Oscar tagger

Assigns chemical named entity tags to terms which are recognized by the OSCAR chemical named entity recognizer framework version 4.1.2 (see https://bitbucket.org/wwmm/oscar4/overview for details). As tags the default named entity types of the OSCAR framework are used (see http://apidoc.ch.cam.ac.uk/oscar4-4.0.1/). The OSCAR tag filter is afterwards able to filter the assigned tags.

Options

Tagger options

Set named entities unmodifiable

Sets recognized named entity terms unmodifiable.

General options

Number of maximal parallel tagging processes

Defines the maximal number of parallel threads that are used for tagging. Please note, that for each thread a tagging model will be loaded into memory. If this value is set to a number greater than 1, make sure that enough heap space is available, in order to be able to load the models. If you are not sure how much heap is available for KNIME, leave the number to 1.

Word tokenizer

Select the tokenizer used for word tokenization. Go to Preferences -> KNIME -> Textprocessing to read the description for each tokenizer.

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Workflows

• text2strNodePit Space
• text2strKNIME Hub

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