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zzsfornlp · Jun 22, 2020 · e446114 · e446114
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diff --git a/docs/iarg.md b/docs/iarg.md
@@ -2,7 +2,7 @@
 
 Hi, this describes our implementation for our ACL-2020 paper: "A Two-Step Approach for Implicit Event Argument Detection".
 
-Please refer to the paper for more details: [[paper]](https://www.aclweb.org/anthology/??) [[bib]](https://aclweb.org/anthology/papers/??)
+Please refer to the paper for more details: [[paper]](https://www.aclweb.org/anthology/2020.acl-main.667.pdf) [[bib]](https://www.aclweb.org/anthology/2020.acl-main.667.bib)
 
 ### Repo
 

diff --git a/tasks/zdpar/zfp/run_zfp.sh b/tasks/zdpar/zfp/run_zfp.sh
@@ -47,10 +47,13 @@ base_opt+=" lrate.val:0.00005 lrate.min_val:0.000001 tconf.batch_size:16 lrate.m
 # which system
 base_opt+=" partype:fp use_label0:1"
 
+if [[ ${NOFTBERT} == 1 ]]; then
+# simply use features
+base_opt+=" bert2_model:bert-base-multilingual-cased bert2_output_layers:[6,8,10] bert2_trainable_layers:0 lrate.val:0.0002"
+else
 # fine-tune bert
-base_opt+=" bert2_model:bert-base-multilingual-cased bert2_output_layers:[-1] bert2_trainable_layers:13"
-# or simply use features
-#base_opt+=" bert2_model:bert-base-multilingual-cased bert2_output_layers:[4,6,8]"
+base_opt+=" bert2_model:bert-base-multilingual-cased bert2_output_layers:[-1] bert2_trainable_layers:13 lrate.val:0.00005"
+fi
 
 # decoder
 base_opt+=" arc_space:512 lab_space:128"
@@ -93,6 +96,8 @@ if [[ ${USE_RDIR} != "" ]]; then
 cd $OLDPWD
 fi
 
-
 # =====
-# RGPU=1 DEBUG= CUR_LANG=en CUR_RUN=1 USERNN=0 USEATT=0 USE_RDIR= bash _go.sh
+# fine-tune bert
+# RGPU=1 DEBUG= CUR_LANG=en CUR_RUN=1 USERNN=0 USEATT=0 NOFTBERT=0 USE_RDIR= bash _go.sh
+# bert-features + 6-layer transformer
+# RGPU=1 DEBUG= CUR_LANG=en CUR_RUN=1 USERNN=0 USEATT=1 NOFTBERT=1 USE_RDIR= bash _go.sh