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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 **U**nderstanding with **K**nowledge-based **E**mbeddings), a pre-trained _knowledge-enhanced_ contextualized representation of words and entities. LUKE treats words and entities in a given text as independent tokens, and outputs contextualized representations of them. Please refer to our [GitHub repository](https://github.com/studio-ousia/luke) for more details and updates. |
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This model contains Wikipedia entity embeddings which are not used in general NLP tasks. Please use the [lite version](https://huggingface.co/studio-ousia/luke-japanese-base-lite/) for tasks that do not use Wikipedia entities as inputs. |
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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Transformerモデル**LUKE**の日本語版です。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、これらの文脈を考慮した表現を出力します。詳細については、[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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このモデルは、通常のNLPタスクでは使われないWikipediaエンティティのエンベディングを含んでいます。単語の入力のみを使うタスクには、[lite version](https://huggingface.co/studio-ousia/luke-japanese-base-lite/)を使用してください。 |
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### Experimental results on JGLUE |
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The experimental results evaluated on the dev set of |
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[JGLUE](https://github.com/yahoojapan/JGLUE) are 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** | **0.965** | **0.916**/**0.877** | **0.912** | **0.842** | |
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| _Baselines:_ | | |
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| Tohoku BERT base | 0.958 | 0.909/0.868 | 0.899 | 0.808 | |
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| NICT BERT base | 0.958 | 0.910/0.871 | 0.902 | 0.823 | |
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| Waseda RoBERTa base | 0.962 | 0.913/0.873 | 0.895 | 0.840 | |
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| XLM RoBERTa base | 0.961 | 0.877/0.831 | 0.893 | 0.687 | |
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The baseline scores are obtained from |
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[here](https://github.com/yahoojapan/JGLUE/blob/a6832af23895d6faec8ecf39ec925f1a91601d62/README.md). |
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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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