Invention Grant
- Patent Title: Generation of natural language text from structured data using a fusion model
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Application No.: US16361300Application Date: 2019-03-22
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Publication No.: US10997374B2Publication Date: 2021-05-04
- Inventor: Houda Bouamor , Sira Ferradans , Guillaume Hubert , Abderrahim Ait-Azzi
- Applicant: FORTIA FINANCIAL SOLUTIONS
- Applicant Address: FR Paris
- Assignee: FORTIA FINANCIAL SOLUTIONS
- Current Assignee: FORTIA FINANCIAL SOLUTIONS
- Current Assignee Address: FR Paris
- Agent Yasser Mourtada; Robert Facey; William Salinger
- Main IPC: G06F40/177
- IPC: G06F40/177 ; G06F40/56 ; G06N3/08 ; G06F40/211 ; G06F40/242 ; G06F40/58 ; G06F40/40 ; H04N21/8405

Abstract:
Generating natural language text from structured data using a fusion model is disclosed. Based on an input dictionary, a first sequence of vectors is generated by a first encoder and a second sequence of vectors is generated by a second encoder. The first and second sequences of vectors are provided to an attention function which generates a modified sequence of vectors. A decoder decodes the modified sequence of vectors to generate a plurality of ordered sequences corresponding to a target natural language sentence. A predetermined number of candidate sentences are determined based on the plurality of ordered sequences and are ranked to select a sentence as the target natural language sentence.
Public/Granted literature
- US20200302023A1 GENERATION OF NATURAL LANGUAGE TEXT FROM STRUCTURED DATA USING A FUSION MODEL Public/Granted day:2020-09-24
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