NlpSemanticParsingModelsCommunicationRelationshipArgument

AI Overview😉

  • The potential purpose of this module is to identify and understand relationships mentioned in search queries, such as "mom" or "mother", and to connect them to their canonical forms and corresponding entities in Google's knowledge graph. This allows the search algorithm to better comprehend the context and intent behind the search query.
  • This module could impact search results by allowing Google to provide more accurate and relevant results when the search query involves relationships or entities. For example, a search for "gifts for mom" could return results that are more tailored to the user's intent, such as gift ideas for mothers, rather than just generic gift ideas. This could also help Google to better handle queries that involve nuances of language, such as synonyms or colloquialisms.
  • To be more favorable for this function, a website could ensure that its content clearly and accurately represents relationships and entities mentioned in the text. This could involve using structured data, such as schema.org markup, to provide explicit information about entities and their relationships. Additionally, using natural language and colloquialisms in content could help Google's algorithm to better understand the context and intent behind search queries. Furthermore, providing high-quality and relevant content that is optimized for user intent could also help to improve search engine rankings.

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

A relationship contact.

Attributes

  • alias (type: String.t, default: nil) - The alias of the relationship in the query, e.g. "mom".
  • canonical (type: String.t, default: nil) - The canonical format of the relationship, e.g. "Mother".
  • canonicalLexicalMid (type: String.t, default: nil) - Mid for an entity that has lexical data (a LexiconEntry). See https://g3doc.corp.google.com/nlp/generation/g3doc/lexical_data.md for for more information about lexical data. This is the canonical mid for this entity (eg. it would be /m/0lbxz for "mother" in EN even if user referred to "mom").

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.NlpSemanticParsingModelsCommunicationRelationshipArgument{
    alias: String.t() | nil,
    canonical: String.t() | nil,
    canonicalLexicalMid: 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.