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README.md

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 ## Model Description
 
-**roberta-large-entity-linking** is a [RoBERTa large model](https://huggingface.co/FacebookAI/roberta-large) fine-tuned as a [bi-encoder](https://arxiv.org/pdf/1811.08008) for [entity linking](https://en.wikipedia.org/wiki/Entity_linking) tasks. The model separately embeds mentions-in-context and entity descriptions to enable semantic matching between text mentions and knowledge base entities.
+**roberta-large-entity-linking** is a [RoBERTa large model](https://huggingface.co/FacebookAI/roberta-large) fine-tuned as a [bi-encoder](https://arxiv.org/pdf/1811.08008) for [entity linking](https://en.wikipedia.org/wiki/Entity_linking) tasks. The model separately embeds mentions-in-context and entity descriptions to enable matching between text mentions and knowledge base entities.
 
 ### Primary Use Cases
 - **Entity Linking:** Link Wikipedia concepts mentioned in text to their corresponding Wikipedia pages. With [this dataset](https://huggingface.co/datasets/wikimedia/structured-wikipedia) [Wikimedia](https://huggingface.co/wikimedia) makes it easy, you can embed the entries in the "abstract" column (you may need to do some cleanup to filter out irrelevant entries).