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Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract).

, , , and . IJCAI, page 5065-5069. ijcai.org, (2020)Journal track.

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Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract)., , , and . IJCAI, page 5065-5069. ijcai.org, (2020)Journal track.Being neighbourly: Neural metaphor identification in discourse., , , , and . Fig-Lang@ACL, page 227-234. Association for Computational Linguistics, (2020)Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study., , and . CoRR, (2023)Transcoding Compositionally: Using Attention to Find More Generalizable Solutions., , , and . BlackboxNLP@ACL, page 1-11. Association for Computational Linguistics, (2019)Episodic memory demands modulate novel metaphor use during event narration., , and . CogSci, cognitivesciencesociety.org, (2021)The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse., , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4479-4488. Association for Computational Linguistics, (2020)Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks., and . ACL (Findings), page 14348-14366. Association for Computational Linguistics, (2024)Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality., and . EMNLP (Findings), page 4361-4378. Association for Computational Linguistics, (2022)Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing., , , , , , and . ACL (1), page 8503-8520. Association for Computational Linguistics, (2022)Text Characterization Toolkit (TCT)., , , , , , and . AACL/IJCNLP (System Demonstrations), page 72-87. Association for Computational Linguistics, (2022)