Edit model card

General Information

This model is trained on journal publications of belonging to the domain: Artificial Intelligence.

This is an allenai/scibert_scivocab_cased model trained in the scientific domain. The model is trained with regression objective to estimate the relevance of a sentence according to the provided context (e.g., the abstract of the scientific paper).

The model is used in the paper 'Transformer-based highlights extraction from scientific papers' published in Knowledge-Based Systems scientific journal. The model is able to achieve state-of-the-art performance in the task of highlights extraction from scientific papers.

Access to the full paper: here.

Usage:

For detailed usage please use the official repository https://github.com/MorenoLaQuatra/THExt .

References:

If you find it useful, please cite the following paper:

@article{thext,
  title={Transformer-based highlights extraction from scientific papers},
  author={La Quatra, Moreno and Cagliero, Luca},
  journal={Knowledge-Based Systems},
  pages={109382},
  year={2022},
  publisher={Elsevier}
}
Downloads last month
22
Safetensors
Model size
110M params
Tensor type
I64
·
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.