SuperPAL model

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan, 2021. PDF

How to use?

from transformers import AutoTokenizer, AutoModelForSequenceClassification
  
tokenizer = AutoTokenizer.from_pretrained("biu-nlp/superpal")

model = AutoModelForSequenceClassification.from_pretrained("biu-nlp/superpal")

The original repo is here.

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

@inproceedings{ernst-etal-2021-summary,
  title = "Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline",
  author = "Ernst, Ori  and Shapira, Ori  and Pasunuru, Ramakanth  and Lepioshkin, Michael  and Goldberger, Jacob  and Bansal, Mohit  and Dagan, Ido", 
  booktitle = "Proceedings of the 25th Conference on Computational Natural Language Learning", 
  month = nov, 
  year = "2021", 
  publisher = "Association for Computational Linguistics", 
  url = "https://aclanthology.org/2021.conll-1.25", 
  pages = "310--322"
}