Update README.md

README.md

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 [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
 [![Insight.io](https://insight.io/repoBadge/github.com/LiyuanLucasLiu/LM-LSTM-CRF)](https://insight.io/github.com/LiyuanLucasLiu/LM-LSTM-CRF)
 
+**NEWS**
+- **[AutoNER](https://shangjingbo1226.github.io/AutoNER/):** No line-by-line annotations -- train named entity taggers with distant supervision and get competitive performance. 🚀🚀🚀
+- **[LD-Net](https://github.com/LiyuanLucasLiu/LD-Net):** Efficient contextualized representations for practical NER models. 🚀🚀🚀
+
 This project provides high-performance character-aware sequence labeling tools, including [Training](#usage), [Evaluation](#evaluation) and [Prediction](#prediction). 
 
 Details about LM-LSTM-CRF can be accessed [here](http://arxiv.org/abs/1709.04109), and the implementation is based on the PyTorch library.