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Creates n-grams from TOKEN lex items of size min-max. Breaks n-grams on SPLIT_FLAGS
Operates On: Lexical Items with TOKEN and possibly other flags as specified below.
Generic Configuration Parameters
-
boundaryFlags ( type=string array
| optional
)
- List of vertex flags that indicate the beginning and end of a text block.
Tokens to process must be inside two vertices marked with this flag (e.g ["TEXT_BLOCK_SPLIT"]) -
skipFlags ( type=string array
| optional
)
- Flags to be skipped by this stage.
Tokens marked with this flag will be ignored by this stage, and no processing will be performed. -
requiredFlags ( type=string array
| optional
)
- Lex items flags required by every token to be processed.
Tokens need to have all of the specified flags in order to be processed. -
atLeastOneFlag ( type=string array
| optional
)
- Lex items flags needed by every token to be processed.
Tokens will need at least one of the flags specified in this array. -
confidenceAdjustment ( type=double
| default=1
| required
)
- Adjustment factor to apply to the confidence value of 0.0 to 2.0 from (Applies for every pattern match).
- 0.0 to < 1.0 decreases confidence value
- 1.0 confidence value remains the same
- > 1.0 to 2.0 increases confidence value
-
debug ( type=boolean
| default=false
| optional
)
- Enable all debug log functionality for the stage, if any.
-
enable ( type=boolean
| default=true
| optional
)
- Indicates if the current stage should be consider for the Pipeline Manager
- Only applies for automatic pipeline building
Configuration Parameters
-
min ( type=integer
| default=2
| optional
)
- Minimum number of tokens for ngram
-
max ( type=integer
| default=2
| optional
)
- Maximum of tokens for ngram
-
splitFlags ( type=string array
| optional
)
- Split the N-Gram if any of the next token has one of this flags. (i.e. if a token has any of this flags, stops the building of the N-Gram)
-
ignoreOnBoundaryFlags ( type=string array
| default=cheese
| optional
)
- Specifies flags for token that will not be added to an N-Gram
$action.getHelper().renderConfluenceMacro("$codeS$body$codeE")
Example Output
$action.getHelper().renderConfluenceMacro("$codeS$body$codeE")
Output Flags
Lex-Item Flags:
- SEMANTIC_TAG - Identifies all lexical items which are semantic tags.
- ALL_LOWER_CASE - All of the characters in the token are lower-case characters.
- ALL_UPPER_CASE - All of the characters in the token are upper-case characters (for example, acronyms).
- MIXED_CASE - Handles any mixed upper & lower case scenario not covered above.
- TOKEN - All tokens produced are tagged as TOKEN
- NGRAM - All tokens produced are tagged as NGRAM
Vertex Flags: