Invention Grant
- Patent Title: Method and apparatus for generating causal explanations using models derived from data
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Application No.: US15458532Application Date: 2017-03-14
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Publication No.: US10853585B2Publication Date: 2020-12-01
- Inventor: Nikhil Ninan , William A. Bradshaw , Gowri Somayajulu Sripada
- Applicant: Arria Data2Text Limited
- Applicant Address: GB Aberdeen
- Assignee: Arria Data2Text Limited
- Current Assignee: Arria Data2Text Limited
- Current Assignee Address: GB Aberdeen
- Agency: Alston & Bird LLP
- Main IPC: G06F40/56
- IPC: G06F40/56 ; G06N5/02 ; G06F40/169

Abstract:
Methods, apparatuses, and computer program product are described herein configured to transform an input model into a format that can be expressed causally in one or more phrases with a narrative representation. The methods, apparatuses, and computer program product may be configured to obtain the input model representing a data set composed of a plurality of nodes, a plurality of edges, and a plurality of paths and identify a path of maximal significance. The methods, apparatuses, and computer program product include identifying a subset of nodes from the plurality of nodes and a subset of edges from the plurality of edges associated with the path of maximal significance. The methods, apparatuses, and computer program product are configured to generate, using a natural language generation system, one or more phrases with a narrative representation describing the subset of nodes and the subset of edges associated with the path of maximal significance.
Public/Granted literature
- US20170270105A1 METHOD AND APPARATUS FOR GENERATING CAUSAL EXPLANATIONS USING MODELS DERIVED FROM DATA Public/Granted day:2017-09-21
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