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dc.contributor.author Šimečková, Zuzana
dc.contributor.author Straka, Milan
dc.date.accessioned 2020-08-17T13:17:17Z
dc.date.available 2020-08-17T13:17:17Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/11234/1-3266
dc.description Relationship extraction models for the Czech language. Models are trained on CERED (dataset created by distant supervision on Czech Wikipedia and Wikidata) and recognize a subset of Wikidata relations (listed in CEREDx.LABELS). We supply a demo.py that performs inference on user-defined input and requirements.txt file for pip. Adapt the demo code to use the model. Both the dataset and the models are presented in Relationship Extraction thesis.
dc.language.iso ces
dc.publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject relationship extraction
dc.title CERED baseline models
dc.type languageDescription
metashare.ResourceInfo#ContentInfo.mediaType text
metashare.ResourceInfo#ContentInfo.detailedType mlmodel
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
contact.person Milan Straka straka@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
files.size 3307634525
files.count 8


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CERED0_models.zip
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634.72 MB
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CERED0 model and labels
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    • CERED0_LABELS23 kB
    • CERED0.hdf5684 MB
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CERED1_model.zip
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CERED1 model and labels
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    • CERED1.hdf5679 MB
    • CERED1_LABELS2 kB
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CERED2_model.zip
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CERED2 model and labels
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    • CERED2_LABELS2 kB
    • CERED2.hdf5679 MB
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CERED3model.zip
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CERED3 model and labels
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    • CERED3.hdf5679 MB
    • CERED3_LABELS2 kB
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CERED4model.zip
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CERED4 model and labels
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    • CERED4.hdf5679 MB
    • CERED4_LABELS1 kB
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relation_extraction_model_base.py
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Model definition
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demo.py
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Demo
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requirements.txt
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Requirements to run the demo
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pip==20.0.2
tensorboardX==2.0
tensorflow==2.1.0
tensorflow-datasets==2.0.0
tensorflow-gpu==2.1.0
transformers==2.4.1
wget==3.2
zipp==3.1.0 . . .
                                            

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