com.johnsnowlabs.nlp.annotators.context
ContextualEntityRuler
Companion object ContextualEntityRuler
class ContextualEntityRuler extends AnnotatorModel[ContextualEntityRuler] with HasSimpleAnnotate[ContextualEntityRuler] with HandleExceptionParams with HasSafeAnnotate[ContextualEntityRuler] with CheckLicense
ContextualEntityRuler is an annotator that updates chunks based on contextual rules.
These rules are defined in the ContextualEntityRulerRules
class and can include prefixes, suffixes, and
the context within a specified scope window around the chunk.
This annotator modifies the detected chunks by replacing their entity labels or content based on matching patterns and rules. It is particularly useful for refining entity recognition results in domain-specific text processing.
Example
Define pipeline stages to extract entities:
val documentAssembler = new DocumentAssembler() .setInputCol("text") .setOutputCol("document") val sentenceDetector = new SentenceDetector() .setInputCols("document") .setOutputCol("sentences") val tokenizer = new Tokenizer() .setInputCols("sentences") .setOutputCol("tokens") val embeddings = WordEmbeddingsModel .pretrained("embeddings_clinical", "en", "clinical/models") .setInputCols("sentences", "tokens") .setOutputCol("embeddings") val medicalNerModel = MedicalNerModel .pretrained("ner_deid_generic_augmented", "en", "clinical/models") .setInputCols("sentences", "tokens", "embeddings") .setOutputCol("ner") val nerChunks = new NerConverterInternal() .setInputCols("sentences", "tokens", "ner") .setOutputCol("nerChunks")
Define ContextualEntityRuler
and set the rules:
val jsonRules = """ |[{ | "entity" : "AGE", | "scopeWindow" : [2, 2], | "scopeWindowLevel" : "token", | "prefixPatterns" : ["is"], | "suffixPatterns" : ["years"], | "replaceEntity" : "REPLACED_AGE" | }] |""".stripMargin val contextualEntityRuler = new ContextualEntityRuler() .setInputCols(Array("sentences", "tokens", "nerChunks")) .setOutputCol("updated_chunks") .setRulesAsStr(jsonRules) .setCaseSensitive(false) .setAllowPunctuationInBetween(true) val pipeline = new Pipeline().setStages( Array( documentAssembler, sentenceDetector, tokenizer, embeddings, medicalNerModel, nerChunks, contextualEntityRuler )) val result = pipeline .fit(Seq.empty[String].toDF("text")) .transform(Seq( "California, known for its beautiful beaches, and he is 36 years old. " + "The Grand Canyon in Arizona, where the age is, 37, is a stunning natural landmark. " + "It was founded on September 9, 1850, and Arizona on February 14, 1912." ).toDF("text"))
Show results:
result.selectExpr("explode(updated_chunks) as filtered").show(100, truncate = false) // Example output: +-----------------+-----+---+--------+ |result |begin|end|entity | +-----------------+-----+---+--------+ |California |0 |9 |LOCATION| |is 36 years |52 |62 |AGE | |Grand Canyon |73 |84 |LOCATION| |Arizona |89 |95 |LOCATION| |is, 37 |112 |117|AGE | |September 9, 1850|170 |186|DATE | |February 14, 1912|204 |220|DATE | +-----------------+-----+---+--------+
Key Concepts
- **Rules**: Define the contextual rules in JSON format, specifying:
entity
: The target entity to match (e.g., AGE).scopeWindow
: A range[x, y]
defining the number of tokens around the entity to consider.scopeWindowLevel
: The level of the scope window (token or char).prefixPatterns
: Patterns to match before the entity (e.g., "is").suffixPatterns
: Patterns to match after the entity (e.g., "years").prefixRegexes
: Regular expressions to match before the entity.suffixRegexes
: Regular expressions to match after the entity.replaceEntity
: The value to replace the matched entity with.mode
: The mode of the rule. It can be either "include" or "exclude".
- **Parameters**:
setCaseSensitive
: Enables case sensitivity in pattern matching.setAllowPunctuationInBetween
: Allows punctuation to appear between matched patterns and entities. -
- Grouped
- Alphabetic
- By Inheritance
- ContextualEntityRuler
- CheckLicense
- HasSafeAnnotate
- HandleExceptionParams
- HasSimpleAnnotate
- AnnotatorModel
- CanBeLazy
- RawAnnotator
- HasOutputAnnotationCol
- HasInputAnnotationCols
- HasOutputAnnotatorType
- ParamsAndFeaturesWritable
- HasFeatures
- DefaultParamsWritable
- MLWritable
- Model
- Transformer
- PipelineStage
- Logging
- Params
- Serializable
- Serializable
- Identifiable
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final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
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final
def
##(): Int
- Definition Classes
- AnyRef → Any
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final
def
$[T](param: Param[T]): T
- Attributes
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- Definition Classes
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def
$$[T](feature: StructFeature[T]): T
- Attributes
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- HasFeatures
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def
$$[K, V](feature: MapFeature[K, V]): Map[K, V]
- Attributes
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- HasFeatures
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def
$$[T](feature: SetFeature[T]): Set[T]
- Attributes
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def
$$[T](feature: ArrayFeature[T]): Array[T]
- Attributes
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final
def
==(arg0: Any): Boolean
- Definition Classes
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-
def
_transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame
- Attributes
- protected
- Definition Classes
- AnnotatorModel
-
def
afterAnnotate(dataset: DataFrame): DataFrame
- Attributes
- protected
- Definition Classes
- AnnotatorModel
- val allowPunctuationInBetween: BooleanParam
-
final
def
annotate(annotations: Seq[Annotation]): Seq[Annotation]
- Definition Classes
- ContextualEntityRuler → HasSimpleAnnotate
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
beforeAnnotate(dataset: Dataset[_]): Dataset[_]
- Attributes
- protected
- Definition Classes
- AnnotatorModel
-
val
caseSensitive: BooleanParam
Whether to use case sensitive when matching values.
Whether to use case sensitive when matching values. Default is false
-
final
def
checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
-
def
checkValidEnvironment(spark: Option[SparkSession], scopes: Seq[String]): Unit
- Definition Classes
- CheckLicense
-
def
checkValidScope(scope: String): Unit
- Definition Classes
- CheckLicense
-
def
checkValidScopeAndEnvironment(scope: String, spark: Option[SparkSession], checkLp: Boolean): Unit
- Definition Classes
- CheckLicense
-
def
checkValidScopesAndEnvironment(scopes: Seq[String], spark: Option[SparkSession], checkLp: Boolean): Unit
- Definition Classes
- CheckLicense
-
final
def
clear(param: Param[_]): ContextualEntityRuler.this.type
- Definition Classes
- Params
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
copy(extra: ParamMap): ContextualEntityRuler
- Definition Classes
- RawAnnotator → Model → Transformer → PipelineStage → Params
-
def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
-
final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
-
def
dfAnnotate: UserDefinedFunction
- Definition Classes
- HasSimpleAnnotate
-
val
doExceptionHandling: BooleanParam
If true, exceptions are handled.
If true, exceptions are handled. If exception causing data is passed to the model, a error annotation is emitted which has the exception message. Processing continues with the next one. This comes with a performance penalty.
- Definition Classes
- HandleExceptionParams
-
val
dropEmptyChunks: BooleanParam
Determines whether to drop chunks with empty content after the exclusion process, or if they should be retained unchanged.
Determines whether to drop chunks with empty content after the exclusion process, or if they should be retained unchanged. For example, if a chunk like "September" is matched by a prefix pattern "September", and the mode is set to 'exclude', the chunk will be excluded. After exclusion, the decision is made whether to drop the chunk if its content is empty, or keep it unchanged.
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
explainParam(param: Param[_]): String
- Definition Classes
- Params
-
def
explainParams(): String
- Definition Classes
- Params
-
def
extraValidate(structType: StructType): Boolean
- Attributes
- protected
- Definition Classes
- RawAnnotator
-
def
extraValidateMsg: String
- Attributes
- protected
- Definition Classes
- RawAnnotator
-
final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
-
final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
-
val
features: ArrayBuffer[Feature[_, _, _]]
- Definition Classes
- HasFeatures
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
def
get[T](feature: StructFeature[T]): Option[T]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
get[T](feature: SetFeature[T]): Option[Set[T]]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
get[T](feature: ArrayFeature[T]): Option[Array[T]]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getAllowPunctuationInBetween: Boolean
- def getCaseSensitive: Boolean
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getInputCols: Array[String]
- Definition Classes
- HasInputAnnotationCols
-
def
getLazyAnnotator: Boolean
- Definition Classes
- CanBeLazy
-
def
getMergeOverlapping: Boolean
Whether to merge overlapping matched chunks.
Whether to merge overlapping matched chunks. Defaults false
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
-
final
def
getOutputCol: String
- Definition Classes
- HasOutputAnnotationCol
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
-
def
getRules: Array[ContextualEntityRulerRules]
Get ContextualEntityRulerRules param
-
final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
def
hasParent: Boolean
- Definition Classes
- Model
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
val
inExceptionMode: Boolean
- Attributes
- protected
- Definition Classes
- HasSafeAnnotate
-
def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
-
def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
val
inputAnnotatorTypes: Array[String]
DOCUMENT, CHUNK, TOKEN
DOCUMENT, CHUNK, TOKEN
- Definition Classes
- ContextualEntityRuler → HasInputAnnotationCols
-
final
val
inputCols: StringArrayParam
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
def
isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
-
val
lazyAnnotator: BooleanParam
- Definition Classes
- CanBeLazy
-
def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
-
def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logDebug(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logError(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logError(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logInfo(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logName: String
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrace(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logWarning(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
val
mergeOverlapping: BooleanParam
whether to merge overlapping matched chunks.
whether to merge overlapping matched chunks. Default false.
-
def
msgHelper(schema: StructType): String
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
def
onWrite(path: String, spark: SparkSession): Unit
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesWritable
-
val
optionalInputAnnotatorTypes: Array[String]
- Definition Classes
- HasInputAnnotationCols
-
val
outputAnnotatorType: AnnotatorType
CHUNK
CHUNK
- Definition Classes
- ContextualEntityRuler → HasOutputAnnotatorType
-
final
val
outputCol: Param[String]
- Attributes
- protected
- Definition Classes
- HasOutputAnnotationCol
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
var
parent: Estimator[ContextualEntityRuler]
- Definition Classes
- Model
-
val
rules: StructFeature[Array[ContextualEntityRulerRules]]
The rules parameter is used to set the rules.
The rules parameter is used to set the rules. The rules is an array of ContextualEntityRulerRules.
-
def
safeAnnotate(annotations: Seq[Annotation]): Seq[Annotation]
A protected method designed to safely annotate a sequence of Annotation objects by handling exceptions.
A protected method designed to safely annotate a sequence of Annotation objects by handling exceptions.
- annotations
A sequence of Annotation.
- returns
A sequence of Annotation objects after processing, potentially containing error annotations.
- Attributes
- protected
- Definition Classes
- HasSafeAnnotate
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
def
set[T](feature: StructFeature[T], value: T): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
set[K, V](feature: MapFeature[K, V], value: Map[K, V]): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
set[T](feature: SetFeature[T], value: Set[T]): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
set[T](feature: ArrayFeature[T], value: Array[T]): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
final
def
set(paramPair: ParamPair[_]): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): ContextualEntityRuler.this.type
- Definition Classes
- Params
- def setAllowPunctuationInBetween(value: Boolean): ContextualEntityRuler.this.type
-
def
setCaseSensitive(value: Boolean): ContextualEntityRuler.this.type
Whether to use case sensitive when matching values.
Whether to use case sensitive when matching values. Default is false
-
def
setDefault[T](feature: StructFeature[T], value: () ⇒ T): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
final
def
setDefault(paramPairs: ParamPair[_]*): ContextualEntityRuler.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): ContextualEntityRuler.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
-
def
setDoExceptionHandling(value: Boolean): ContextualEntityRuler.this.type
If true, exceptions are handled.
If true, exceptions are handled. If exception causing data is passed to the model, a error annotation is emitted which has the exception message. Processing continues with the next one. This comes with a performance penalty.
- Definition Classes
- HandleExceptionParams
- def setDropEmptyChunks(value: Boolean): ContextualEntityRuler.this.type
-
final
def
setInputCols(value: String*): ContextualEntityRuler.this.type
- Definition Classes
- HasInputAnnotationCols
-
def
setInputCols(value: Array[String]): ContextualEntityRuler.this.type
- Definition Classes
- HasInputAnnotationCols
-
def
setLazyAnnotator(value: Boolean): ContextualEntityRuler.this.type
- Definition Classes
- CanBeLazy
-
def
setMergeOverlapping(v: Boolean): ContextualEntityRuler.this.type
Whether to merge overlapping matched chunks.
Whether to merge overlapping matched chunks. Defaults false
-
final
def
setOutputCol(value: String): ContextualEntityRuler.this.type
- Definition Classes
- HasOutputAnnotationCol
-
def
setParent(parent: Estimator[ContextualEntityRuler]): ContextualEntityRuler
- Definition Classes
- Model
-
def
setRules(value: Array[ContextualEntityRulerRules]): ContextualEntityRuler.this.type
Set the rules parameter.
Set the rules parameter. The rules is an array of ContextualEntityRulerRules. Default: Array.empty
- def setRulesAsStr(value: String): ContextualEntityRuler.this.type
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
final
def
transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- AnnotatorModel → Transformer
-
def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
-
def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" ) @varargs()
-
final
def
transformSchema(schema: StructType): StructType
- Definition Classes
- RawAnnotator → PipelineStage
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- ContextualEntityRuler → Identifiable
-
def
validate(schema: StructType): Boolean
- Attributes
- protected
- Definition Classes
- RawAnnotator
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
wrapColumnMetadata(col: Column): Column
- Attributes
- protected
- Definition Classes
- RawAnnotator
-
def
write: MLWriter
- Definition Classes
- ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable
Inherited from CheckLicense
Inherited from HasSafeAnnotate[ContextualEntityRuler]
Inherited from HandleExceptionParams
Inherited from HasSimpleAnnotate[ContextualEntityRuler]
Inherited from AnnotatorModel[ContextualEntityRuler]
Inherited from CanBeLazy
Inherited from RawAnnotator[ContextualEntityRuler]
Inherited from HasOutputAnnotationCol
Inherited from HasInputAnnotationCols
Inherited from HasOutputAnnotatorType
Inherited from ParamsAndFeaturesWritable
Inherited from HasFeatures
Inherited from DefaultParamsWritable
Inherited from MLWritable
Inherited from Model[ContextualEntityRuler]
Inherited from Transformer
Inherited from PipelineStage
Inherited from Logging
Inherited from Params
Inherited from Serializable
Inherited from Serializable
Inherited from Identifiable
Inherited from AnyRef
Inherited from Any
Parameters
Annotator types
Required input and expected output annotator types