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Cotterell, Ryan (22)
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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (4)
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 (4)
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Hits 1 – 20 of 22
1
Estimating the Entropy of Linguistic Distributions ...
Arora, Aryaman
;
Meister, Clara
;
Cotterell, Ryan
. - : arXiv, 2022
BASE
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2
On Homophony and Rényi Entropy ...
Pimentel, Tiago
;
Meister, Clara Isabel
;
Teufel, Simone
. - : ETH Zurich, 2021
BASE
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3
On Homophony and Rényi Entropy ...
Pimentel, Tiago
;
Meister, Clara
;
Teufel, Simone
. - : arXiv, 2021
BASE
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4
On Homophony and Rényi Entropy ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cotterell, Ryan
;
Meister, Clara
. - : Underline Science Inc., 2021
BASE
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5
Searching for Search Errors in Neural Morphological Inflection ...
Forster, Martina
;
Meister, Clara Isabel
;
Cotterell, Ryan
. - : ETH Zurich, 2021
BASE
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6
Revisiting the Uniform Information Density Hypothesis ...
Meister, Clara
;
Pimentel, Tiago
;
Haller, Patrick
. - : arXiv, 2021
BASE
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7
Revisiting the Uniform Information Density Hypothesis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cotterell, Ryan
;
Haller, Patrick
. - : Underline Science Inc., 2021
BASE
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8
Conditional Poisson Stochastic Beams ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Amini, Afra
;
Cotterell, Ryan
. - : Underline Science Inc., 2021
BASE
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9
Language Model Evaluation Beyond Perplexity ...
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
;
Meister, Clara
. - : Underline Science Inc., 2021
BASE
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10
A surprisal--duration trade-off across and within the world's languages ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Blasi, Damián
;
Cotterell, Ryan
. - : Underline Science Inc., 2021
BASE
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11
Determinantal Beam Search ...
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
;
Forster, Martina
. - : Underline Science Inc., 2021
BASE
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12
Is Sparse Attention more Interpretable? ...
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
;
Augenstein, Isabelle
;
Cotterell, Ryan
. - : Underline Science Inc., 2021
BASE
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13
Revisiting the Uniform Information Density Hypothesis ...
Meister, Clara Isabel
;
Pimentel, Tiago
;
Haller, Patrick
. - : ETH Zurich, 2021
BASE
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14
A Plug-and-Play Method for Controlled Text Generation ...
Pascual, Damian
;
Egressy, Béni
;
Meister, Clara Isabel
. - : ETH Zurich, 2021
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15
Language Model Evaluation Beyond Perplexity ...
Meister, Clara Isabel
;
Cotterell, Ryan
. - : ETH Zurich, 2021
BASE
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16
Determinantal Beam Search ...
Meister, Clara Isabel
;
Forster, Martina
;
Cotterell, Ryan
. - : ETH Zurich, 2021
Abstract:
Beam search is a go-to strategy for decoding neural sequence models. The algorithm can naturally be viewed as a subset optimization problem, albeit one where the corresponding set function does not reflect interactions between candidates. Empirically, this leads to sets often exhibiting high overlap, e.g., strings may differ by only a single word. Yet in use-cases that call for multiple solutions, a diverse or representative set is often desired. To address this issue, we propose a reformulation of beam search, which we call determinantal beam search. Determinantal beam search has a natural relationship to determinantal point processes (DPPs), models over sets that inherently encode intra-set interactions. By posing iterations in beam search as a series of subdeterminant maximization problems, we can turn the algorithm into a diverse subset selection process. In a case study, we use the string subsequence kernel to explicitly encourage n-gram coverage in text generated from a sequence model. We observe that ... : 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-000519002
http://hdl.handle.net/20.500.11850/519002
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17
Is Sparse Attention more Interpretable? ...
Meister, Clara Isabel
;
Lazov, Stefan
;
Augenstein, Isabelle
. - : ETH Zurich, 2021
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18
A Cognitive Regularizer for Language Modeling ...
Wei, Jason
;
Meister, Clara
;
Cotterell, Ryan
. - : arXiv, 2021
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19
A Cognitive Regularizer for Language Modeling ...
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
;
Meister, Clara
. - : Underline Science Inc., 2021
BASE
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20
A Cognitive Regularizer for Language Modeling ...
Wei, Jason
;
Meister, Clara Isabel
;
Cotterell, Ryan
. - : ETH Zurich, 2021
BASE
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