NlpSemanticParsingDatetimeDuration

AI Overview😉

  • The potential purpose of this module is to identify and understand duration-related expressions in search queries, such as "play first 5 minutes of Yellow Submarine" or "it takes more than 3 days to finish". This module helps Google to recognize and interpret time-related phrases in natural language, enabling more accurate search results.
  • This module could impact search results by allowing Google to better understand the context and intent behind a search query. For example, if a user searches for "restaurants open for more than 2 hours", Google can use this module to identify the duration "more than 2 hours" and provide results that match that specific time frame. This could lead to more relevant and accurate search results.
  • A website may change things to be more favorable for this function by using clear and concise language when describing time-related information, such as business hours, event schedules, or product delivery times. This could include using specific duration phrases, like "open for 2 hours" or "delivered within 3-5 days", which would make it easier for Google to understand and interpret the information. Additionally, using structured data and schema markup on the website could help Google to better understand the context and intent behind the content, leading to more accurate search results.

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

To represent unanchored durations - the length of a date/time expression not related to calendar in local context. E.g., "play first (DURATION: 5 minutes) of Yellow Submarine", "it takes (DURATION: more than 3 days) to finish." In contrast, queries like: "wake me up in 5 minutes" will be resolved to a AbsoluteDateTime since the query indicates that the reference is now. A duration can be turned into a range if either end is anchored.

Attributes

  • evalData (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t, default: nil) - This field of the Duration message should not in general be used by outside clients of the grammar. It is intended to be used internally in Aqua for evaluation purposes. The rationale is that token counts depend on the particular tokenization used in Aqua which may be different from the one used by the client and may change from time to time. Outside clients should not create a dependency on the current tokenization used in Aqua.
  • modifier (type: String.t, default: nil) - For expressions such as "about 2 hrs".
  • quantity (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingDatetimeQuantity.t, default: nil) -
  • span (type: GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingDatetimeSpan.t, default: nil) - See comments of Span.

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.NlpSemanticParsingDatetimeDuration{
  evalData:
    GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingAnnotationEvalData.t()
    | nil,
  modifier: String.t() | nil,
  quantity:
    GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingDatetimeQuantity.t()
    | nil,
  span:
    GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingDatetimeSpan.t() | nil
}

Functions

Link to this function

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.