Invention Grant
- Patent Title: Multi-scale model for semantic matching
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Application No.: US16859329Application Date: 2020-04-27
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Publication No.: US11295090B2Publication Date: 2022-04-05
- Inventor: Ahmed Hassan Awadallah , Miaosen Wang , Wei Wang , Madian Khabsa , Xiao Yang
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Alleman Hall Creasman & Tuttle LLP
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06N20/00 ; G06F40/51

Abstract:
A method for applying a trained machine learning model to answer a user query comprises receiving a query text from a user. A previously-trained discriminator is received, the previously-trained discriminator configured to output, for a pair of sentences, a match value indicating a quality of semantic match between the pair of sentences. For each candidate answer text of a plurality of candidate answer texts, the previously-trained discriminator is operated to output a candidate match value for the query text and the candidate answer text based on comparing a first hierarchy of representations of the query text at increasing degrees of semantic compression to a second hierarchy of representations of the candidate answer text at increasing degrees of semantic compression. An answer text is output that is associated with a highest candidate match value among candidate match values.
Public/Granted literature
- US20200257858A1 MULTI-SCALE MODEL FOR SEMANTIC MATCHING Public/Granted day:2020-08-13
Information query