kristjan/cjvt-srl-tagging
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replicated Nikola's results

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voje 2019-01-29 08:53:23 +01:00
parent 0a27168ddf
commit 46f3c82f7a
2 changed files with 41 additions and 3 deletions
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38
tools/srl-20131216/scripts/learn_mod.sh Normal file
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#!/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

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tools/srl-20131216/scripts/parse_srl_only.sh
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##################################################
## (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"
##################################################