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@@ -16,7 +16,7 @@ Technically, RESTBERTa covers the concepts for fine-tuning a Transformer Encoder
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  a model for a specific Web API integration task.
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  # RESTBERTa for Endpoint Discovery:
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- This repository contains the weights of a fined-tuned RESTBERTa model for the task of endpoint discovery in Web APIs. For this, we formulate question answering as a multiple choice task:
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  Given a query in natural language that describes the purpose and behavior of the target endpoint, i.e., its semantics, the model should choose the endpoint from
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  a given URI model, which is a tree structure.
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  a model for a specific Web API integration task.
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  # RESTBERTa for Endpoint Discovery:
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+ This repository contains the weights of a fined-tuned CodeBERT base model for the task of endpoint discovery in Web APIs. For this, we formulate question answering as a multiple choice task:
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  Given a query in natural language that describes the purpose and behavior of the target endpoint, i.e., its semantics, the model should choose the endpoint from
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  a given URI model, which is a tree structure.
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