metadata
widget:
- text: >-
The third is the path length between long-range dependencies in the
network.
example_title: Intent Classify
language:
- en
pipeline_tag: text-classification
This model is finetuned SciBERT model for context classification in scientific journals.
The model classifies intentions of the scientific text, based on the topic of their description.
It categorizes if the context explains the background, result or method of the paper.
The output classes based on the text are as follows:
Text describing related work, introduction and uses are classified as background
Methods and implementation details are classified as method
Results and analysis are classified as result
For finetuning, I have used dataset from Cohan et al. https://aclanthology.org/N19-1361.pdf