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21
A Bayesian Framework for Information-Theoretic Probing ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.229/ Abstract: Pimentel et al. (2020) recently analysed probing from an information-theoretic perspective. They argue that probing should be seen as approximating a mutual information. This led to the rather unintuitive conclusion that representations encode exactly the same information about a target task as the original sentences. The mutual information, however, assumes the true probability distribution of a pair of random variables is known, leading to unintuitive results in settings where it is not. This paper proposes a new framework to measure what we term Bayesian mutual information, which analyses information from the perspective of Bayesian agents -- allowing for more intuitive findings in scenarios with finite data. For instance, under Bayesian MI we have that data can add information, processing can help, and information can hurt, which makes it more intuitive for machine learning applications. Finally, we apply our framework to ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://underline.io/lecture/37413-a-bayesian-framework-for-information-theoretic-probing
https://dx.doi.org/10.48448/gnht-ez32
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22
Classifying Dyads for Militarized Conflict Analysis ...
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23
Higher-order Derivatives of Weighted Finite-state Machines ...
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24
On Finding the K-best Non-projective Dependency Trees ...
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25
A surprisal--duration trade-off across and within the world's languages ...
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26
Determinantal Beam Search ...
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27
Is Sparse Attention more Interpretable? ...
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28
Revisiting the Uniform Information Density Hypothesis ...
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29
A Plug-and-Play Method for Controlled Text Generation ...
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30
Language Model Evaluation Beyond Perplexity ...
Meister, Clara Isabel; Cotterell, Ryan. - : ETH Zurich, 2021
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31
What About the Precedent: An Information-Theoretic Analysis of Common Law ...
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32
Searching for More Efficient Dynamic Programs ...
Vieira, Tim; Cotterell, Ryan; Eisner, Jason. - : ETH Zurich, 2021
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33
Modeling the Unigram Distribution ...
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34
Determinantal Beam Search ...
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35
Examining the Inductive Bias of Neural Language Models with Artificial Languages ...
White, Jennifer C.; Cotterell, Ryan. - : ETH Zurich, 2021
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36
Finding Concept-specific Biases in Form–Meaning Associations ...
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37
Differentiable subset pruning of transformer heads ...
Li, Jiaoda; Cotterell, Ryan; Sachan, Mrinmaya. - : ETH Zurich, 2021
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38
On Finding the K-best Non-projective Dependency Trees ...
Zmigrod, Ran; Vieira, Tim; Cotterell, Ryan. - : ETH Zurich, 2021
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39
Efficient computation of expectations under spanning tree distributions ...
Zmigrod, Ran; Vieira, Tim; Cotterell, Ryan. - : ETH Zurich, 2021
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40
Multimodal pretraining unmasked: A meta-analysis and a unified framework of vision-and-language berts ...
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