使用机器学习套件提取实体 (Android)

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要分析一段文本并提取其中的实体,请调用 annotate() 方法,并向其传递文本字符串或 EntityExtractionParams(可指定其他选项,例如 使用引用时间、时区或过滤条件来限制对实体子集的搜索 。该 API 会返回 EntityAnnotation 对象的列表,其中包含 每个实体的相关信息。

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SDK 名称实体提取
实现基础检测器的资源在构建时静态关联到您的应用。
素材资源大小影响实体提取对应用大小的影响最大为约 5.6MB。

试试看

  • 您可以试用示例应用, 请查看此 API 的用法示例。

准备工作

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  1. 在项目级 build.gradle 文件中,确保 buildscript 和 allprojects 部分都包含 Google 的 Maven 制品库。
  2. 将机器学习套件实体提取库的依赖项添加到模块的应用级 Gradle 文件(通常名为 app/build.gradle):

    dependencies {
    // …
    
    implementation 'com.google.mlkit:entity-extraction:16.0.0-beta5'
    }
    

提取实体

创建一个 EntityExtractor 对象,并使用 EntityExtractorOptions 对其进行配置

Kotlin

val entityExtractor =
   EntityExtraction.getClient(
       EntityExtractorOptions.Builder(EntityExtractorOptions.ENGLISH)
           .build())

Java

EntityExtractor entityExtractor =
        EntityExtraction.getClient(
            new EntityExtractorOptions.Builder(EntityExtractorOptions.ENGLISH)
                .build());

如果需要,EntityExtractorOptions 还接受用户定义的 Executor,否则将使用机器学习套件中的默认 Executor

确保已将所需的模型下载到设备。

Kotlin

entityExtractor
  .downloadModelIfNeeded()
  .addOnSuccessListener { _ ->
    /* Model downloading succeeded, you can call extraction API here. */
  }
  .addOnFailureListener { _ -> /* Model downloading failed. */ }

Java

entityExtractor
    .downloadModelIfNeeded()
    .addOnSuccessListener(
        aVoid -> {
          // Model downloading succeeded, you can call the extraction API here. 
        })
    .addOnFailureListener(
        exception -> {
          // Model downloading failed.
        });

确认模型已下载后,将字符串或 EntityExtractionParams 传递给 annotate()。 确信模型可用之后,再调用 annotate()

Kotlin

val params =
      EntityExtractionParams.Builder("My flight is LX373, please pick me up at 8am tomorrow.")
        .setEntityTypesFilter((/* optional entity type filter */)
        .setPreferredLocale(/* optional preferred locale */)
        .setReferenceTime(/* optional reference date-time */)
        .setReferenceTimeZone(/* optional reference timezone */)
        .build()
entityExtractor
      .annotate(params)
      .addOnSuccessListener {
        // Annotation process was successful, you can parse the EntityAnnotations list here.
      }
      .addOnFailureListener {
        // Check failure message here.
      }

Java

EntityExtractionParams params = new EntityExtractionParams
        .Builder("My flight is LX373, please pick me up at 8am tomorrow.")
        .setEntityTypesFilter(/* optional entity type filter */)
        .setPreferredLocale(/* optional preferred locale */)
        .setReferenceTime(/* optional reference date-time */)
        .setReferenceTimeZone(/* optional reference timezone */)
        .build();
entityExtractor
        .annotate(params)
        .addOnSuccessListener(new OnSuccessListener<List<EntityAnnotation>>() {
          @Override
          public void onSuccess(List<EntityAnnotation> entityAnnotations) {
            // Annotation process was successful, you can parse the EntityAnnotations list here.
          }
        })
        .addOnFailureListener(new OnFailureListener() {
          @Override
          public void onFailure(@NonNull Exception e) {
            // Check failure message here.
          }
        });

PreferredLocaleReferenceTimeReferenceTimeZone只会影响 DateTime 实体。如果未明确设置值,则默认为 值 来自用户的设备

循环遍历注释结果,以检索 识别出的实体。

Kotlin

for (entityAnnotation in entityAnnotations) {
  val entities: List<Entity> = entityAnnotation.entities

  Log.d(TAG, "Range: ${entityAnnotation.start} - ${entityAnnotation.end}")
  for (entity in entities) {
    when (entity) {
      is DateTimeEntity -> {
        Log.d(TAG, "Granularity: ${entity.dateTimeGranularity}")
        Log.d(TAG, "TimeStamp: ${entity.timestampMillis}")
      }
      is FlightNumberEntity -> {
        Log.d(TAG, "Airline Code: ${entity.airlineCode}")
        Log.d(TAG, "Flight number: ${entity.flightNumber}")
      }
      is MoneyEntity -> {
        Log.d(TAG, "Currency: ${entity.unnormalizedCurrency}")
        Log.d(TAG, "Integer part: ${entity.integerPart}")
        Log.d(TAG, "Fractional Part: ${entity.fractionalPart}")
      }
      else -> {
        Log.d(TAG, "  $entity")
      }
    }
  }
}

Java

List<EntityAnnotation> entityAnnotations = /* Get from EntityExtractor */;
for (EntityAnnotation entityAnnotation : entityAnnotations) {
  List<Entity> entities = entityAnnotation.getEntities();

  Log.d(TAG, String.format("Range: [%d, %d)", entityAnnotation.getStart(), entityAnnotation.getEnd()));
  for (Entity entity : entities) {
    switch (entity.getType()) {
      case Entity.TYPE_DATE_TIME:
        DateTimeEntity dateTimeEntity = entity.asDateTimeEntity();
        Log.d(TAG, "Granularity: " + dateTimeEntity.getDateTimeGranularity());
        Log.d(TAG, "Timestamp: " + dateTimeEntity.getTimestampMillis());
      case Entity.TYPE_FLIGHT_NUMBER:
        FlightNumberEntity flightNumberEntity = entity.asFlightNumberEntity();
        Log.d(TAG, "Airline Code: " + flightNumberEntity.getAirlineCode());
        Log.d(TAG, "Flight number: " + flightNumberEntity.getFlightNumber());
      case Entity.TYPE_MONEY:
        MoneyEntity moneyEntity = entity.asMoneyEntity();
        Log.d(TAG, "Currency: " + moneyEntity.getUnnormalizedCurrency());
        Log.d(TAG, "Integer Part: " + moneyEntity.getIntegerPart());
        Log.d(TAG, "Fractional Part: " + moneyEntity.getFractionalPart());
      case Entity.TYPE_UNKNOWN:
      default:
        Log.d(TAG, "Entity: " + entity);
    }
  }
}

当您不再需要 EntityExtractor 对象时,请调用 close() 方法。如果您在 Fragment 或 AppCompatActivity 中使用 EntityExtractor,则可以对 Fragment 或 AppCompatActivity 调用 LifecycleOwner.getLifecycle(),然后对 Lifecycle.addObserver 调用。例如:

Kotlin

val options = 
val extractor = EntityExtraction.getClient(options);
getLifecycle().addObserver(extractor);

Java

EntityExtractorOptions options = 
EntityExtractor extractor = EntityExtraction.getClient(options);
getLifecycle().addObserver(extractor);

显式管理实体提取模型

当您按上述方式使用实体提取 API 时,机器学习套件会根据需要(在您调用 downloadModelIfNeeded() 时)自动将特定语言的模型下载到设备。您还可以使用机器学习套件的模型管理 API 明确管理您希望在设备上可用的模型。如果您想提前下载模型,这会非常有用。您还可以使用该 API 删除不再需要的模型。

Kotlin

val modelManager = RemoteModelManager.getInstance()

// Get entity extraction models stored on the device.
modelManager.getDownloadedModels(EntityExtractionRemoteModel::class.java)
  .addOnSuccessListener {
    // ...
  }
  .addOnFailureListener({
    // Error.
  })
    
// Delete the German model if it's on the device.
val germanModel =
  EntityExtractionRemoteModel.Builder(EntityExtractorOptions.GERMAN).build()
modelManager.deleteDownloadedModel(germanModel)
  .addOnSuccessListener({
    // Model deleted.
  })
  .addOnFailureListener({
    // Error.
  })
    
// Download the French model.
val frenchModel =
  EntityExtractionRemoteModel.Builder(EntityExtractorOptions.FRENCH).build()
val conditions =
  DownloadConditions.Builder()
    .requireWifi()
    .build()
modelManager.download(frenchModel, conditions)
  .addOnSuccessListener({
    // Model downloaded.
  })
  .addOnFailureListener({
    // Error.
  })

Java

// Get entity extraction models stored on the device.
modelManager.getDownloadedModels(EntityExtractionRemoteModel.class)
    .addOnSuccessListener(new OnSuccessListener<Set<EntityExtractionRemoteModel>>() {
      @Override
      public void onSuccess(Set<EntityExtractionRemoteModel> models) {
        // ...
      }
    })
    .addOnFailureListener(new OnFailureListener() {
      @Override
      public void onFailure(@NonNull Exception e) {
        // Error.
      }
    });

// Delete the German model if it's on the device.
EntityExtractionRemoteModel germanModel = new EntityExtractionRemoteModel.Builder(EntityExtractorOptions.GERMAN).build();
    modelManager.deleteDownloadedModel(germanModel)
        .addOnSuccessListener(new OnSuccessListener<Void>() {
          @Override
          public void onSuccess(Void v) {
            // Model deleted.
          }
        })
        .addOnFailureListener(new OnFailureListener() {
          @Override
          public void onFailure(@NonNull Exception e) {
            // Error.
          }
        });

// Download the French model.
EntityExtractionRemoteModel frenchModel = new EntityExtractionRemoteModel.Builder(EntityExtractorOptions.FRENCH).build();
    DownloadConditions conditions = new DownloadConditions.Builder()
        .requireWifi()
        .build();
    modelManager.download(frenchModel, conditions)
        .addOnSuccessListener(new OnSuccessListener<Void>() {
          @Override
          public void onSuccess(Void v) {
            // Model downloaded.
          }
        })
        .addOnFailureListener(new OnFailureListener() {
          @Override
          public void onFailure(@NonNull Exception e) {
            // Error.
          }
        });