Update README.md

README.md

@@ -12,22 +12,17 @@ license: apache-2.0
 
 ## luke-japanese
 
-**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 based
-on transformer. 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.
-
-**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
-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。
+**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.
+
+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.
+
+**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。
+
+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。
 
 ### Experimental results on JGLUE
 
-The performance of luke-japanese evaluated on the dev set of
+The experimental results evaluated on the dev set of
 [JGLUE](https://github.com/yahoojapan/JGLUE) is shown as follows:
 
 | Model                  | MARC-ja   | JSTS                | JNLI      | JCommonsenseQA |
@@ -40,6 +35,8 @@ The performance of luke-japanese evaluated on the dev set of
 | Waseda RoBERTa base    | 0.962     | 0.901/0.865         | 0.895     | 0.840          |
 | XLM RoBERTa base       | 0.961     | 0.870/0.825         | 0.893     | 0.687          |
 
+The baseline scores are obtained from [here](https://github.com/yahoojapan/JGLUE/tree/9f650417195ec54a080411f44e2395012979d42e#baseline-scores).
+
 ### Citation
 
 ```latex