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On the Realization of Compositionality in Neural Networks.

, , , , , , , and . BlackboxNLP@ACL, page 127-137. Association for Computational Linguistics, (2019)

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State-of-the-art generalisation research in NLP: a taxonomy and review., , , , , , , , , and 10 other author(s). CoRR, (2022)The compositionality of neural networks: integrating symbolism and connectionism., , , and . CoRR, (2019)Transcoding Compositionally: Using Attention to Find More Generalizable Solutions., , , and . BlackboxNLP@ACL, page 1-11. Association for Computational Linguistics, (2019)Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue., , and . BlackboxNLP@EMNLP, page 165-174. Association for Computational Linguistics, (2018)Language Models Use Monotonicity to Assess NPI Licensing., , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4958-4969. Association for Computational Linguistics, (2021)Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning., , and . CoNLL, page 294-313. Association for Computational Linguistics, (2023)Co-evolution of language and agents in referential games., , and . CoRR, (2020)Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses., , and . CoRR, (2023)Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract)., and . IJCAI, page 5617-5621. ijcai.org, (2018)Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network., , , , and . CoNLL, page 94-108. Association for Computational Linguistics, (2021)