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  - en
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  pipeline_tag: text-classification
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  ---
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- This model classifies intentions of the scientific text, i.e text from scientific journals based on their context.
 
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  It categorizes if the context explains the background, result or method of the paper.
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- The classes are: background, method and result.
 
 
 
 
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  For finetuning, I have used dataset from Cohan et al. https://aclanthology.org/N19-1361.pdf
 
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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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+ Text describing related work, introduction and uses are classified as <b>background</b>
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+ Methods and implementation details are classified as <b>method</b>
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+ Results and analysis are classified as <b>result</b>
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  For finetuning, I have used dataset from Cohan et al. https://aclanthology.org/N19-1361.pdf