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1
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT
In: https://hal.inria.fr/hal-03161685 ; 2021 (2021)
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2
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT
In: EACL 2021 - The 16th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03239087 ; EACL 2021 - The 16th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2021, Kyiv / Virtual, Ukraine ; https://2021.eacl.org/ (2021)
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3
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT ...
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4
Contrastive Explanations for Model Interpretability ...
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5
Measuring and Improving Consistency in Pretrained Language Models ...
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6
Amnesic Probing: Behavioral Explanation With Amnesic Counterfactuals ...
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7
It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT ...
Abstract: Recent works have demonstrated that multilingual BERT (mBERT) learns rich cross-lingual representations, that allow for transfer across languages. We study the word-level translation information embedded in mBERT and present two simple methods that expose remarkable translation capabilities with no fine-tuning. The results suggest that most of this information is encoded in a non-linear way, while some of it can also be recovered with purely linear tools. As part of our analysis, we test the hypothesis that mBERT learns representations which contain both a language-encoding component and an abstract, cross-lingual component, and explicitly identify an empirical language-identity subspace within mBERT representations. ... : BlackboxNLP 2020 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2010.08275
https://arxiv.org/abs/2010.08275
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8
The Extraordinary Failure of Complement Coercion Crowdsourcing ...
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9
Do Language Embeddings Capture Scales? ...
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10
Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals ...
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11
Evaluating Models' Local Decision Boundaries via Contrast Sets ...
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12
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations ...
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13
How Large Are Lions? Inducing Distributions over Quantitative Attributes ...
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14
Where’s My Head? Definition, Data Set, and Models for Numeric Fused-Head Identification and Resolution
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 519-535 (2019) (2019)
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