NlpSemanticParsingModelsDialogReferentsDialogReferents

AI Overview😉

  • Potential purpose of module: This module, DialogReferents, appears to be part of Google's natural language processing (NLP) algorithm, specifically designed to understand and analyze user utterances (e.g., search queries, voice commands) in the context of a conversation or dialog. Its purpose is to identify and extract relevant information from the user's input, such as specific fields, indices, or tasks mentioned, and to disambiguate ambiguous references.
  • Impact on search results: This module can impact search results by influencing how Google understands the context and intent behind a user's search query. By accurately identifying the user's goals, tasks, or referenced fields, Google can provide more relevant and accurate search results, potentially leading to a better user experience. For example, if a user searches for "the meeting starts at 10 am", this module can help Google understand that the user is referring to a specific task or event, rather than just searching for generic information about meetings.
  • Optimization for this function: To be more favorable for this function, a website can focus on creating content that is easily understandable by NLP algorithms. This can be achieved by using clear and concise language, defining specific fields and tasks, and providing structured data that can be easily extracted and analyzed. Additionally, using schema markup and other forms of semantic HTML can help Google's algorithm better understand the context and meaning of the content, potentially leading to improved search engine rankings and a better user experience.

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GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsDialogReferentsDialogReferents (google_api_content_warehouse v0.4.0)

Will be used by dialog_referent subgrammar to emit types annotations from DialogReferentsAnnotator and $DialogReferentOrdinal rules.

Attributes

  • evalData (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t, default: nil) -
  • field (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsDialogReferentsListSelection.t, default: nil) - The field mentioned in the user's utterance, if any.
  • index (type: integer(), default: nil) - Used for a grammar mention of an index.
  • next (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsDialogReferentsDialogReferents.t, default: nil) - Represents a tied referent in a different field of the same label
  • selection (type: list(GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsDialogReferentsListSelection.t), default: nil) - The requested value(s) for selection from a list of alternatives.
  • taskMention (type: list(GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsDialogReferentsListSelection.t), default: nil) - Set when the user's utterance refers to the (an) overall task/goal of the dialog (e.g. "the meeting starts at 10 am" mentions the goal, "meeting"). The field is repeated in case the user ambiguously identifies a task (two tasks named 'meeting').

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() ::
  %GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsDialogReferentsDialogReferents{
    evalData:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t()
      | nil,
    field:
      GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsDialogReferentsListSelection.t()
      | nil,
    index: integer() | nil,
    next: t() | nil,
    selection:
      [
        GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsDialogReferentsListSelection.t()
      ]
      | nil,
    taskMention:
      [
        GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingModelsDialogReferentsListSelection.t()
      ]
      | nil
  }

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.