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README.md
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---
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language:
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- multilingual
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- ar
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- bn
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- de
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- el
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- en
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- es
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- fi
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- fr
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- hi
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- id
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- it
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- ja
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- ko
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- nl
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- pl
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- pt
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- ru
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- sv
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- sw
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- te
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- th
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- tr
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- vi
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- zh
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thumbnail: https://github.com/studio-ousia/luke/raw/master/resources/luke_logo.png
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tags:
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- luke
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- named entity recognition
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- relation classification
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- question answering
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license: apache-2.0
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---
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## mLUKE
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**mLUKE** (multilingual LUKE) is a multilingual extension of LUKE.
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Please check the [official repository](https://github.com/studio-ousia/luke) for
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more details and updates.
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This is the mLUKE base model with 12 hidden layers, 768 hidden size. The total number
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of parameters in this model is 561M.
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The model was initialized with the weights of XLM-RoBERTa(large) and trained using December 2020 version of Wikipedia in 24 languages.
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This model is a lite-weight version of [studio-ousia/mluke-large](https://huggingface.co/studio-ousia/mluke-large), without Wikipedia entity embeddings but only with special entities such as `[MASK]`.
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### Citation
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If you find mLUKE useful for your work, please cite the following paper:
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```latex
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@inproceedings{ri-etal-2022-mluke,
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title = "m{LUKE}: {T}he Power of Entity Representations in Multilingual Pretrained Language Models",
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author = "Ri, Ryokan and
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Yamada, Ikuya and
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Tsuruoka, Yoshimasa",
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booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
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year = "2022",
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url = "https://aclanthology.org/2022.acl-long.505",
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```
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