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The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021 (2)
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Hits 1 – 10 of 10
1
Higher-order Derivatives of Weighted Finite-state Machines ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Cotterell, Ryan
;
Vieira, Tim
. - : Underline Science Inc., 2021
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2
On Finding the K-best Non-projective Dependency Trees ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Cotterell, Ryan
;
Vieira, Tim
. - : Underline Science Inc., 2021
BASE
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3
On Finding the K-best Non-projective Dependency Trees ...
Zmigrod, Ran
;
Vieira, Tim
;
Cotterell, Ryan
. - : ETH Zurich, 2021
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4
Efficient computation of expectations under spanning tree distributions ...
Zmigrod, Ran
;
Vieira, Tim
;
Cotterell, Ryan
. - : ETH Zurich, 2021
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5
Higher-order Derivatives of Weighted Finite-state Machines ...
Zmigrod, Ran
;
Vieira, Tim
;
Cotterell, Ryan
. - : ETH Zurich, 2021
Abstract:
Weighted finite-state machines are a fundamental building block of NLP systems. They have withstood the test of time-from their early use in noisy channel models in the 1990s up to modern-day neurally parameterized conditional random fields. This work examines the computation of higher-order derivatives with respect to the normalization constant for weighted finite-state machines. We provide a general algorithm for evaluating derivatives of all orders, which has not been previously described in the literature. In the case of second-order derivatives, our scheme runs in the optimal O(A(2) N-4) time where A is the alphabet size and N is the number of states. Our algorithm is significantly faster than prior algorithms. Additionally, our approach leads to a significantly faster algorithm for computing second-order expectations, such as covariance matrices and gradients of first-order expectations. ... : Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing ...
URL:
https://dx.doi.org/10.3929/ethz-b-000507678
http://hdl.handle.net/20.500.11850/507678
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6
On Finding the K-best Non-projective Dependency Trees
Zmigrod, Ran
;
Cotterell, Ryan
;
Vieira, Tim
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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7
Higher-order Derivatives of Weighted Finite-state Machines
Zmigrod, Ran
;
Cotterell, Ryan
;
Vieira, Tim
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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8
Efficient computation of expectations under spanning tree distributions
Cotterell, Ryan
;
Zmigrod, Ran
;
Vieira, Tim
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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9
Efficient Sampling of Dependency Structure
Vieira, Tim
;
Zmigrod, Ran
;
Cotterell, Ryan
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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10
Please Mind the Root: Decoding Arborescences for Dependency Parsing
Vieira, Tim
;
Cotterell, Ryan
;
Zmigrod, Ran
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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