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Probing Classifiers: Promises, Shortcomings, and Advances ...
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On the Pitfalls of Analyzing Individual Neurons in Language Models ...
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Debiasing Methods in Natural Language Understanding Make Bias More Accessible ...
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Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models ...
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Similarity Analysis of Contextual Word Representation Models ...
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Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? ...
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The Sensitivity of Language Models and Humans to Winograd Schema Perturbations ...
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Analyzing Individual Neurons in Pre-trained Language Models ...
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9 |
On the Linguistic Representational Power of Neural Machine Translation Models
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In: Computational Linguistics, Vol 46, Iss 1, Pp 1-52 (2020) (2020)
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11 |
Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment
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In: MIT Press (2019)
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12 |
On the Linguistic Representational Power of Neural Machine Translation Models ...
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13 |
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference ...
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14 |
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future ...
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15 |
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
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16 |
On Evaluating the Generalization of LSTM Models in Formal Languages
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17 |
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
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19 |
On Evaluating the Generalization of LSTM Models in Formal Languages
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In: Proceedings of the Society for Computation in Linguistics (2019)
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20 |
Analysis Methods in Neural Language Processing: A Survey
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 49-72 (2019) (2019)
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