Update README.md

README.md

@@ -2,6 +2,7 @@
 This repository provides fine-tuning codes of BioBERT, a language representation model for biomedical domain, especially designed for biomedical text mining tasks such as biomedical named entity recognition, relation extraction, question answering, etc. Please refer to our paper [BioBERT: a pre-trained biomedical language representation model for biomedical text mining](http://arxiv.org/abs/1901.08746) for more details.
 
 ## Updates
+*   **(5 Apr 2019)** A new version of BioBERT (v1.1) will be available, soon. Please specify the version of BioBERT (currently [v1.0](https://github.com/naver/biobert-pretrained/releases) is only available) when using BioBERT.
 *   **(3 Feb 2019)** Updated our [arxiv paper](http://arxiv.org/abs/1901.08746).
 
 ## Installation
@@ -157,6 +158,12 @@ As our model is only on factoid questions, the result will be like
 where the second, third and fourth numbers will be SAcc, LAcc and MRR of factoid questions respectively.
 Note that we pre-trained our model on SQuAD dataset to get the state-of-the-art performance. Please check our paper for details.
 
+## FAQ
+*   [How can I use BioBERT with PyTorch?](https://github.com/dmis-lab/biobert/issues/2)
+*   [Can I get word/sentence embeddings using BioBERT?](https://github.com/dmis-lab/biobert/issues/23)
+*   [How can I pre-train QA models on SQuAD?](https://github.com/dmis-lab/biobert/issues/10)
+*   [What vocabulary does BioBERT use?](https://github.com/naver/biobert-pretrained/issues/1)
+
 ## License and Disclaimer
 Please see LICENSE file for details. Downloading data indicates your acceptance of our disclaimer.