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Hits 1 – 20 of 69
1
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale ...
Sartran, Laurent
;
Barrett, Samuel
;
Kuncoro, Adhiguna
. - : arXiv, 2022
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2
Diverse Pretrained Context Encodings Improve Document Translation ...
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
;
Donato, Domenic
;
Dyer, Chris
. - : Underline Science Inc., 2021
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3
Better {C}hinese Sentence Segmentation with Reinforcement Learning ...
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
;
Dyer, Chris
;
Srinivasan, Srivatsan
. - : Underline Science Inc., 2021
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4
Learning Robust and Multilingual Speech Representations ...
Kawakami, Kazuya
;
Wang, Luyu
;
Dyer, Chris
. - : arXiv, 2020
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5
Better Document-Level Machine Translation with Bayes’ Rule
Yu, Lei
;
Sartran, Laurent
;
Stokowiec, Wojciech
...
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 346-360 (2020) (2020)
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6
Learning and Evaluating General Linguistic Intelligence ...
Yogatama, Dani
;
d'Autume, Cyprien de Masson
;
Connor, Jerome
. - : arXiv, 2019
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7
Shallow Syntax in Deep Water ...
Swayamdipta, Swabha
;
Peters, Matthew
;
Roof, Brendan
. - : arXiv, 2019
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8
Unsupervised Bilingual POS Tagging with Markov Random Fields ...
Desai Chen
;
Dyer, Chris
;
Cohen, Shay B.
. - : Figshare, 2018
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9
Unsupervised Bilingual POS Tagging with Markov Random Fields ...
Desai Chen
;
Dyer, Chris
;
Cohen, Shay B.
. - : Figshare, 2018
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10
Knowledge-Rich Morphological Priors for Bayesian Language Models ...
Chahuneau, Victor
;
Smith, Noah A.
;
Dyer, Chris
. - : Figshare, 2018
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11
Learning to Discover, Ground and Use Words with Segmental Neural Language Models ...
Kawakami, Kazuya
;
Dyer, Chris
;
Blunsom, Phil
. - : arXiv, 2018
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12
Paraphrase-Supervised Models of Compositionality ...
Saluja, Avneesh
;
Dyer, Chris
;
Ruvini, Jean-David
. - : arXiv, 2018
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13
From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042)
Cho, Kyunghyun
;
Dyer, Chris
;
Blunsom, Phil
. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2017. : Dagstuhl Reports. Dagstuhl Reports, Volume 7, Issue 1, 2017
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14
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling ...
Kawakami, Kazuya
;
Dyer, Chris
;
Blunsom, Phil
. - : arXiv, 2017
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15
From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042) ...
Blunsom, Phil
;
Cho, Kyunghyun
;
Dyer, Chris
. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2017
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16
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment ...
Dasigi, Pradeep
;
Ammar, Waleed
;
Dyer, Chris
. - : arXiv, 2017
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17
Massively Multilingual Word Embeddings ...
Ammar, Waleed
;
Mulcaire, George
;
Tsvetkov, Yulia
. - : arXiv, 2016
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18
Many Languages, One Parser ...
Ammar, Waleed
;
Mulcaire, George
;
Ballesteros, Miguel
. - : arXiv, 2016
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19
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ...
Tsvetkov, Yulia
;
Manaal Faruqui
;
Ling, Wang
. - : Carnegie Mellon University, 2016
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20
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ...
Tsvetkov, Yulia
;
Manaal Faruqui
;
Ling, Wang
. - : Carnegie Mellon University, 2016
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