Update README.md

README.md

@@ -5,7 +5,10 @@ widget:
 
 # SuperPAL model
 
-Use in Transformers
+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
@@ -13,4 +16,22 @@ 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
+@misc{ernst2021summarysource,
+      title={Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline}, 
+      author={Ori Ernst and Ori Shapira and Ramakanth Pasunuru and Michael Lepioshkin and Jacob Goldberger and Mohit Bansal and Ido Dagan},
+      year={2021},
+      eprint={2009.00590},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
 ```