Invention Grant
- Patent Title: Generating a pseudo-code from a text summarization based on a convolutional neural network
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Application No.: US16907568Application Date: 2020-06-22
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Publication No.: US11455146B2Publication Date: 2022-09-27
- Inventor: MadhuMathi Rajesh , MadhuSudhanan Krishnamoorthy
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Agency: Banner & Witcoff, Ltd.
- Main IPC: G06F8/30
- IPC: G06F8/30 ; G06N3/04 ; G06F40/279 ; G06F40/58 ; G06F40/30 ; G06N3/08

Abstract:
Aspects of the disclosure relate to generating a pseudo-code from a text summarization based on a convolutional neural network. A computing platform may receive, by a computing device, a first document comprising text in a natural language different from English. Subsequently, the computing platform may translate, based on a neural machine translation model, the first document to a second document comprising text in English. Then, the computing platform may generate an attention-based convolutional neural network (CNN) for the second document. Then, the computing platform may extract, by applying the attention-based CNN, an abstractive summary of the second document. Subsequently, the computing platform may generate, based on the abstractive summary, a flowchart. Then, the computing platform may generate, based on the flowchart, a pseudo-code. Subsequently, the computing platform may display, via an interactive graphical user interface, the flowchart, and the pseudo-code.
Public/Granted literature
- US20210397416A1 Generating a Pseudo-Code from a Text Summarization Based on a Convolutional Neural Network Public/Granted day:2021-12-23
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