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39 lines
1.7 KiB
39 lines
1.7 KiB
#!/bin/sh
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## There are three sets of options that need, may need to, and could be changed.
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## (1) deals with input and output. You have to set these (in particular, you need to provide a training corpus)
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## (2) deals with the jvm parameters and may need to be changed
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## (3) deals with the behaviour of the system
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## For further information on switches, see the source code, or run
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## java -cp srl.jar se.lth.cs.srl.Learn --help
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##################################################
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## (1) The following needs to be set appropriately
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##################################################
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CORPUS=~/corpora/conll09/spa/CoNLL2009-ST-Spanish-train.txt.pdeps #training corpus
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Lang="spa"
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MODEL="srl-$Lang.model"
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##################################################
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## (2) These ones may need to be changed
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##################################################
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JAVA="java" #Edit this i you want to use a specific java binary.
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MEM="4g" #Memory for the JVM, might need to be increased for large corpora.
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CP="srl.jar:lib/liblinear-1.51-with-deps.jar"
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JVM_ARGS="-cp $CP -Xmx$MEM"
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##################################################
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## (3) The following changes the behaviour of the system
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##################################################
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#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.
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#RERANKER="-reranker" #Uncomment this if you want to train a reranker too. This takes about 8 times longer than the simple pipeline.
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#Execute
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CMD="$JAVA $JVM_ARGS se.lth.cs.srl.Learn $Lang $CORPUS $MODEL $RERANKER $LLBINARY"
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echo "Executing: $CMD"
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$CMD
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