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Roberta: A Transformer based Approach for Semantic
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Yassine Guermazi1, Sana Sellami1 and Omar Boucelma1
1Aix Marseille Univ, CNRS, IS, Marseille, FranceAbstractIn this paper, we describe
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What is a transformer-based approach for?
A transformer-based approach is a method utilized primarily in natural language processing (NLP) tasks, employing transformer models to understand and generate human language.
Who is required to file a transformer-based approach for?
Individuals or organizations that wish to utilize or develop transformer-based models for specific applications may need to comply with relevant guidelines or policies set forth by governing bodies or institutions.
How to fill out a transformer-based approach for?
To fill out a transformer-based approach, one must provide detailed information about the model architecture, training data, intended applications, compliance with ethical guidelines, and expected outcomes.
What is the purpose of a transformer-based approach for?
The purpose of a transformer-based approach is to leverage the self-attention mechanism of transformer models to efficiently process and generate language, improving tasks such as translation, summarization, and conversation.
What information must be reported on a transformer-based approach for?
Information to be reported includes details about data sources, model parameters, performance metrics, potential biases, and safety considerations.
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