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Verna Dankers
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2020 – today
- 2024
- [i12]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) - 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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last updated on 2024-06-10 20:22 CEST by the dblp team
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