Invention Grant
- Patent Title: Effective text parsing using machine learning
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Application No.: US17156864Application Date: 2021-01-25
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Publication No.: US11574121B2Publication Date: 2023-02-07
- Inventor: Gautam K. Bhat , Muniyandi Perumal Thevar , Nalini M , Sarita Lavania
- Applicant: Kyndryl, Inc.
- Applicant Address: US NY New York
- Assignee: Kyndryl, Inc.
- Current Assignee: Kyndryl, Inc.
- Current Assignee Address: US NY New York
- Agency: Patterson + Sheridan, LLP
- Main IPC: G06F40/279
- IPC: G06F40/279 ; G06N3/04 ; G06F40/30 ; G06F40/205 ; G06F40/247 ; G06N3/08

Abstract:
Techniques for data evaluation using machine learning are provided. A textual document is received, and the textual document is parsed using a recurrent neural network (RNN) to extract a plurality of keywords. A first subset of keywords which are known by a user and a second subset of keywords which are unknown by the user are each identified. A summary of the textual document is generated based on the second subset of keywords. The summary is output, comprising: outputting information related to a first keyword of the second subset of keywords and, upon determining that the first keyword is understood by the user, outputting information related to a second keyword of the second subset of keywords.
Public/Granted literature
- US20220237375A1 EFFECTIVE TEXT PARSING USING MACHINE LEARNING Public/Granted day:2022-07-28
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