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TAG Parsing with Neural Networks and Vector Representations of Supertags.

, , , , and . EMNLP, page 1712-1722. Association for Computational Linguistics, (2017)

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RNNs Implicitly Implement Tensor Product Representations., , , and . CoRR, (2018)RNNs implicitly implement tensor-product representations., , , and . ICLR (Poster), OpenReview.net, (2019)BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance., , and . CoRR, (2019)Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks., , and . CoRR, (2020)BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance., , and . BlackboxNLP@EMNLP, page 217-227. Association for Computational Linguistics, (2020)Representations of Syntax MASK Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs., , and . ACL, page 3306-3316. Association for Computational Linguistics, (2020)How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN., , , , and . CoRR, (2021)Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve., , , , and . CoRR, (2023)How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech., , , and . ACL (1), page 9370-9393. Association for Computational Linguistics, (2023)What do you learn from context? Probing for sentence structure in contextualized word representations., , , , , , , , , and 1 other author(s). ICLR (Poster), OpenReview.net, (2019)