Financial text recognition method and device, computer equipment and storage medium

The invention relates to a financial text recognition method and device, computer equipment, a storage medium and a computer program product, and can be applied to the technical field of artificial intelligence. The method comprises the steps of obtaining a to-be-recognized financial text and an ent...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: XUE ZHENYU, CHENG JINDONG, ZHOU ZHANBO, TAN YONGSEN
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator XUE ZHENYU
CHENG JINDONG
ZHOU ZHANBO
TAN YONGSEN
description The invention relates to a financial text recognition method and device, computer equipment, a storage medium and a computer program product, and can be applied to the technical field of artificial intelligence. The method comprises the steps of obtaining a to-be-recognized financial text and an entity set of the to-be-recognized financial text; determining a target vector of the financial text to be recognized and a target vector of each entity in the entity set through a pre-trained financial text recognition model; inputting the target vector of each entity and the target vector of the financial text to be identified into a first key entity identification model to obtain an entity label of each entity; the entity labels are used for representing whether the corresponding entities are key entities; the first key entity recognition model is obtained by training the financial text recognition model again; and from the entity set, screening out an entity of which the corresponding entity label is the key entit
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115019331A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115019331A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115019331A3</originalsourceid><addsrcrecordid>eNqNi7EKwjAURbs4iPoPz13BEBwcS7E4ueheQnKtD5qX2L6In6-IH-B0hnPOvLq0LE48u4EUL6URPvXCykkoQu8pkJNAAU_22JBPMRfFSHgUzhGiXz1pGl2PzxG4xGU1u7lhwurHRbVuj9fmtEVOHabsPATaNWdj9jtzsNbU9p_mDXKcOJU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Financial text recognition method and device, computer equipment and storage medium</title><source>esp@cenet</source><creator>XUE ZHENYU ; CHENG JINDONG ; ZHOU ZHANBO ; TAN YONGSEN</creator><creatorcontrib>XUE ZHENYU ; CHENG JINDONG ; ZHOU ZHANBO ; TAN YONGSEN</creatorcontrib><description>The invention relates to a financial text recognition method and device, computer equipment, a storage medium and a computer program product, and can be applied to the technical field of artificial intelligence. The method comprises the steps of obtaining a to-be-recognized financial text and an entity set of the to-be-recognized financial text; determining a target vector of the financial text to be recognized and a target vector of each entity in the entity set through a pre-trained financial text recognition model; inputting the target vector of each entity and the target vector of the financial text to be identified into a first key entity identification model to obtain an entity label of each entity; the entity labels are used for representing whether the corresponding entities are key entities; the first key entity recognition model is obtained by training the financial text recognition model again; and from the entity set, screening out an entity of which the corresponding entity label is the key entit</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2022</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=20220906&amp;DB=EPODOC&amp;CC=CN&amp;NR=115019331A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220906&amp;DB=EPODOC&amp;CC=CN&amp;NR=115019331A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XUE ZHENYU</creatorcontrib><creatorcontrib>CHENG JINDONG</creatorcontrib><creatorcontrib>ZHOU ZHANBO</creatorcontrib><creatorcontrib>TAN YONGSEN</creatorcontrib><title>Financial text recognition method and device, computer equipment and storage medium</title><description>The invention relates to a financial text recognition method and device, computer equipment, a storage medium and a computer program product, and can be applied to the technical field of artificial intelligence. The method comprises the steps of obtaining a to-be-recognized financial text and an entity set of the to-be-recognized financial text; determining a target vector of the financial text to be recognized and a target vector of each entity in the entity set through a pre-trained financial text recognition model; inputting the target vector of each entity and the target vector of the financial text to be identified into a first key entity identification model to obtain an entity label of each entity; the entity labels are used for representing whether the corresponding entities are key entities; the first key entity recognition model is obtained by training the financial text recognition model again; and from the entity set, screening out an entity of which the corresponding entity label is the key entit</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi7EKwjAURbs4iPoPz13BEBwcS7E4ueheQnKtD5qX2L6In6-IH-B0hnPOvLq0LE48u4EUL6URPvXCykkoQu8pkJNAAU_22JBPMRfFSHgUzhGiXz1pGl2PzxG4xGU1u7lhwurHRbVuj9fmtEVOHabsPATaNWdj9jtzsNbU9p_mDXKcOJU</recordid><startdate>20220906</startdate><enddate>20220906</enddate><creator>XUE ZHENYU</creator><creator>CHENG JINDONG</creator><creator>ZHOU ZHANBO</creator><creator>TAN YONGSEN</creator><scope>EVB</scope></search><sort><creationdate>20220906</creationdate><title>Financial text recognition method and device, computer equipment and storage medium</title><author>XUE ZHENYU ; CHENG JINDONG ; ZHOU ZHANBO ; TAN YONGSEN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115019331A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>XUE ZHENYU</creatorcontrib><creatorcontrib>CHENG JINDONG</creatorcontrib><creatorcontrib>ZHOU ZHANBO</creatorcontrib><creatorcontrib>TAN YONGSEN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>XUE ZHENYU</au><au>CHENG JINDONG</au><au>ZHOU ZHANBO</au><au>TAN YONGSEN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Financial text recognition method and device, computer equipment and storage medium</title><date>2022-09-06</date><risdate>2022</risdate><abstract>The invention relates to a financial text recognition method and device, computer equipment, a storage medium and a computer program product, and can be applied to the technical field of artificial intelligence. The method comprises the steps of obtaining a to-be-recognized financial text and an entity set of the to-be-recognized financial text; determining a target vector of the financial text to be recognized and a target vector of each entity in the entity set through a pre-trained financial text recognition model; inputting the target vector of each entity and the target vector of the financial text to be identified into a first key entity identification model to obtain an entity label of each entity; the entity labels are used for representing whether the corresponding entities are key entities; the first key entity recognition model is obtained by training the financial text recognition model again; and from the entity set, screening out an entity of which the corresponding entity label is the key entit</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN115019331A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Financial text recognition method and device, computer equipment and storage medium
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T21%3A26%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=XUE%20ZHENYU&rft.date=2022-09-06&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115019331A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true