NlpSemanticParsingDateTimeAnnotation

NLPInfrastructure

GoogleApi.ContentWarehouse.V1.Model.NlpSemanticParsingDateTimeAnnotation

3
out of 10
Low
SEO Impact
Example: "Remind me to go to the store on (Friday) (9am)" would output two non-overlapping and unrelated annotations. One would have a start_date = Friday and the other would have start_time = 9am. It's possible for Friday to be one of several upcoming Friday's, so start_date is a repeated field. Next ID: 10

SEO Analysis

AI Generated

Backend infrastructure with indirect SEO impact. This model (Nlp Semantic Parsing Date Time Annotation) contains 9 attributes that define its data structure. Key functionality includes: NOTE: None of these are co-indexed. If the query is 'morning', there could be multiple start_time's, start_date's, end_date's, and end_time's, and the...

Actionable Insights for SEOs

  • Understanding this model helps SEOs grasp Google's internal data architecture
  • Consider how this system might interact with other ranking signals

Attributes

9
Sort:|Filter:
dateTypestring
Default: nilFull type: String.t
endDatestring
Default: nilFull type: list(String.t
endTimestring
Default: nilFull type: list(String.t
endWeekdaystring
Default: nilFull type: String.t
rawTextstring
Default: nilFull type: String.t
startDatestring
Default: nilFull type: list(String.t

NOTE: None of these are co-indexed. If the query is 'morning', there could be multiple start_time's, start_date's, end_date's, and end_time's, and they do not correspond to one another in any structured way.

startTimestring
Default: nilFull type: list(String.t
startWeekdaystring
Default: nilFull type: String.t
timeTypestring
Default: nilFull type: String.t