replicated Nikola's results

tools/srl-20131216/scripts/learn_mod.sh

@@ -0,0 +1,38 @@
+#!/bin/sh
+
+## There are three sets of options that need, may need to, and could be changed.
+## (1) deals with input and output. You have to set these (in particular, you need to provide a training corpus)
+## (2) deals with the jvm parameters and may need to be changed
+## (3) deals with the behaviour of the system
+
+## For further information on switches, see the source code, or run
+## java -cp srl.jar se.lth.cs.srl.Learn --help
+
+##################################################
+## (1) The following needs to be set appropriately
+##################################################
+CORPUS=./../../data/sl.train.mate
+Lang="ger"
+MODEL="srl-$Lang.model"
+
+##################################################
+## (2) These ones may need to be changed
+##################################################
+JAVA="java" #Edit this i you want to use a specific java binary.
+MEM="4g" #Memory for the JVM, might need to be increased for large corpora.
+CP="srl.jar:lib/liblinear-1.51-with-deps.jar"
+JVM_ARGS="-cp $CP -Xmx$MEM"
+
+##################################################
+## (3) The following changes the behaviour of the system
+##################################################
+#LLBINARY="-llbinary /home/anders/liblinear-1.6/train" #Path to locally compiled liblinear. Uncomment this and correct the path if you have it. This will make training models faster (30-40%). The models come out slightly differently compared to the java version though due to floating point arithmetics.
+#RERANKER="-reranker" #Uncomment this if you want to train a reranker too. This takes about 8 times longer than the simple pipeline.
+
+
+#Execute
+CMD="$JAVA $JVM_ARGS se.lth.cs.srl.Learn $Lang $CORPUS $MODEL $RERANKER $LLBINARY"
+echo "Executing: $CMD"
+
+$CMD
+

tools/srl-20131216/scripts/parse_srl_only.sh

@@ -11,9 +11,9 @@
 ##################################################
 ## (1) The following needs to be set appropriately
 ##################################################
-INPUT=~/corpora/conll09/spa/CoNLL2009-ST-evaluation-Spanish-SRLonly.txt
-Lang="spa"
-MODEL="./srl-spa.model"
+INPUT=./../../data/sl.test.mate
+Lang="ger"
+MODEL="./srl-ger.model"
 OUTPUT="${Lang}-eval.out"
 
 ##################################################