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--- |
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language: ja |
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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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- entity typing |
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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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## luke-japanese |
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**luke-japanese** is the Japanese version of **LUKE** (**L**anguage |
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**U**nderstanding with **K**nowledge-based **E**mbeddings), a pre-trained |
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_knowledge-enhanced_ contextualized representation of words and entities based |
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on transformer. LUKE treats words and entities in a given text as independent |
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tokens, and outputs contextualized representations of them. Please refer to our |
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[GitHub repository](https://github.com/studio-ousia/luke) for more details and |
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updates. |
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**luke-japanese**は、単語とエンティティの知識拡張型訓練済みモデル**LUKE**の日本 |
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語版です。LUKE は単語とエンティティを独立したトークンとして扱い、これらの文脈を |
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考慮した表現を出力します。詳細については |
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、[GitHub リポジトリ](https://github.com/studio-ousia/luke)を参照してください。 |
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### Experimental results on JGLUE |
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The performance of luke-japanese evaluated on the dev set of |
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[JGLUE](https://github.com/yahoojapan/JGLUE) is shown as follows: |
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| Model | MARC-ja | JSTS | JNLI | JCommonsenseQA | |
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| ---------------------- | --------- | ------------------- | --------- | -------------- | |
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| | acc | Pearson/Spearman | acc | acc | |
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| **luke-japanese-base** | **0.963** | **0.912**/**0.875** | **0.912** | **0.842** | |
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| _Baselines:_ | | |
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| Tohoku BERT base | 0.958 | 0.899/0.859 | 0.899 | 0.808 | |
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| NICT BERT base | 0.958 | 0.903/0.867 | 0.902 | 0.823 | |
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| Waseda RoBERTa base | 0.962 | 0.901/0.865 | 0.895 | 0.840 | |
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| XLM RoBERTa base | 0.961 | 0.870/0.825 | 0.893 | 0.687 | |
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### Citation |
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```latex |
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@inproceedings{yamada2020luke, |
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title={LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention}, |
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author={Ikuya Yamada and Akari Asai and Hiroyuki Shindo and Hideaki Takeda and Yuji Matsumoto}, |
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booktitle={EMNLP}, |
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year={2020} |
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} |
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``` |
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