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Oscar Tagger

StreamableKNIME Textprocessing Plug-in version 4.3.0.v202011212014 by KNIME AG, Zurich, Switzerland

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

General options

Document column: The column containing the documents to tag.
Replace column: If checked, the documents of the selected document column will be replaced by the new tagged documents. Otherwise the tagged documents will be appended as new column.
Append column: The name of the new appended column, containing the tagged documents.
Word tokenizer: Select the tokenizer used for word tokenization. Go to Preferences -> KNIME -> Textprocessing to read the description for each tokenizer.
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.

Tagger options

Set named entities unmodifiable: Sets recognized named entity terms unmodifiable.

Input Ports

: The input table containing the documents to tag.

Output Ports

: An output table containing the tagged documents.

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Workflows

ContentMine (KNIME Hub)

Installation

To use this node in KNIME, install KNIME Textprocessing from the following update site:

KNIME 4.3

A zipped version of the software site can be downloaded here.

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Developers

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