From 0946dd985ba6d882aea4875a2b345a2e1666ca19 Mon Sep 17 00:00:00 2001
From: xuezhong <xuezhongq@gmail.com>
Date: Mon, 22 Apr 2019 20:53:50 +0800
Subject: [PATCH] add elmo link to readme test=develop

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 77704ff3..43159134 100644
--- a/README.md
+++ b/README.md
@@ -41,6 +41,7 @@ PaddlePaddle 提供了丰富的计算单元，使得用户可以采用模块化
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 [Transformer](./PaddleNLP/neural_machine_translation/transformer/README_cn.md)|机器翻译模型|基于self-attention，计算复杂度小，并行度高，容易学习长程依赖，翻译效果更好|[Attention Is All You Need](https://arxiv.org/abs/1706.03762)
 [BERT](https://github.com/PaddlePaddle/LARK/tree/develop/BERT)|语义表示模型|在多个 NLP 任务上取得 SOTA 效果，支持多卡多机训练，支持混合精度训练|[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805)
+[ELMo](https://github.com/PaddlePaddle/LARK/tree/develop/ELMo)|语义表示模型|支持多卡训练，训练速度比主流实现快1倍，提供在中文词法分析任务上迁移学习的示例。|[ELMo: Embeddings from Language Models](https://arxiv.org/abs/1802.05365)
 [LAC](https://github.com/baidu/lac/blob/master/README.md)|联合的词法分析模型|能够整体性地完成中文分词、词性标注、专名识别任务|[Chinese Lexical Analysis with Deep Bi-GRU-CRF Network](https://arxiv.org/abs/1807.01882)
 [Senta](https://github.com/baidu/Senta/blob/master/README.md)|情感倾向分析模型集|百度AI开放平台中情感倾向分析模型|-
 [DAM](./PaddleNLP/deep_attention_matching_net)|语义匹配模型|百度自然语言处理部发表于ACL-2018的工作,用于检索式聊天机器人多轮对话中应答的选择|[Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network](http://aclweb.org/anthology/P18-1103)
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