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module__org.bibliome.alvisnlp.modules.tees.TEESClassify

Robert Bossy edited this page Jul 27, 2017 · 1 revision

#org.bibliome.alvisnlp.modules.tees.TEESClassify

Synopsis

Classify an alvis relation with the TEES Classifier

Description

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

Parameters

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

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