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[submodule "bilateral-srl"]
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path = bilateral-srl
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url = https://github.com/clarinsi/bilateral-srl.git
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Subproject commit 86642e18665ce5304f57b3e38ef18057807eaae8
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FROM java
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FROM java
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RUN apt-get update
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RUN apt-get install -y \
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vim
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#!/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.Parse --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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INPUT=~/corpora/conll09/spa/CoNLL2009-ST-evaluation-Spanish-SRLonly.txt
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Lang="spa"
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MODEL="./srl-spa.model"
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OUTPUT="${Lang}-eval.out"
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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="2g" #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:lib/anna.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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#RERANKER="-reranker" #Uncomment this if you want to use a reranker too. The model is assumed to contain a reranker. While training, this has to be set appropriately.
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NOPI="-nopi" #Uncomment this if you want to skip the predicate identification step. This setting is equivalent to the CoNLL 2009 ST.
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CMD="$JAVA $JVM_ARGS se.lth.cs.srl.Parse $Lang $INPUT $MODEL $RERANKER $NOPI $OUTPUT"
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echo "Executing: $CMD"
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$CMD
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