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How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN ...
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Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis ...
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Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs ...
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Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks
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In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 125-140 (2020) (2020)
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RNNs Implicitly Implement Tensor Product Representations
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In: International Conference on Learning Representations ; ICLR 2019 - International Conference on Learning Representations ; https://hal.archives-ouvertes.fr/hal-02274498 ; ICLR 2019 - International Conference on Learning Representations, May 2019, New Orleans, United States (2019)
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What do you learn from context? Probing for sentence structure in contextualized word representations ...
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Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ...
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BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance ...
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Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks ...
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TAG Parsing with Neural Networks and Vector Representations of Supertags
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In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, ; Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01771494 ; Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhague, Denmark. pp.1712 - 1722 (2017)
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