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Hits 1 – 5 of 5
1
Wiki-MLM: Multiple Languages and Modalities ...
Armitage, Jason
;
Kacupaj, Endri
;
Tahmasebzadeh, Golsa
. - : Zenodo, 2020
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2
Wiki-MLM: Multiple Languages and Modalities ...
Armitage, Jason
;
Kacupaj, Endri
;
Tahmasebzadeh, Golsa
. - : Zenodo, 2020
BASE
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3
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities ...
Armitage, Jason
;
Kacupaj, Endri
;
Tahmasebzadeh, Golsa
. - : Zenodo, 2020
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4
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities ...
Armitage, Jason
;
Kacupaj, Endri
;
Tahmasebzadeh, Golsa
. - : Zenodo, 2020
BASE
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5
Wiki-MLM: Multiple Languages and Modalities ...
Armitage, Jason
;
Kacupaj, Endri
;
Tahmasebzadeh, Golsa
;
, Swati
. - : Zenodo, 2020
Abstract:
International organizations and companies encounter web data in a range of modalities and languages. At the same time, applications developed by these users result from pipelines that perform multiple tasks. Systems that handle diverse inputs and multiple objectives hold the promise of limiting complexity in the application work-flow and improving generalization. We present a Wikidata-generated re-source designed to train and evaluate multitask systems on samples in four modalities and three languages ...
Keyword:
Machine Learning
;
Multilingual Data
;
Multimodal Data
;
Multitask Learning
URL:
https://dx.doi.org/10.5281/zenodo.3841257
https://zenodo.org/record/3841257
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