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com.johnsnowlabs.nlp.annotators.er

EntityRulerApproach

class EntityRulerApproach extends AnnotatorApproach[EntityRulerModel] with HasStorage

Fits an Annotator to match exact strings or regex patterns provided in a file against a Document and assigns them an named entity. The definitions can contain any number of named entities.

There are multiple ways and formats to set the extraction resource. It is possible to set it either as a "JSON", "JSONL" or "CSV" file. A path to the file needs to be provided to setPatternsResource. The file format needs to be set as the "format" field in the option parameter map and depending on the file type, additional parameters might need to be set.

To enable regex extraction, setEnablePatternRegex(true) needs to be called.

If the file is in a JSON format, then the rule definitions need to be given in a list with the fields "id", "label" and "patterns":

 [
  {
    "id": "person-regex",
    "label": "PERSON",
    "patterns": ["\\w+\\s\\w+", "\\w+-\\w+"]
  },
  {
    "id": "locations-words",
    "label": "LOCATION",
    "patterns": ["Winterfell"]
  }
]

The same fields also apply to a file in the JSONL format:

{"id": "names-with-j", "label": "PERSON", "patterns": ["Jon", "John", "John Snow"]}
{"id": "names-with-s", "label": "PERSON", "patterns": ["Stark", "Snow"]}
{"id": "names-with-e", "label": "PERSON", "patterns": ["Eddard", "Eddard Stark"]}

In order to use a CSV file, an additional parameter "delimiter" needs to be set. In this case, the delimiter might be set by using .setPatternsResource("patterns.csv", ReadAs.TEXT, Map("format"->"csv", "delimiter" -> "\\|"))

PERSON|Jon
PERSON|John
PERSON|John Snow
LOCATION|Winterfell

Example

In this example, the entities file as the form of

PERSON|Jon
PERSON|John
PERSON|John Snow
LOCATION|Winterfell

where each line represents an entity and the associated string delimited by "|".

import spark.implicits._
import com.johnsnowlabs.nlp.base.DocumentAssembler
import com.johnsnowlabs.nlp.annotators.Tokenizer
import com.johnsnowlabs.nlp.annotators.er.EntityRulerApproach
import com.johnsnowlabs.nlp.util.io.ReadAs

import org.apache.spark.ml.Pipeline

val documentAssembler = new DocumentAssembler()
  .setInputCol("text")
  .setOutputCol("document")

val tokenizer = new Tokenizer()
  .setInputCols("document")
  .setOutputCol("token")

val entityRuler = new EntityRulerApproach()
  .setInputCols("document", "token")
  .setOutputCol("entities")
  .setPatternsResource(
    path = "src/test/resources/entity-ruler/patterns.csv",
    readAs = ReadAs.TEXT,
    options = Map("format" -> "csv", "delimiter" -> "\\|")
  )
  .setEnablePatternRegex(true)

val pipeline = new Pipeline().setStages(Array(
  documentAssembler,
  tokenizer,
  entityRuler
))

val data = Seq("Jon Snow wants to be lord of Winterfell.").toDF("text")
val result = pipeline.fit(data).transform(data)

result.selectExpr("explode(entities)").show(false)
+--------------------------------------------------------------------+
|col                                                                 |
+--------------------------------------------------------------------+
|[chunk, 0, 2, Jon, [entity -> PERSON, sentence -> 0], []]           |
|[chunk, 29, 38, Winterfell, [entity -> LOCATION, sentence -> 0], []]|
+--------------------------------------------------------------------+
Linear Supertypes
HasStorage, HasCaseSensitiveProperties, HasExcludableStorage, HasStorageRef, ParamsAndFeaturesWritable, HasFeatures, AnnotatorApproach[EntityRulerModel], CanBeLazy, DefaultParamsWritable, MLWritable, HasOutputAnnotatorType, HasOutputAnnotationCol, HasInputAnnotationCols, Estimator[EntityRulerModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. EntityRulerApproach
  2. HasStorage
  3. HasCaseSensitiveProperties
  4. HasExcludableStorage
  5. HasStorageRef
  6. ParamsAndFeaturesWritable
  7. HasFeatures
  8. AnnotatorApproach
  9. CanBeLazy
  10. DefaultParamsWritable
  11. MLWritable
  12. HasOutputAnnotatorType
  13. HasOutputAnnotationCol
  14. HasInputAnnotationCols
  15. Estimator
  16. PipelineStage
  17. Logging
  18. Params
  19. Serializable
  20. Serializable
  21. Identifiable
  22. AnyRef
  23. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new EntityRulerApproach()
  2. new EntityRulerApproach(uid: String)

    uid

    required uid for storing annotator to disk

Type Members

  1. type AnnotatorType = String
    Definition Classes
    HasOutputAnnotatorType

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. def $$[T](feature: StructFeature[T]): T
    Attributes
    protected
    Definition Classes
    HasFeatures
  5. def $$[K, V](feature: MapFeature[K, V]): Map[K, V]
    Attributes
    protected
    Definition Classes
    HasFeatures
  6. def $$[T](feature: SetFeature[T]): Set[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  7. def $$[T](feature: ArrayFeature[T]): Array[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  8. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def _fit(dataset: Dataset[_], recursiveStages: Option[PipelineModel]): EntityRulerModel
    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  10. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  11. def beforeTraining(spark: SparkSession): Unit
    Definition Classes
    AnnotatorApproach
  12. val caseSensitive: BooleanParam

    Whether to ignore case in index lookups (Default depends on model)

    Whether to ignore case in index lookups (Default depends on model)

    Definition Classes
    HasCaseSensitiveProperties
  13. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  14. final def clear(param: Param[_]): EntityRulerApproach.this.type
    Definition Classes
    Params
  15. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  16. final def copy(extra: ParamMap): Estimator[EntityRulerModel]
    Definition Classes
    AnnotatorApproach → Estimator → PipelineStage → Params
  17. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  18. def createDatabaseConnection(database: Name): RocksDBConnection
    Definition Classes
    HasStorageRef
  19. def createWriter(database: Name, connection: RocksDBConnection): StorageWriter[_]
    Attributes
    protected
    Definition Classes
    EntityRulerApproachHasStorage
  20. val databases: Array[Name]
    Attributes
    protected
    Definition Classes
    EntityRulerApproachHasStorage
  21. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  22. val description: String
    Definition Classes
    EntityRulerApproachAnnotatorApproach
  23. val enablePatternRegex: BooleanParam

    Enables regex pattern match (Default: false).

  24. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  25. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  26. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  27. def explainParams(): String
    Definition Classes
    Params
  28. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  29. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  30. val features: ArrayBuffer[Feature[_, _, _]]
    Definition Classes
    HasFeatures
  31. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  32. final def fit(dataset: Dataset[_]): EntityRulerModel
    Definition Classes
    AnnotatorApproach → Estimator
  33. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[EntityRulerModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  34. def fit(dataset: Dataset[_], paramMap: ParamMap): EntityRulerModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  35. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): EntityRulerModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  36. def get[T](feature: StructFeature[T]): Option[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  37. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  38. def get[T](feature: SetFeature[T]): Option[Set[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  39. def get[T](feature: ArrayFeature[T]): Option[Array[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  40. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  41. def getCaseSensitive: Boolean

    Definition Classes
    HasCaseSensitiveProperties
  42. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  43. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  44. def getIncludeStorage: Boolean
    Definition Classes
    HasExcludableStorage
  45. def getInputCols: Array[String]

    returns

    input annotations columns currently used

    Definition Classes
    HasInputAnnotationCols
  46. def getLazyAnnotator: Boolean
    Definition Classes
    CanBeLazy
  47. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  48. final def getOutputCol: String

    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes
    HasOutputAnnotationCol
  49. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  50. def getStoragePath: Option[ExternalResource]

    Definition Classes
    HasStorage
  51. def getStorageRef: String
    Definition Classes
    HasStorageRef
  52. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  53. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  54. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  55. val includeStorage: BooleanParam
    Definition Classes
    HasExcludableStorage
  56. def index(fitDataset: Dataset[_], storageSourcePath: Option[String], readAs: Option[util.io.ReadAs.Value], writers: Map[Name, StorageWriter[_]], readOptions: Option[Map[String, String]]): Unit
    Attributes
    protected
    Definition Classes
    EntityRulerApproachHasStorage
  57. def indexStorage(fitDataset: Dataset[_], resource: Option[ExternalResource]): Unit
    Definition Classes
    EntityRulerApproachHasStorage
  58. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  59. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. val inputAnnotatorTypes: Array[String]

    Input annotator types: DOCUMENT, TOKEN

    Input annotator types: DOCUMENT, TOKEN

    Definition Classes
    EntityRulerApproachHasInputAnnotationCols
  61. final val inputCols: StringArrayParam

    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  62. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  63. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  64. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  65. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  66. val lazyAnnotator: BooleanParam
    Definition Classes
    CanBeLazy
  67. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  68. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  69. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  74. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  75. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. val missingRefMsg: String
    Attributes
    protected
    Definition Classes
    HasStorage
  80. def msgHelper(schema: StructType): String
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  81. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  82. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  83. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  84. def onTrained(model: EntityRulerModel, spark: SparkSession): Unit
    Definition Classes
    AnnotatorApproach
  85. def onWrite(path: String, spark: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesWritable
  86. val optionalInputAnnotatorTypes: Array[String]
    Definition Classes
    HasInputAnnotationCols
  87. val outputAnnotatorType: AnnotatorType

    Output annotator types: CHUNK

    Output annotator types: CHUNK

    Definition Classes
    EntityRulerApproachHasOutputAnnotatorType
  88. final val outputCol: Param[String]
    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  89. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  90. val patternsResource: ExternalResourceParam

    Resource in JSON or CSV format to map entities to patterns (Default: null).

  91. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  92. def set[T](feature: StructFeature[T], value: T): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  93. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  94. def set[T](feature: SetFeature[T], value: Set[T]): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  95. def set[T](feature: ArrayFeature[T], value: Array[T]): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  96. final def set(paramPair: ParamPair[_]): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    Params
  97. final def set(param: String, value: Any): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    Params
  98. final def set[T](param: Param[T], value: T): EntityRulerApproach.this.type
    Definition Classes
    Params
  99. def setCaseSensitive(value: Boolean): EntityRulerApproach.this.type

    Definition Classes
    HasCaseSensitiveProperties
  100. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  101. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  102. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  103. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  104. final def setDefault(paramPairs: ParamPair[_]*): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    Params
  105. final def setDefault[T](param: Param[T], value: T): EntityRulerApproach.this.type
    Attributes
    protected
    Definition Classes
    Params
  106. def setEnablePatternRegex(value: Boolean): EntityRulerApproach.this.type

  107. def setIncludeStorage(value: Boolean): EntityRulerApproach.this.type
    Definition Classes
    HasExcludableStorage
  108. final def setInputCols(value: String*): EntityRulerApproach.this.type
    Definition Classes
    HasInputAnnotationCols
  109. def setInputCols(value: Array[String]): EntityRulerApproach.this.type

    Overrides required annotators column if different than default

    Overrides required annotators column if different than default

    Definition Classes
    HasInputAnnotationCols
  110. def setLazyAnnotator(value: Boolean): EntityRulerApproach.this.type
    Definition Classes
    CanBeLazy
  111. final def setOutputCol(value: String): EntityRulerApproach.this.type

    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  112. def setPatternsResource(path: String, readAs: Format, options: Map[String, String] = Map("format" -> "JSON")): EntityRulerApproach.this.type

  113. def setStoragePath(path: String, readAs: util.io.ReadAs.Value): EntityRulerApproach.this.type

    Definition Classes
    HasStorage
  114. def setStoragePath(path: String, readAs: String): EntityRulerApproach.this.type

    Definition Classes
    HasStorage
  115. def setStorageRef(value: String): EntityRulerApproach.this.type
    Definition Classes
    HasStorageRef
  116. def setUseStorage(value: Boolean): EntityRulerApproach.this.type

  117. val storagePath: ExternalResourceParam

    Path to the external resource.

    Path to the external resource.

    Definition Classes
    HasStorage
  118. val storageRef: Param[String]

    Unique identifier for storage (Default: this.uid)

    Unique identifier for storage (Default: this.uid)

    Definition Classes
    HasStorageRef
  119. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  120. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  121. def train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): EntityRulerModel
    Definition Classes
    EntityRulerApproachAnnotatorApproach
  122. final def transformSchema(schema: StructType): StructType

    requirement for pipeline transformation validation.

    requirement for pipeline transformation validation. It is called on fit()

    Definition Classes
    AnnotatorApproach → PipelineStage
  123. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  124. val uid: String
    Definition Classes
    EntityRulerApproach → Identifiable
  125. val useStorage: BooleanParam

    Whether to use RocksDB storage to serialize patterns (Default: true).

  126. def validate(schema: StructType): Boolean

    takes a Dataset and checks to see if all the required annotation types are present.

    takes a Dataset and checks to see if all the required annotation types are present.

    schema

    to be validated

    returns

    True if all the required types are present, else false

    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  127. def validateStorageRef(dataset: Dataset[_], inputCols: Array[String], annotatorType: String): Unit
    Definition Classes
    HasStorageRef
  128. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  129. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  130. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  131. def write: MLWriter
    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

Inherited from HasStorage

Inherited from HasExcludableStorage

Inherited from HasStorageRef

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from CanBeLazy

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputAnnotatorType

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from Estimator[EntityRulerModel]

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

A list of (hyper-)parameter keys this annotator can take. Users can set and get the parameter values through setters and getters, respectively.

Annotator types

Required input and expected output annotator types

Members

Parameter setters

Parameter getters