pytorch roberta text-classification arxiv:2009.00590 transformers
---
widget:
- text: "Prime Minister Hun Sen insisted that talks take place in Cambodia. </s><s> Cambodian leader Hun Sen rejected opposition parties' demands for talks outside the country."
---

# 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](https://arxiv.org/pdf/2009.00590)

**How to use?**

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

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



The original repo is [here](https://github.com/oriern/SuperPAL).


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

```python
@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"
}
```