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Hits 1 – 20 of 116
1
Multilingual CoNaLa Datset, train data ...
Zhiruo Wang
;
Cuenca, Grace
;
Shuyan Zhou
. - : Zenodo, 2022
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2
Multilingual CoNaLa Datset, train data ...
Zhiruo Wang
;
Cuenca, Grace
;
Shuyan Zhou
. - : Zenodo, 2022
BASE
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3
AUTOLEX: An Automatic Framework for Linguistic Exploration ...
Chaudhary, Aditi
;
Sheikh, Zaid
;
Mortensen, David R
. - : arXiv, 2022
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4
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages ...
Wang, Zhiruo
;
Cuenca, Grace
;
Zhou, Shuyan
. - : arXiv, 2022
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5
A Systematic Evaluation of Large Language Models of Code ...
Xu, Frank F.
;
Alon, Uri
;
Neubig, Graham
. - : arXiv, 2022
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6
Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation ...
Wang, Xinyi
;
Ruder, Sebastian
;
Neubig, Graham
. - : arXiv, 2022
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7
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
Neubig, Graham
;
Sperber, Matthias
;
Waibel, Alex
...
In: Transactions of the Association for Computational Linguistics, 7, 313–325 ; ISSN: 2307-387X (2022)
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8
Lightly Supervised Quality Estimation
Waibel, Alex
;
Niehues, Jan
;
Stüker, Sebastian
. - : Association for Computational Linguistics, 2022
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9
MasakhaNER: Named entity recognition for African languages
Adelani, David,
;
Abbott, Jade
;
Neubig, Graham
...
In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03350962 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, ⟨10.1162/tacl⟩ (2021)
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10
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ...
Siminyu, Kathleen
;
Li, Xinjian
;
Anastasopoulos, Antonios
. - : arXiv, 2021
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11
Few-shot Language Coordination by Modeling Theory of Mind ...
Zhu, Hao
;
Neubig, Graham
;
Bisk, Yonatan
. - : arXiv, 2021
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12
Systematic Inequalities in Language Technology Performance across the World's Languages ...
Blasi, Damián
;
Anastasopoulos, Antonios
;
Neubig, Graham
. - : arXiv, 2021
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13
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models ...
Huang, Po-Yao
;
Patrick, Mandela
;
Hu, Junjie
. - : arXiv, 2021
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14
Multi-view Subword Regularization ...
Wang, Xinyi
;
Ruder, Sebastian
;
Neubig, Graham
. - : arXiv, 2021
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15
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning ...
Xia, Mengzhou
;
Zheng, Guoqing
;
Mukherjee, Subhabrata
. - : arXiv, 2021
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16
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation ...
Ruder, Sebastian
;
Constant, Noah
;
Botha, Jan
. - : arXiv, 2021
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17
When Does Translation Require Context? A Data-driven, Multilingual Exploration ...
Yin, Kayo
;
Fernandes, Patrick
;
Martins, André F. T.
. - : arXiv, 2021
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18
Breaking Down Multilingual Machine Translation ...
Chiang, Ting-Rui
;
Chen, Yi-Pei
;
Yeh, Yi-Ting
. - : arXiv, 2021
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19
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties ...
Wang, Xinyi
;
Tsvetkov, Yulia
;
Ruder, Sebastian
;
Neubig, Graham
. - : arXiv, 2021
Abstract:
Adapters are light-weight modules that allow parameter-efficient fine-tuning of pretrained models. Specialized language and task adapters have recently been proposed to facilitate cross-lingual transfer of multilingual pretrained models (Pfeiffer et al., 2020b). However, this approach requires training a separate language adapter for every language one wishes to support, which can be impractical for languages with limited data. An intuitive solution is to use a related language adapter for the new language variety, but we observe that this solution can lead to sub-optimal performance. In this paper, we aim to improve the robustness of language adapters to uncovered languages without training new adapters. We find that ensembling multiple existing language adapters makes the fine-tuned model significantly more robust to other language varieties not included in these adapters. Building upon this observation, we propose Entropy Minimized Ensemble of Adapters (EMEA), a method that optimizes the ensemble weights ... : EMNLP 2021 Findings ...
Keyword:
Artificial Intelligence cs.AI
;
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://dx.doi.org/10.48550/arxiv.2109.04877
https://arxiv.org/abs/2109.04877
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20
Distributionally Robust Multilingual Machine Translation ...
Zhou, Chunting
;
Levy, Daniel
;
Li, Xian
. - : arXiv, 2021
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