From c47536e5f1220cfa0925d6293645f15979441db4 Mon Sep 17 00:00:00 2001
From: LiyuanLucasLiu <llychinalz@gmail.com>
Date: Sun, 7 Oct 2018 16:00:04 -0500
Subject: [PATCH] update doc

---
 docs/source/index.rst | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/docs/source/index.rst b/docs/source/index.rst
index 0779b47..9bf00c1 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -8,6 +8,17 @@
 LM-LSTM-CRF documentation
 =========================
 
+**Check Our New NER Toolkit🚀🚀🚀**
+- **Inference**:
+  - **[LightNER](https://github.com/LiyuanLucasLiu/LightNER)**: inference w. models pre-trained / trained w. *any* following tools, *efficiently*. 
+- **Training**:
+  - **[LD-Net](https://github.com/LiyuanLucasLiu/LD-Net)**: train NER models w. efficient contextualized representations.
+  - **[VanillaNER](https://github.com/LiyuanLucasLiu/Vanilla_NER)**: train vanilla NER models w. pre-trained embedding.
+- **Distant Training**:
+  - **[AutoNER](https://shangjingbo1226.github.io/AutoNER/)**: train NER models w.o. line-by-line annotations and get competitive performance.
+
+--------------------------
+
 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.