Controlled Text Reduction Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan, 2022. PDF
How to use?
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.
If you find our work useful, please cite the paper as:
@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}
}