Invention Grant
- Patent Title: Unified vision and dialogue transformer with BERT
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Application No.: US16929738Application Date: 2020-07-15
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Publication No.: US11562147B2Publication Date: 2023-01-24
- Inventor: Yue Wang , Chu Hong Hoi , Shafiq Rayhan Joty
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: Haynes and Boone LLP
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F21/36 ; G06F40/35 ; G06N3/08 ; G06F40/284 ; G06K9/62

Abstract:
A visual dialogue model receives image input and text input that includes a dialogue history between the model and a current utterance by a human user. The model generates a unified contextualized representation using a transformer encoder network, in which the unified contextualized representation includes a token level encoding of the image input and text input. The model generates an encoded visual dialogue input from the unified contextualized representation using visual dialogue encoding layers. The encoded visual dialogue input includes a position level encoding and a segment type encoding. The model generates an answer prediction from the encoded visual dialogue input using a first self-attention mask associated with discriminative settings or a second self-attention mask associated with generative settings. Dense annotation fine tuning may be performed to increase accuracy of the answer prediction. The model provides the answer prediction as a response to the current utterance of the human user.
Public/Granted literature
- US20210232773A1 Unified Vision and Dialogue Transformer with BERT Public/Granted day:2021-07-29
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