(Q107059867)

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WikiBERT models: deep transfer learning for many languages

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scholarly article

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title

WikiBERT models: deep transfer learning for many languages (English)

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main subject

Bidirectional Encoder Representations from Transformer

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deep transfer learning

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4

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Sampo Pyysalo

series ordinal

1

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Jenna Kanerva

series ordinal

2

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author name string

Antti Virtanen

series ordinal

3

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language of work or name

English

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publication date

21 May 2021

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official website

https://ep.liu.se/konferensartikel.aspx?series=ecp&issue=178&Article_No=1

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full work available at URL

https://arxiv.org/pdf/2006.01538.pdf

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https://ep.liu.se/ecp/178/001/ecp2021178001.pdf

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published in

Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), May 31-June 2, 2021

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page(s)

1-10

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arXiv classification

cs.CL

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cs.LG

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cites work

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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Efficient Estimation of Word Representations in Vector Space

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GloVe: Global Vectors for Word Representation

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SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

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Identifiers

arXiv ID

2006.01538

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(Q107059867)

WikiBERT models: deep transfer learning for many languages

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