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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 (3)
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Hits 1 – 20 of 38
1
Detoxifying Language Models Risks Marginalizing Minority Voices ...
NAACL 2021 2021
;
Gururangan, Suchin
;
Klein, Dan
. - : Underline Science Inc., 2021
BASE
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2
Detoxifying Language Models Risks Marginalizing Minority Voices ...
Xu, Albert
;
Pathak, Eshaan
;
Wallace, Eric
. - : arXiv, 2021
BASE
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3
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level ...
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
;
Ghosh, Dhruba
;
Klein, Dan
. - : Underline Science Inc., 2021
BASE
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4
Reference-Centric Models for Grounded Collaborative Dialogue ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chiu, Justin
;
Fried, Daniel
. - : Underline Science Inc., 2021
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5
Constrained Language Models Yield Few-Shot Semantic Parsers ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chen, Charles
;
Eisner, Jason
. - : Underline Science Inc., 2021
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6
Value-Agnostic Conversational Semantic Parsing ...
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
;
Andreas, Jacob
;
Guo, algu@microsoft.com
. - : Underline Science Inc., 2021
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7
An Improved Model for Voicing Silent Speech ...
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
;
Gaddy, David
;
Klein, Dan
. - : Underline Science Inc., 2021
BASE
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8
Multilingual Alignment of Contextual Word Representations ...
Cao, Steven
;
Kitaev, Nikita
;
Klein, Dan
. - : arXiv, 2020
BASE
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9
Constructing Taxonomies from Pretrained Language Models ...
Chen, Catherine
;
Lin, Kevin
;
Klein, Dan
. - : arXiv, 2020
BASE
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10
Unsupervised Parsing via Constituency Tests ...
Cao, Steven
;
Kitaev, Nikita
;
Klein, Dan
. - : arXiv, 2020
BASE
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11
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following ...
Gaddy, David
;
Klein, Dan
. - : arXiv, 2019
BASE
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12
Multilingual Constituency Parsing with Self-Attention and Pre-Training ...
Kitaev, Nikita
;
Cao, Steven
;
Klein, Dan
. - : arXiv, 2018
BASE
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13
Constituency Parsing with a Self-Attentive Encoder ...
Kitaev, Nikita
;
Klein, Dan
. - : arXiv, 2018
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14
What's Going On in Neural Constituency Parsers? An Analysis ...
Gaddy, David
;
Stern, Mitchell
;
Klein, Dan
. - : arXiv, 2018
BASE
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15
Learning with Latent Language ...
Andreas, Jacob
;
Klein, Dan
;
Levine, Sergey
. - : arXiv, 2017
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16
Parsing with Traces: An $O(n^4)$ Algorithm and a Structural Representation ...
Kummerfeld, Jonathan K.
;
Klein, Dan
. - : arXiv, 2017
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17
Analogs of Linguistic Structure in Deep Representations ...
Andreas, Jacob
;
Klein, Dan
. - : arXiv, 2017
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18
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints ...
Durrett, Greg
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Berg-Kirkpatrick, Taylor
;
Klein, Dan
. - : arXiv, 2016
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19
Refinements in Syntactic Parsing
Hall, David Leo Wright
. - : eScholarship, University of California, 2015
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20
Neural Module Networks ...
Andreas, Jacob
;
Rohrbach, Marcus
;
Darrell, Trevor
. - : arXiv, 2015
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