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docs: updated article reference in Multi-Task docs page #1668

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3 changes: 2 additions & 1 deletion docs/features/models/multitask_bert.rst
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,8 @@ Multi-task BERT in DeepPavlov
=============================

Multi-task BERT in DeepPavlov is an implementation of BERT training algorithm published in the paper
`Multi-Task Deep Neural Networks for Natural Language Understanding <https://arxiv.org/abs/1901.11504>`_.
`Knowledge Transfer Between Tasks and Languages in the Multi-task
Encoder-agnostic Transformer-based Models <https://www.dialog-21.ru/media/5902/karpovdpluskonovalovv002.pdf>`_.

The idea is to share BERT body between several tasks. This is necessary if a model pipe has several
components using BERT and the amount of GPU memory is limited. Each task has its own 'head' part attached to the
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