Invention Grant
- Patent Title: Information extraction method, extraction model training method, apparatus and electronic device
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Application No.: US17348306Application Date: 2021-06-15
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Publication No.: US12079580B2Publication Date: 2024-09-03
- Inventor: Tao Huang , Baohui Wang , Li Liu , Litao Zheng
- Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.
- Applicant Address: CN Beijing
- Assignee: Beijing Baidu Netcom Science Technology Co., Ltd.
- Current Assignee: Beijing Baidu Netcom Science Technology Co., Ltd.
- Current Assignee Address: CN Beijing
- Agency: Maginot, Moore & Beck LLP
- Priority: CN 2011375463.8 2020.11.30
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F18/21 ; G06F18/213 ; G06F18/22 ; G06F40/279 ; G06N3/08

Abstract:
An information extraction method, an extraction model training method, an apparatus and an electronic device all relate to knowledge graphs. A specific implementation includes acquiring an input text and determining a semantic vector of the input text according to the input text. Such implementation also includes inputting the semantic vector of the input text to a pre-acquired extraction model to obtain a first enhanced text of the input text. The first enhanced text is a text with a text score greater than a preset threshold output by the extraction model. The extraction model performs text extraction based on the semantic vector of the input text. Since the semantic vector has rich context semantics, the enhanced text extracted by the extraction model can be more in line with the context of the input text.
Public/Granted literature
- US20210312230A1 Information Extraction Method, Extraction Model Training Method, Apparatus and Electronic Device Public/Granted day:2021-10-07
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