Controlled Text Reduction
Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan, 2022. [PDF](https://arxiv.org/abs/2210.13449)

**How to use?**

```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
  
tokenizer = AutoTokenizer.from_pretrained("biu-nlp/led-base-controlled-text-reduction")
model = AutoModelForSeq2SeqLM.from_pretrained("biu-nlp/led-base-controlled-text-reduction")
```

The original repo is [here](https://github.com/lovodkin93/Controlled_Text_Reduction).


If you find our work useful, please cite the paper as:

```python
@misc{https://doi.org/10.48550/arxiv.2210.13449,
  doi = {10.48550/ARXIV.2210.13449},
  url = {https://arxiv.org/abs/2210.13449},
  author = {Slobodkin, Aviv and Roit, Paul and Hirsch, Eran and Ernst, Ori and Dagan, Ido},
  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Controlled Text Reduction},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Zero v1.0 Universal}
}

```