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What do you learn from context? Probing for sentence structure in contextualized word representations.

, , , , , , , , , , и . ICLR (Poster), OpenReview.net, (2019)

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Thomas R Schmidt

Thomas R Weihrauch

Thomas R Eimer

Thomas R Huber

Thomas R Walter

 

Другие публикации лиц с тем же именем

How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech., , , и . ACL (1), стр. 9370-9393. Association for Computational Linguistics, (2023)What do you learn from context? Probing for sentence structure in contextualized word representations., , , , , , , , , и 1 other автор(ы). ICLR (Poster), OpenReview.net, (2019)Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages., , , , , , , , , и 2 other автор(ы). CoRR, (2022)How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN., , , , и . Trans. Assoc. Comput. Linguistics, (2023)Is In-Context Learning a Type of Gradient-Based Learning? Evidence from the Inverse Frequency Effect in Structural Priming., , и . CoRR, (2024)Representations of Syntax MASK Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs., , и . ACL, стр. 3306-3316. Association for Computational Linguistics, (2020)BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance., , и . BlackboxNLP@EMNLP, стр. 217-227. Association for Computational Linguistics, (2020)RNNs implicitly implement tensor-product representations., , , и . ICLR (Poster), OpenReview.net, (2019)modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models., , , , , , , и . CoRR, (2024)Syntactic Data Augmentation Increases Robustness to Inference Heuristics., , , , и . ACL, стр. 2339-2352. Association for Computational Linguistics, (2020)