Nahrát soubory do „pages/students/2016/jakub_maruniak/dp2021/annotation/train“
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mkdir -p build
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mkdir -p build/input
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# Prepare Treebank
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mkdir -p build/input/slovak-treebank
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spacy convert ./sources/slovak-treebank/stb.conll ./build/input/slovak-treebank
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# UDAG used as evaluation
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mkdir -p build/input/ud-artificial-gapping
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spacy convert ./sources/ud-artificial-gapping/sk-ud-crawled-orphan.conllu ./build/input/ud-artificial-gapping
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# Prepare skner
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mkdir -p build/input/skner
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# Convert to IOB
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cat ./sources/skner/wikiann-sk.bio | python ./sources/bio-to-iob.py > build/input/skner/wikiann-sk.iob
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# Split to train test
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cat ./build/input/skner/wikiann-sk.iob | python ./sources/iob-to-traintest.py ./build/input/skner/wikiann-sk
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# Convert train and test
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mkdir -p build/input/skner-train
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spacy convert -n 15 --converter ner ./build/input/skner/wikiann-sk.train ./build/input/skner-train
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mkdir -p build/input/skner-test
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spacy convert -n 15 --converter ner ./build/input/skner/wikiann-sk.test ./build/input/skner-test
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set -e
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OUTDIR=build/train/output
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TRAINDIR=build/train
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mkdir -p $TRAINDIR
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mkdir -p $OUTDIR
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mkdir -p dist
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# Delete old training results
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rm -rf $OUTDIR/*
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# Train dependency and POS
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spacy train sk $OUTDIR ./build/input/slovak-treebank ./build/input/ud-artificial-gapping --n-iter 20 -p tagger,parser
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rm -rf $TRAINDIR/posparser
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mv $OUTDIR/model-best $TRAINDIR/posparser
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# Train NER
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# python ./train.py -t ./train.json -o $TRAINDIR/nerposparser -n 10 -m $TRAINDIR/posparser/
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spacy train sk $TRAINDIR/nerposparser ./ner/train.json ./ner/eval.json --n-iter 20 -p ner
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# Package model
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spacy package $TRAINDIR/nerposparser dist --meta-path ./meta.json --force
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cd dist/sk_sk1-0.2.0
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python ./setup.py sdist --dist-dir ../
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