Invention Grant
- Patent Title: Predicting labels using a deep-learning model
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Application No.: US16505521Application Date: 2019-07-08
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Publication No.: US11599566B2Publication Date: 2023-03-07
- Inventor: Jason E. Weston , Keith Adams , Sumit Chopra
- Applicant: Meta Platforms, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Meta Platforms, Inc.
- Current Assignee: Meta Platforms, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Baker Botts L.L.P.
- Main IPC: G06F16/33
- IPC: G06F16/33 ; G06N3/04
Abstract:
In one embodiment, a method includes receiving, from a client system, a text input comprising one or more n-grams, determining, using a deep-learning model, a vector representation of the text input based on the one or more n-grams, determining an embedding of the vector representation of the text input in a d-dimensional embedding space, identifying one or more labels based on, for each of the one or more labels, a respective similarity of an embedding of a vector representation of the label in the embedding space to the embedding of the vector representation of the text input, and sending, to the client system in response to the received text input, instructions for presenting a user interface comprising one or more of the identified labels as suggested labels.
Public/Granted literature
- US20190332617A1 Predicting Labels Using a Deep-Learning Model Public/Granted day:2019-10-31
Information query
