module__GeniaTagger

#org.bibliome.alvisnlp.modules.geniatagger.GeniaTagger

Synopsis

Runs Genia Tagger on annotations.

Description

org.bibliome.alvisnlp.modules.geniatagger.GeniaTagger executes theGenia Tagger on annotations from the layer words and record the results in the features specified by pos, lemma, chunk and entity. org.bibliome.alvisnlp.modules.geniatagger.GeniaTagger reinforces sentences specified by annotations in the sentences layer.

Parameters

geniaDir

Optional

Type: File

Directory where geniatagger is installed.

chunkFeature

Optional

Type: String

UNDOCUMENTED

entityFeature

Optional

Type: String

UNDOCUMENTED

documentFilter

Default value: true

Type: Expression

Only process document that satisfy this filter.

geniaCharset

Default value: UTF-8

Type: String

Character encoding of geniatagger input and output.

geniaTaggerExecutable

Default value: geniatagger

Type: File

Name of the geniatagger executable file.

lemmaFeature

Default value: lemma

Type: String

UNDOCUMENTED

posFeature

Default value: pos

Type: String

UNDOCUMENTED

sectionFilter

Default value: boolean:and(true, boolean:and(nav:layer:sentences(), nav:layer:words()))

Type: Expression

Process only sections that satisfy this filter.

sentenceFilter

Default value: true

Type: Expression

Evaluated as a boolean with the sentence annotation as the context element. org.bibliome.alvisnlp.modules.geniatagger.GeniaTagger only process the sentence if the result is true. To filter sentences that are too long for Genia Tagger, use "length < 1024".

sentenceLayerName

Default value: sentences

Type: String

UNDOCUMENTED

treeTaggerTagset

Default value: false

Type: Boolean

UNDOCUMENTED

wordFormFeature

Default value: form

Type: String

UNDOCUMENTED

wordLayerName

Default value: words

Type: String

UNDOCUMENTED