44 lines
1.2 KiB
Properties
44 lines
1.2 KiB
Properties
# annotators
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annotators = tokenize, ssplit, mwt, pos, lemma, ner, depparse, kbp
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# tokenize
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tokenize.language = es
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# mwt
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mwt.mappingFile = edu/stanford/nlp/models/mwt/spanish/spanish-mwt.tsv
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# pos
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pos.model = edu/stanford/nlp/models/pos-tagger/spanish-ud.tagger
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# ner
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ner.model = edu/stanford/nlp/models/ner/spanish.ancora.distsim.s512.crf.ser.gz
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ner.applyNumericClassifiers = true
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ner.useSUTime = true
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ner.language = es
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# sutime
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sutime.language = spanish
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# parse
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parse.model = edu/stanford/nlp/models/srparser/spanishSR.beam.ser.gz
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# depparse
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depparse.model = edu/stanford/nlp/models/parser/nndep/UD_Spanish.gz
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depparse.language = spanish
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# regexner
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ner.fine.regexner.mapping = edu/stanford/nlp/models/kbp/spanish/gazetteers/kbp_regexner_mapping_sp.tag
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ner.fine.regexner.validpospattern = (NOUN|ADJ|PROPN).*
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ner.fine.regexner.ignorecase = true
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ner.fine.regexner.noDefaultOverwriteLabels = CITY,COUNTRY,STATE_OR_PROVINCE
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# kbp
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kbp.semgrex = edu/stanford/nlp/models/kbp/spanish/semgrex
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kbp.tokensregex = edu/stanford/nlp/models/kbp/spanish/tokensregex
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kbp.model = none
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kbp.language = es
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# entitylink
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entitylink.caseless = true
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entitylink.wikidict = edu/stanford/nlp/models/kbp/spanish/wikidict_spanish.tsv
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