NlxDataSchemaMention

AI Overview😉

  • The potential purpose of this module is to identify and analyze mentions of specific entities within a document or webpage. This includes identifying the type of mention (e.g. referential, attributive, modifier), the entity being referred to, and the context in which it is mentioned.
  • This module could impact search results by allowing Google to better understand the relationships between entities and the context in which they are mentioned. This could lead to more accurate and relevant search results, as well as improved entity disambiguation and knowledge graph construction. Additionally, it could help Google to identify and rank content that provides more comprehensive and nuanced information about a particular entity or topic.
  • To be more favorable to this function, a website could focus on creating high-quality, informative content that provides clear and concise mentions of relevant entities. This could include using structured data and schema markup to help Google understand the relationships between entities, as well as using natural language processing techniques to identify and disambiguate entities within the content. Additionally, websites could focus on creating comprehensive and authoritative content that provides a nuanced understanding of a particular topic or entity, which could help to improve their ranking and visibility in search results.

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

A mention of an entity. A single entity might be mentioned multiple times.

Attributes

  • bytes (type: GoogleApi.ContentWarehouse.V1.Model.MultiscalePointerSpan.t, default: nil) - The bytes in this mention.
  • document (type: GoogleApi.ContentWarehouse.V1.Model.MultiscalePointerIndex.t, default: nil) - The document that contains this mention.
  • entity (type: GoogleApi.ContentWarehouse.V1.Model.MultiscalePointerIndex.t, default: nil) - The entity that this mention refers to.
  • kind (type: String.t, default: nil) - Mention kind, typically 'referential', 'attributive', or 'modifier'.
  • text (type: String.t, default: nil) - The mention text itself. Must contain valid UTF-8.
  • tokens (type: GoogleApi.ContentWarehouse.V1.Model.MultiscalePointerSpan.t, default: nil) - The token(s) in this mention. This may not be present, or have zero length if representing an implicit mention, as in the prodrop case.
  • type (type: String.t, default: nil) - Mention type, typically 'named' (for name mentions) or 'nominal'. More types include 'pronominal', 'conjoined' for conjoined mention construction, and 'non-referential' for non-referential pronoun mentions.

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.NlxDataSchemaMention{
  bytes: GoogleApi.ContentWarehouse.V1.Model.MultiscalePointerSpan.t() | nil,
  document:
    GoogleApi.ContentWarehouse.V1.Model.MultiscalePointerIndex.t() | nil,
  entity: GoogleApi.ContentWarehouse.V1.Model.MultiscalePointerIndex.t() | nil,
  kind: String.t() | nil,
  text: String.t() | nil,
  tokens: GoogleApi.ContentWarehouse.V1.Model.MultiscalePointerSpan.t() | nil,
  type: String.t() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.