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62 lines
2.6 KiB
62 lines
2.6 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 models)
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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-20100902.jar se.lth.cs.srl.http.HttpPipeline
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##################################################
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## (1) The following needs to be set appropriately
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##################################################
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Lang="eng"
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MODELDIR=`dirname $0`/../../models/eng/
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#TOKENIZER_MODEL=${MODELDIR}/en-token.bin #If tokenizer is blank, it will use some default (Stanford for English, Exner for Swedish, and whitespace otherwise)
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#TOKENIZER_MODEL="models/chi/stanford-chinese-segmenter-2008-05-21/data" #Use this for chinese.
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LEMMATIZER_MODEL=${MODELDIR}/CoNLL2009-ST-English-ALL.anna-3.3.lemmatizer.model
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POS_MODEL=${MODELDIR}/CoNLL2009-ST-English-ALL.anna-3.3.postagger.model
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#MORPH_MODEL=${MODELDIR}/ #No morph model for English.
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PARSER_MODEL=${MODELDIR}/CoNLL2009-ST-English-ALL.anna-3.3.parser.model
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SRL_MODEL=${MODELDIR}/CoNLL2009-ST-English-ALL.anna-3.3.srl.model
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PORT=8072 #The port to listen on
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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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DIST_ROOT=`dirname $0`/..
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CP=${DIST_ROOT}/srl.jar
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for jar in ${DIST_ROOT}/lib/*.jar; do
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# echo $jar
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CP=${CP}:$jar
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done
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#exit 0;
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JVM_ARGS="-Djava.awt.headless=true -cp $CP -Xmx$MEM"
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# The java.awt.headless property is needed to render the images of dependency graphs if the server is executed remotely (and there is no GUI stuff involved anyway)
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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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#RERANKER="-reranker" #Uncomment this if you want to use a reranker too. The model is assumed to contain a reranker. While training, the corresponding parameter has to be provided.
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CMD="$JAVA $JVM_ARGS se.lth.cs.srl.http.SRLHttpPipeline $Lang $RERANKER -tagger $POS_MODEL -parser $PARSER_MODEL -srl $SRL_MODEL -port $PORT"
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if [ "$TOKENIZER_MODEL" != "" ]; then
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CMD=${CMD}" -token $TOKENIZER_MODEL"
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fi
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if [ "$LEMMATIZER_MODEL" != "" ]; then
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CMD="$CMD -lemma $LEMMATIZER_MODEL"
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fi
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if [ "$MORPH_MODEL" != "" ]; then
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CMD="$CMD -morph $MORPH_MODEL"
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fi
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echo "Executing: $CMD"
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$CMD
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