Update README.md

README.md

@@ -8,4 +8,20 @@ metrics:
 - f1
 - exact_match
 library_name: transformers
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+---
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+# Restaurant-T5-Base
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+
+The Restaurant-T5-Base model was introduced in [A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis (SIGIR'23)](https://doi.org/10.1145/3539618.3591940) by Zengzhi Wang, Qiming Xie, and Rui Xia.
+
+The details are available at [Github:FS-ABSA](https://github.com/nustm/fs-absa) and [SIGIR'23 paper](https://doi.org/10.1145/3539618.3591940).
+
+
+# Model Description
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+To bridge the domain gap between general pre-training and the task of interest in a specific domain (i.e., `restaurant` in this repo), we conducted *domain-adaptive pre-training*, 
+continuing pre-training the language model (i.e., T5) on the unlabeled corpus of the domain of interest (i.e., `restaurant`) with the *text-infilling objective*
+(corruption rate of 15% and average span length of 1). 
+