Dieuwke Hupkes
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Text Readability and Simplification, Multimodal Machine Learning Applications, Language and cultural evolution
Most-Cited Works
- → Compositionality Decomposed: How do Neural Networks Generalise?(2020)189 cited
- → Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little(2021)176 cited
- → The emergence of number and syntax units in(2019)118 cited
- → Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP(2019)70 cited
- → Mechanisms for handling nested dependencies in neural-network language models and humans(2021)60 cited
- → A taxonomy and review of generalization research in NLP(2023)57 cited
- → The emergence of number and syntax units in LSTM language models(2019)50 cited