Create README.md

README.md

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+Paper: [Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study](https://arxiv.org/abs/2212.10233)
+
+```
+@article{https://doi.org/10.48550/arxiv.2212.10233,
+  doi = {10.48550/ARXIV.2212.10233},
+  url = {https://arxiv.org/abs/2212.10233},
+  author = {Wu, Di and Ahmad, Wasi Uddin and Chang, Kai-Wei},
+  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  title = {Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study},
+  publisher = {arXiv},
+  year = {2022}, 
+  copyright = {Creative Commons Attribution 4.0 International}
+}
+```
+
+Pre-training Corpus: [RealNews](https://github.com/rowanz/grover/tree/master/realnews)
+
+Pre-training Details:
+- Resume from bert-base-uncased
+- Batch size: 512
+- Total steps: 250k
+- Learning rate: 1e-4
+- LR schedule: linear with 4k warmup steps
+- Masking ratio: 15% dynamic masking