Oscar tagger

Go to Product
This Node Is Deprecated — This node is kept for backwards-compatibility, but the usage in new workflows is no longer recommended. The documentation below might contain more information.

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.

Input Ports

Icon
The input table containing the documents to tag.

Output Ports

Icon
An output table containing the tagged documents.

Views

This node has no views

Workflows

Links

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.