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README.md
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pipeline_tag: text-classification
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---
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This model is
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The
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</br>
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<ul>
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<li>Text describing related work, introduction and uses are classified as <b>background</b></li>
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pipeline_tag: text-classification
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This model is a fine-tuned version of SciBERT, specifically designed for context classification in scientific journals.
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Its primary function is to categorize the intentions of scientific texts based on the topic they describe.
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The model assigns them to one of three classes: Background, Result, or Method.
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The Background class is used when the text provides relevant background information, such as theoretical concepts or previous
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research findings. The Result class is assigned to texts that describe the study's findings, including experimental data,
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statistical analysis, or conclusions.
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Finally, the Method class is used for texts that explain the methodology or approach employed in the research.
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The classes of the model output is defined below:
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</br>
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<ul>
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<li>Text describing related work, introduction and uses are classified as <b>background</b></li>
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