Update README.md

README.md

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-# Model Use
+# Model Description
 
-A description of the model.
+We release our best performing model's for the WebNLG and EventNarrative datasets from the paper GAP: *A Graph-aware Language Model Framework for
+Knowledge Graph-to-Text Generation*. Our model is intended to be used on knowledge graphs in order to narrate their contents, giving a verbalization of the structured data.
 
-# Model Output
 
-# github repo
+# Paper
+Please see our paper [here](https://arxiv.org/abs/2204.06674).
+
+# Citation
+If you found this model useful, please consider citing our paper:
+```
+@inproceedings{colas-etal-2022-gap,
+    title = "{GAP}: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation",
+    author = "Colas, Anthony  and
+      Alvandipour, Mehrdad  and
+      Wang, Daisy Zhe",
+    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
+    month = oct,
+    year = "2022",
+    address = "Gyeongju, Republic of Korea",
+    publisher = "International Committee on Computational Linguistics",
+    url = "https://aclanthology.org/2022.coling-1.506",
+    pages = "5755--5769"
+}
+```
+
+# GitHub repo
+Please see our GitHub [here](https://github.com/acolas1/GAP_COLING2022).