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rouge.properties
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#==Project Directory==
#root directory for system and reference summaries
project.dir=projects/test-summarization
#==ROUGE-TYPE==
#topic, topicUniq, normal
#don't change this if you are not sure what this does
rouge.type=normal
#what type rouge-metric to use?
#options:1,2,3,..N; S1,S2,S3...SN; SU1, SU2, SU3...SUN; L
#you can specify multiple rouge metrics just use comma for separation
ngram=L,1,2,SU4
# this is to compute F-score
# setting beta to 1 makes this equivalent to the harmonic mean between precision and recall
# use a large beta value to give more weight to recall (Document Understanding Conference used a large DUC value for eval)
# setting a beta value < 1 gives preference to precision. Use 0.5 if you want to give more weights to precision.
beta=1
#==STOP WORDS==
#remove stop words?
stopwords.use=true
#location of stop words file (can change based on language)
stopwords.file=resources/stopwords-rouge-default.txt
#==TOPIC SETTINGS==
#only set this if topic or topicUniq are used
topic.type=nn|jj
#==SYNONYM SETTINGS==
#use synonyms?
synonyms.use=false
#requires WordNet installation
synonyms.dir=default
#==POS Tagging Settings (needed for topic and synonyms)==
#Note that this is based on the available stanford taggers. The german and french versions in this distribution does not seem to work.
#arabic.tagger
#chinese-distsim.tagger
#chinese-nodistsim.tagger
#english-bidirectional-distsim.tagger
#english-caseless-left3words-distsim.tagger
#english-left3words-distsim.tagger - default
#french.tagger - may not work!!
#german-dewac.tagger - may not work!!
#german-fast.tagger - may not work!!
#german-hgc.tagger - may not work!!
pos_tagger_name=english-bidirectional-distsim.tagger
#====STEMMER SETTINGS===
#options
#danishStemmer
#turkishStemmer
#englishStemmer
#frenchStemmer
#germanStemmer
#dutchStemmer
#portugueseStemmer
stemmer.name=englishStemmer
#use stemming?
stemmer.use=false
#==Output Settings==
#options:file,console
#the file option prints to screen and generates CSV output file
output=file
outputFile=results.csv