| 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} |
| } |
| |
| ``` |
|
|
