公开(公告)号：US20210312230A1

公开(公告)日：2021-10-07

申请号：US17348306

申请日：2021-06-15

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Tao HUANG ,  Baohui WANG ,  Li LIU ,  Litao ZHENG

IPC: G06K9/62 ,  G06F40/30 ,  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.