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cs.CL2021★ 1 cited
The paradox of the compositionality of natural language: a neural machine translation case study
Verna Dankers, Elia Bruni, Dieuwke Hupkes
Obtaining human-like performance in NLP is often argued to require compositional generalisation. Whether neural networks exhibit this ability is usually studied by training models…
cs.CL2021
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing
Anna Langedijk, Verna Dankers, Phillip Lippe +4
Meta-learning, or learning to learn, is a technique that can help to overcome resource scarcity in cross-lingual NLP problems, by enabling fast adaptation to new tasks. We apply mo…