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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)

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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)Quantifying Variance in Evaluation Benchmarks., , , , , , , and . CoRR, (2024)Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract)., and . IJCAI, page 5617-5621. ijcai.org, (2018)Attention vs non-attention for a Shapley-based explanation method., , , and . DeeLIO@NAACL-HLT, page 129-139. Association for Computational Linguistics, (2021)Sparse Interventions in Language Models with Differentiable Masking., , , and . BlackboxNLP@EMNLP, page 16-27. Association for Computational Linguistics, (2022)Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network., , , , and . CoNLL, page 94-108. Association for Computational Linguistics, (2021)Can Transformers Process Recursive Nested Constructions, Like Humans?, , , and . COLING, page 3226-3232. International Committee on Computational Linguistics, (2022)