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Operates On: Lexical Items with TOKEN within TEXT_BLOCK_SPLIT or SENTENCE_SPLIT vertex flags.
Saga_is_recognizer
Library: saga-classification-trainer-stage
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Models can be trained directly with OpenNLP tools or from the Saga UI. See Classifier Recognizer in the User Manual for more information on how to create a model using Saga. |
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The stage will use |
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boundaryFlags specified to split the input text in sentences. All text between boundaries |
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is considered a sentence and will be evaluated separately by the classifier. |
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Configuration Parameters
Parameter summary if used with automatic pipeline creation, it assigns the tag to which the recognizer belongs to. default match name tagWith Parameter summary Probability threshold. Will only tag sentences that match better or equal to prob. default 0.95 name prob type double Parameter summary File location of the model. name model
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Parameter
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| language | js |
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| theme | Eclipse |
| title | Example Configuration |
summary List of Tags used to normalize the text name normalize type string array - For example, let's say you want to normalize all different numbers in the text. You can create a "Numeric" tag using the numeric recognizer, that way each different number will me normalized to "{Numeric}".
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"tagWith": "NAME-OF-OUTPUT-TAG", |
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"prob": |
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0.95, "positiveRatio":0.5, |
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"model": ".\model-file.bin" |
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"normalize": [] |
Example Output
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In this case, a sentence breaker stage was configured before the classifier stage. The tagWith value is animal-incident for this example.
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V-------------------------------------[BIRD STRIKE DURING DESCENT. DAMAGE LIMITED TO 18 INCH DENT BOTTOM OUTBOARD SIDE OF ENGINE COWLING.]--------------------------------------V
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^-----------[BIRD STRIKE DURING DESCENT]-----------V------------------------[DAMAGE LIMITED TO 18 INCH DENT BOTTOM OUTBOARD SIDE OF ENGINE COWLING]------------------------V-[]-^
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^---[BIRD]---V---[STRIKE]---V-[DURING]-V-[DESCENT]-^--[DAMAGE]--V-[LIMITED]-V-[TO]-V-[18]-V-[INCH]-V-[DENT]-V-[BOTTOM]-V-[OUTBOARD]-V-[SIDE]-V-[OF]-V-[ENGINE]-V-[COWLING]-^
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^---[bird]---^---[strike]---^-[during]-^-[descent]-^--[damage]--^-[limited]-^-[to]-^ ^-[inch]-^-[dent]-^-[bottom]-^-[outboard]-^-[side]-^-[of]-^-[engine]-^-[cowling]-^
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^--[{bird}]--^-[{physical}]-^--[dure]--^ ^-[{damage}]-^--[limit]--^
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^-[{animal}]-^--[{damage}]--^
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^---------------[{animal-incident}]----------------^ |
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Output Flags
Lex-Item Flags
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- CLASSIFICATION - Flags the sentence that matched the model's criteria.
- SEMANTIC_TAG - Flags the sentence that matched as a semantic tag.
Vertex Flags
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No vertices are created in this stage. |
Overview
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