lucas:
Non-Compositionality in Sentiment: New Data and Analyses. EMNLP (Findings) 2023: 5150-5162 - [c13]Verna Dankers, Ivan Titov, Dieuwke Hupkes:
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. EMNLP 2023: 8323-8343 - [i11]Verna Dankers, Ivan Titov:
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. CoRR abs/2301.13714 (2023) - [i10]Verna Dankers, Christopher G. Lucas:
Non-Compositionality in Sentiment: New Data and Analyses. CoRR abs/2310.20656 (2023) - [i9]Verna Dankers, Ivan Titov, Dieuwke Hupkes:
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. CoRR abs/2311.05379 (2023) - [i8]Maike Züfle, Verna Dankers, Ivan Titov:
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study. CoRR abs/2311.10236 (2023) - 2022
- [c12]Verna Dankers, Christopher G. Lucas, Ivan Titov:
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. ACL (1) 2022: 3608-3626 - [c11]Verna Dankers, Elia Bruni, Dieuwke Hupkes:
The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study. ACL (1) 2022: 4154-4175 - [c10]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: 8503-8520 - [c9]Verna Dankers, Ivan Titov:
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. EMNLP (Findings) 2022: 4361-4378 - [c8]Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab:
Text Characterization Toolkit (TCT). AACL/IJCNLP (System Demonstrations) 2022: 72-87 - [i7]Verna Dankers, Christopher G. Lucas, Ivan Titov:
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. CoRR abs/2205.15301 (2022) - [i6]Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab:
Text Characterization Toolkit. CoRR abs/2210.01734 (2022) - [i5]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 abs/2210.03050 (2022) - 2021
- [c7]Vesna G. Djokic, Ekaterina Shutova, Verna Dankers:
Episodic memory demands modulate novel metaphor use during event narration. CogSci 2021 - [c6]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: 94-108 - [i4]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 abs/2104.04736 (2021) - [i3]Verna Dankers, Elia Bruni, Dieuwke Hupkes:
The paradox of the compositionality of natural language: a neural machine translation case study. CoRR abs/2108.05885 (2021) - 2020
- [j1]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
Compositionality Decomposed: How do Neural Networks Generalise? J. Artif. Intell. Res. 67: 757-795 (2020) - [c5]Verna Dankers, Karan Malhotra, Gaurav Kudva, Volodymyr Medentsiy, Ekaterina Shutova:
Being neighbourly: Neural metaphor identification in discourse. Fig-Lang@ACL 2020: 227-234 - [c4]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: 4479-4488 - [c3]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract). IJCAI 2020: 5065-5069
2010 – 2019
- 2019
- [c2]Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni:
Transcoding Compositionally: Using Attention to Find More Generalizable Solutions. BlackboxNLP@ACL 2019: 1-11 - [c1]Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova:
Modelling the interplay of metaphor and emotion through multitask learning. EMNLP/IJCNLP (1) 2019: 2218-2229 - [i2]Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni:
Transcoding compositionally: using attention to find more generalizable solutions. CoRR abs/1906.01234 (2019) - [i1]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
The compositionality of neural networks: integrating symbolism and connectionism. CoRR abs/1908.08351 (2019)
Coauthor Index
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