RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
Paper • 2310.13895 • Published
How to use seonglae/rtsum with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("seonglae/rtsum")
model = AutoModelForSeq2SeqLM.from_pretrained("seonglae/rtsum")@misc{cho2023rtsum,
title={RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization},
author={Seonglae Cho and Yonggi Cho and HoonJae Lee and Myungha Jang and Jinyoung Yeo and Dongha Lee},
year={2023},
eprint={2310.13895},
archivePrefix={arXiv},
primaryClass={cs.CL}
}