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 classifies intentions of the scientific text, i.e text from scientific journals based on their context. It categorizes if the context explains the background, result or method of the paper. The classes are: background, method and result.
For finetuning, I have used dataset from Cohan et al. https://aclanthology.org/N19-1361.pdf