Structured model training method, text structuring method and related devices

The embodiment of the invention provides a text structuring method. The method comprises the steps that a target text to be structured is acquired; Inputting the target text into an entity extractionmodel, and identifying a target entity set in the target text through the entity extraction model; In...

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Hauptverfasser: WANG ZHIQIANG, LI JINGYI, GUO YONGHONG, HE JIA, YANG GUANMEI, LIU QIANNAN, CHEN WEIRAN, JIANG TINGXIN, WANG XIZHEN, DUAN BOCHAO
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creator WANG ZHIQIANG
LI JINGYI
GUO YONGHONG
HE JIA
YANG GUANMEI
LIU QIANNAN
CHEN WEIRAN
JIANG TINGXIN
WANG XIZHEN
DUAN BOCHAO
description The embodiment of the invention provides a text structuring method. The method comprises the steps that a target text to be structured is acquired; Inputting the target text into an entity extractionmodel, and identifying a target entity set in the target text through the entity extraction model; Inputting the identified target text of the target entity set into a relation extraction model, and extracting a relation between the target entities through the relation extraction model; And according to the target entities in the target entity set and the relationship between the target entities,performing structured representation on the target text to generate a target structure. In the embodiment of the invention, the conversion speed is high, and the labor cost is saved. 本申请实施例提供了种文本结构化的方法,该方法包括:获取待结构化的目标文本;将所述目标文本输入到实体提取模型,通过所述实体提取模型识别所述目标文本中的目标实体集合;将已识别到所述目标实体集合的目标文本输入到关系提取模型,通过所述关系提取模型提取所述目标实体之间的关系;根据目标实体集合中的目标实体及所述目标实体之间的关系,对所述目标文本进行结构化表示,生成目标结构。本申请实施例中,转换速度快,节省人工成本。
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The method comprises the steps that a target text to be structured is acquired; Inputting the target text into an entity extractionmodel, and identifying a target entity set in the target text through the entity extraction model; Inputting the identified target text of the target entity set into a relation extraction model, and extracting a relation between the target entities through the relation extraction model; And according to the target entities in the target entity set and the relationship between the target entities,performing structured representation on the target text to generate a target structure. In the embodiment of the invention, the conversion speed is high, and the labor cost is saved. 本申请实施例提供了种文本结构化的方法,该方法包括:获取待结构化的目标文本;将所述目标文本输入到实体提取模型,通过所述实体提取模型识别所述目标文本中的目标实体集合;将已识别到所述目标实体集合的目标文本输入到关系提取模型,通过所述关系提取模型提取所述目标实体之间的关系;根据目标实体集合中的目标实体及所述目标实体之间的关系,对所述目标文本进行结构化表示,生成目标结构。本申请实施例中,转换速度快,节省人工成本。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20190405&amp;DB=EPODOC&amp;CC=CN&amp;NR=109582800A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20190405&amp;DB=EPODOC&amp;CC=CN&amp;NR=109582800A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG ZHIQIANG</creatorcontrib><creatorcontrib>LI JINGYI</creatorcontrib><creatorcontrib>GUO YONGHONG</creatorcontrib><creatorcontrib>HE JIA</creatorcontrib><creatorcontrib>YANG GUANMEI</creatorcontrib><creatorcontrib>LIU QIANNAN</creatorcontrib><creatorcontrib>CHEN WEIRAN</creatorcontrib><creatorcontrib>JIANG TINGXIN</creatorcontrib><creatorcontrib>WANG XIZHEN</creatorcontrib><creatorcontrib>DUAN BOCHAO</creatorcontrib><title>Structured model training method, text structuring method and related devices</title><description>The embodiment of the invention provides a text structuring method. 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The method comprises the steps that a target text to be structured is acquired; Inputting the target text into an entity extractionmodel, and identifying a target entity set in the target text through the entity extraction model; Inputting the identified target text of the target entity set into a relation extraction model, and extracting a relation between the target entities through the relation extraction model; And according to the target entities in the target entity set and the relationship between the target entities,performing structured representation on the target text to generate a target structure. In the embodiment of the invention, the conversion speed is high, and the labor cost is saved. 本申请实施例提供了种文本结构化的方法,该方法包括:获取待结构化的目标文本;将所述目标文本输入到实体提取模型,通过所述实体提取模型识别所述目标文本中的目标实体集合;将已识别到所述目标实体集合的目标文本输入到关系提取模型,通过所述关系提取模型提取所述目标实体之间的关系;根据目标实体集合中的目标实体及所述目标实体之间的关系,对所述目标文本进行结构化表示,生成目标结构。本申请实施例中,转换速度快,节省人工成本。</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Structured model training method, text structuring method and related devices
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