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  - en
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  pipeline_tag: text-classification
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  ---
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- This model is finetuned SciBERT model for context classification in scientific journals.
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- The model classifies intentions of the scientific text, based on the topic of their description.
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- It categorizes if the context explains the background, result or method of the paper.
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- The output classes based on the text are as follows:
 
 
 
 
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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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  - en
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  pipeline_tag: text-classification
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  ---
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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>