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module__org.bibliome.alvisnlp.modules.tees.TEESClassify
#org.bibliome.alvisnlp.modules.tees.TEESClassify
Classify an alvis relation with the TEES Classifier
org.bibliome.alvisnlp.modules.tees.TEESClassify executes the TEES classify from Corpus and record the results in Relation. The param relationName sets the name of the binary rlation to predict. relationRole1 and and relationRole set the two roles of the relation.org.bibliome.alvisnlp.modules.tees.TEESClassify
Optional
Type: String
Name of the layer containing the named entities
Optional
Type: MultiMapping
Give the schema of the relations to train i.e.
```xml
<schema>
<Lives_In>Bacteria,Location</Lives_In>
</schema>
```
Optional
Type: InputDirectory
Path to the tees Classify executable file.
Optional
Type: InputFile
Path to the trained model to use.
Optional
Type: Mapping
UNDOCUMENTED
Optional
Type: Mapping
UNDOCUMENTED
Default value: label
Type: String
UNDOCUMENTED
Default value: dependencies
Type: String
UNDOCUMENTED
Default value: dependent
Type: String
UNDOCUMENTED
Default value: true
Type: Expression
UNDOCUMENTED
Default value: head
Type: String
UNDOCUMENTED
Default value: neType
Type: String
Name of the feature to access the type of the named entities
Default value: SPLIT-SENTENCES,NER
Type: String
Set the preprocessing steps to omit in the form of PREPROCESS=[SPLIT-SENTENCES][,NER][,PARSE][,FIND-HEADS]
Default value: pos
Type: String
UNDOCUMENTED
Default value: boolean:and(true, boolean:and(nav:layer:words(), nav:layer:sentences()))
Type: Expression
UNDOCUMENTED
Default value: sentences
Type: String
UNDOCUMENTED
Default value: sentence
Type: String
UNDOCUMENTED
Default value: words
Type: String
UNDOCUMENTED