From a41c5b3cf257250864e9ede7d73fe0f94497a006 Mon Sep 17 00:00:00 2001
From: Yunxuan Xiao <1085966850@qq.com>
Date: Thu, 27 Jun 2019 16:41:24 +0800
Subject: [PATCH 1/2] Update readme.md

---
 readme.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/readme.md b/readme.md
index 5a9a53a..7497e36 100644
--- a/readme.md
+++ b/readme.md
@@ -6,7 +6,7 @@ A pytorch implementation of our ACL2019 paper [(arXiv)](https://arxiv.org/abs/19
 >Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu  
 >Accepted by ACL 2019  
   
-<img src="./example.png" width="50%" height="50%" />
+<img src="./example.png" width="90%" height="50%" />
 
 This repo is still under construction. Currently, we have provided the core code of DFGN and pretrained checkpoints.
 Although the pre-processing part is not available now, we provide processed data for you to start training.

From d65d1ba623ff5fb9a608e090e94834d9cde58a34 Mon Sep 17 00:00:00 2001
From: Yunxuan Xiao <1085966850@qq.com>
Date: Fri, 28 Jun 2019 17:07:21 +0800
Subject: [PATCH 2/2] Update readme.md

---
 readme.md | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/readme.md b/readme.md
index 7497e36..ea5ce51 100644
--- a/readme.md
+++ b/readme.md
@@ -71,7 +71,12 @@ CUDA_VISIBLE_DEVICES=0,1 python train.py --name=YOUR_EXPNAME --q_update --q_attn
 ```
 If an OOM exception occurs, you may try to set a smaller batch size with gradient_accumulate_step > 1.
 
-Your predictions and checkpoints in each epoch will be stored in *./output* directory.
+Your predictions and checkpoints in each epoch will be stored in *./output* directory. By running local evaluation script, you may get results like this:
+
+|best iter|em|f1|pr|re|sp_em|sp_f1|sp_pr|sp_re|jt_em|jt_f1|jt_pr|jt_re|  
+|-|-|-|-|-|-|-|-|-|-|-|-|-|
+|epxx|	0.5542|	0.6909|	0.7169	|0.7039|	0.5218|	0.8196|	0.8604|	0.8098|	0.3325|	0.5942|	0.6435|	0.5993|
+
 
 ## Local Evaluation
 There are two evaluation scripts here.