Create README.md

README.md

@@ -0,0 +1,20 @@
+Pre-trained evaluator in EMNLP 2022 paper
+
+*[Towards a Unified Multi-Dimensional Evaluator for Text Generation](https://arxiv.org/abs/2210.07197)*
+
+## Introduction
+
+**Multi-dimensional evaluation** is the dominant paradigm for human evaluation in Natural Language Generation (NLG), i.e., evaluating the generated text from multiple explainable dimensions, such as coherence and fluency.
+
+However, automatic evaluation in NLG is still dominated by similarity-based metrics (e.g., ROUGE, BLEU), but they are not sufficient to portray the difference between the advanced generation models.
+
+Therefore, we propose **UniEval** to bridge this gap so that a more comprehensive and fine-grained evaluation of NLG systems can be achieved.
+
+## Pre-trained Evaluator
+
+**unieval-fact** is the pre-trained evaluator for the factual consistency detection task. It can evaluate the model output and predict a consistency score.
+
+
+## Usage 
+
+Please refer to [our GitHub repository](https://github.com/maszhongming/UniEval).