KnowledgeAnswersFacetParsing

Posted on by Darth Autocrat

GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersFacetParsing

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Description

Construct for how to construe a facet when parse from neural or lexical models. Unlike regular intent annotations, facets are post-hoc grounded to indicated spoans, so they also need to provide their input and output slot independently.

Attributes List

This module has the following attributes (case-insensitive ascending order):

View Attributes

Attributes

  1. facetName (type: String.t, default: nil)
    - Optional, as this can take the name of the slot/schema its associated with or it might need to map onto something different.
  2. inputSlotName (type: String.t, default: nil)
    - Required, the slot into which we put any ungrounded string or mid
  3. outputSlotName (type: String.t, default: nil)
    - Optional, if absent output_type will be used for typing, or this is a MRF operator

Type

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersFacetParsing{
facetName: String.t() | nil,
inputSlotName: String.t() | nil,
outputSlotName: String.t() | nil
}

Function

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

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