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2020 – today
- 2021
[c22]Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld:
Language Models Use Monotonicity to Assess NPI Licensing. ACL/IJCNLP (Findings) 2021: 4958-4969- [c21]Tom Kersten, Hugh Mee Wong, Jaap Jumelet, Dieuwke Hupkes:
Attention vs non-attention for a Shapley-based explanation method. DeeLIO@NAACL-HLT 2021: 129-139 - [c20]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 - [c19]Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes:
Language Modelling as a Multi-Task Problem. EACL 2021: 2049-2060 - [c18]Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Co-evolution of language and agents in referential games. EACL 2021: 2993-3004 - [c17]Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela:
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. EMNLP (1) 2021: 2888-2913 - [i27]Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes:
Language Modelling as a Multi-Task Problem. CoRR abs/2101.11287 (2021) - [i26]Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela:
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. CoRR abs/2104.06644 (2021) - [i25]Tom Kersten, Hugh Mee Wong, Jaap Jumelet, Dieuwke Hupkes:
Attention vs non-attention for a Shapley-based explanation method. CoRR abs/2104.12424 (2021) - [i24]Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld:
Language Models Use Monotonicity to Assess NPI Licensing. CoRR abs/2105.13818 (2021) - [i23]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) - [i22]Eugene Kharitonov, Marco Baroni, Dieuwke Hupkes:
How BPE Affects Memorization in Transformers. CoRR abs/2110.02782 (2021) - [i21]Yair Lakretz, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene:
Causal Transformers Perform Below Chance on Recursive Nested Constructions, Unlike Humans. CoRR abs/2110.07240 (2021) - [i20]Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov:
Sparse Interventions in Language Models with Differentiable Masking. CoRR abs/2112.06837 (2021) - [i19]Maartje ter Hoeve, Evgeny Kharitonov, Dieuwke Hupkes, Emmanuel Dupoux:
Towards Interactive Language Modeling. CoRR abs/2112.11911 (2021) - 2020
- [j2]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
Compositionality Decomposed: How do Neural Networks Generalise? J. Artif. Intell. Res. 67: 757-795 (2020) - [c16]Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Location Attention for Extrapolation to Longer Sequences. ACL 2020: 403-413 - [c15]Oskar van der Wal, Silvan de Boer, Elia Bruni, Dieuwke Hupkes:
The Grammar of Emergent Languages. EMNLP (1) 2020: 3339-3359 - [c14]Diana Rodríguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes, Elia Bruni:
Internal and External Pressures on Language Emergence: Least Effort, Object Constancy and Frequency. EMNLP (Findings) 2020: 4428-4437 - [c13]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract). IJCAI 2020: 5065-5069 - [e2]Afra Alishahi, Yonatan Belinkov, Grzegorz Chrupala, Dieuwke Hupkes, Yuval Pinter, Hassan Sajjad:
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2020, Online, November 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-86-6 [contents] - [i18]Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Co-evolution of language and agents in referential games. CoRR abs/2001.03361 (2020) - [i17]Diana Rodríguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes, Elia Bruni:
Internal and external pressures on language emergence: least effort, object constancy and frequency. CoRR abs/2004.03868 (2020) - [i16]Yair Lakretz, Dieuwke Hupkes, Alessandra Vergallito, Marco Marelli, Marco Baroni, Stanislas Dehaene:
Exploring Processing of Nested Dependencies in Neural-Network Language Models and Humans. CoRR abs/2006.11098 (2020) - [i15]Oskar van der Wal, Silvan de Boer, Elia Bruni, Dieuwke Hupkes:
The Grammar of Emergent Languages. CoRR abs/2010.02069 (2020)
2010 – 2019
- 2019
- [c12]Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni:
Transcoding Compositionally: Using Attention to Find More Generalizable Solutions. BlackboxNLP@ACL 2019: 1-11 - [c11]Joris Baan, Jana Leible, Mitja Nikolaus
, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni:
On the Realization of Compositionality in Neural Networks. BlackboxNLP@ACL 2019: 127-137 - [c10]Jaap Jumelet, Willem H. Zuidema, Dieuwke Hupkes:
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment. CoNLL 2019: 1-11 - [c9]Rezka Leonandya, Dieuwke Hupkes, Elia Bruni, Germán Kruszewski:
The Fast and the Flexible: Training Neural Networks to Learn to Follow Instructions from Small Data. IWCS (1) 2019: 223-234 - [c8]Yair Lakretz, Germán Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni:
The emergence of number and syntax units in LSTM language models. NAACL-HLT (1) 2019: 11-20 - [c7]Dennis Ulmer, Dieuwke Hupkes, Elia Bruni:
Assessing Incrementality in Sequence-to-Sequence Models. RepL4NLP@ACL 2019: 209-217 - [e1]Tal Linzen, Grzegorz Chrupala, Yonatan Belinkov, Dieuwke Hupkes:
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@ACL 2019, Florence, Italy, August 1, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-30-7 [contents] - [i14]Willem H. Zuidema, Dieuwke Hupkes, Geraint A. Wiggins, Constance Scharff, Martin Rohrmeier:
Formal models of Structure Building in Music, Language and Animal Songs. CoRR abs/1901.05180 (2019) - [i13]Yair Lakretz, Germán Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni:
The emergence of number and syntax units in LSTM language models. CoRR abs/1903.07435 (2019) - [i12]Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni:
Transcoding compositionally: using attention to find more generalizable solutions. CoRR abs/1906.01234 (2019) - [i11]Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni:
On the Realization of Compositionality in Neural Networks. CoRR abs/1906.01634 (2019) - [i10]Dennis Ulmer, Dieuwke Hupkes, Elia Bruni:
Assessing incrementality in sequence-to-sequence models. CoRR abs/1906.03293 (2019) - [i9]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
The compositionality of neural networks: integrating symbolism and connectionism. CoRR abs/1908.08351 (2019) - [i8]Jaap Jumelet, Willem H. Zuidema, Dieuwke Hupkes:
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment. CoRR abs/1909.08975 (2019) - [i7]Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Location Attention for Extrapolation to Longer Sequences. CoRR abs/1911.03872 (2019) - 2018
- [j1]Dieuwke Hupkes, Sara Veldhoen, Willem H. Zuidema:
Visualisation and 'Diagnostic Classifiers' Reveal How Recurrent and Recursive Neural Networks Process Hierarchical Structure. J. Artif. Intell. Res. 61: 907-926 (2018) - [c6]Dieuwke Hupkes, Sanne Bouwmeester, Raquel Fernández:
Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue. BlackboxNLP@EMNLP 2018: 165-174 - [c5]Jaap Jumelet, Dieuwke Hupkes:
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items. BlackboxNLP@EMNLP 2018: 222-231 - [c4]Mario Giulianelli, Jack Harding, Florian Mohnert, Dieuwke Hupkes, Willem H. Zuidema:
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information. BlackboxNLP@EMNLP 2018: 240-248 - [c3]Dieuwke Hupkes, Willem H. Zuidema:
Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract). IJCAI 2018: 5617-5621 - [i6]Dieuwke Hupkes, Anand Singh, Kris Korrel, Germán Kruszewski, Elia Bruni:
Learning compositionally through attentive guidance. CoRR abs/1805.09657 (2018) - [i5]Mario Giulianelli, Jack Harding, Florian Mohnert, Dieuwke Hupkes, Willem H. Zuidema:
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information. CoRR abs/1808.08079 (2018) - [i4]Dieuwke Hupkes, Sanne Bouwmeester, Raquel Fernández:
Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue. CoRR abs/1808.09178 (2018) - [i3]Jaap Jumelet, Dieuwke Hupkes:
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items. CoRR abs/1808.10627 (2018) - [i2]Rezka Leonandya, Elia Bruni, Dieuwke Hupkes, Germán Kruszewski:
The Fast and the Flexible: training neural networks to learn to follow instructions from small data. CoRR abs/1809.06194 (2018) - 2017
- [i1]Dieuwke Hupkes, Sara Veldhoen, Willem H. Zuidema:
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure. CoRR abs/1711.10203 (2017) - 2016
- [c2]Dieuwke Hupkes, Rens Bod:
POS-tagging of Historical Dutch. LREC 2016 - [c1]Sara Veldhoen, Dieuwke Hupkes, Willem H. Zuidema:
Diagnostic Classifiers Revealing how Neural Networks Process Hierarchical Structure. CoCo@NIPS 2016
Coauthor Index
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last updated on 2022-03-22 22:36 CET by the dblp team
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