Classification model training method and device suitable for text auditing
The invention provides a training method and device of a classification model suitable for text auditing, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computers. The method comprises the steps of performing different types o...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
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 | CHEN YONGFENG WANG ZANBO HUANG SHUO CAO YUHUI |
description | The invention provides a training method and device of a classification model suitable for text auditing, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computers. The method comprises the steps of performing different types of prediction on text samples in an ith round of text sample set based on a pre-training language model to obtain enhanced text samples of different prediction types; based on the first classification model after the jth round of training, obtaining a label and a confidence coefficient of the enhanced text sample; screening the enhanced text samples according to the prediction types of the enhanced text samples and the labels and confidence of the enhanced text samples, updating the i-th round of text sample set according to the screened enhanced text samples, obtaining the i + 1-th round of text sample set, training the first classification model, and obtaining a second classification model after the (j + 1)-th rou |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116226375A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116226375A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116226375A3</originalsourceid><addsrcrecordid>eNqNyjEOwjAMBdAsDAi4gzkAQ1tRZhSBEAMTe2WSH2opTarGRRwfBg7A9Ja3NFcbuRQJ4lglJxqyRySdWJKkJw3QPnvi5MnjJQ5UZlF-RFDIEyneSjx70W9em0XgWLD5uTLb8-luLzuMuUMZ2SFBO3urqrau2-awPzb_nA9BpDVK</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Classification model training method and device suitable for text auditing</title><source>esp@cenet</source><creator>CHEN YONGFENG ; WANG ZANBO ; HUANG SHUO ; CAO YUHUI</creator><creatorcontrib>CHEN YONGFENG ; WANG ZANBO ; HUANG SHUO ; CAO YUHUI</creatorcontrib><description>The invention provides a training method and device of a classification model suitable for text auditing, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computers. The method comprises the steps of performing different types of prediction on text samples in an ith round of text sample set based on a pre-training language model to obtain enhanced text samples of different prediction types; based on the first classification model after the jth round of training, obtaining a label and a confidence coefficient of the enhanced text sample; screening the enhanced text samples according to the prediction types of the enhanced text samples and the labels and confidence of the enhanced text samples, updating the i-th round of text sample set according to the screened enhanced text samples, obtaining the i + 1-th round of text sample set, training the first classification model, and obtaining a second classification model after the (j + 1)-th rou</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2023</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&date=20230606&DB=EPODOC&CC=CN&NR=116226375A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25555,76308</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230606&DB=EPODOC&CC=CN&NR=116226375A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN YONGFENG</creatorcontrib><creatorcontrib>WANG ZANBO</creatorcontrib><creatorcontrib>HUANG SHUO</creatorcontrib><creatorcontrib>CAO YUHUI</creatorcontrib><title>Classification model training method and device suitable for text auditing</title><description>The invention provides a training method and device of a classification model suitable for text auditing, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computers. The method comprises the steps of performing different types of prediction on text samples in an ith round of text sample set based on a pre-training language model to obtain enhanced text samples of different prediction types; based on the first classification model after the jth round of training, obtaining a label and a confidence coefficient of the enhanced text sample; screening the enhanced text samples according to the prediction types of the enhanced text samples and the labels and confidence of the enhanced text samples, updating the i-th round of text sample set according to the screened enhanced text samples, obtaining the i + 1-th round of text sample set, training the first classification model, and obtaining a second classification model after the (j + 1)-th rou</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEOwjAMBdAsDAi4gzkAQ1tRZhSBEAMTe2WSH2opTarGRRwfBg7A9Ja3NFcbuRQJ4lglJxqyRySdWJKkJw3QPnvi5MnjJQ5UZlF-RFDIEyneSjx70W9em0XgWLD5uTLb8-luLzuMuUMZ2SFBO3urqrau2-awPzb_nA9BpDVK</recordid><startdate>20230606</startdate><enddate>20230606</enddate><creator>CHEN YONGFENG</creator><creator>WANG ZANBO</creator><creator>HUANG SHUO</creator><creator>CAO YUHUI</creator><scope>EVB</scope></search><sort><creationdate>20230606</creationdate><title>Classification model training method and device suitable for text auditing</title><author>CHEN YONGFENG ; WANG ZANBO ; HUANG SHUO ; CAO YUHUI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116226375A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN YONGFENG</creatorcontrib><creatorcontrib>WANG ZANBO</creatorcontrib><creatorcontrib>HUANG SHUO</creatorcontrib><creatorcontrib>CAO YUHUI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN YONGFENG</au><au>WANG ZANBO</au><au>HUANG SHUO</au><au>CAO YUHUI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Classification model training method and device suitable for text auditing</title><date>2023-06-06</date><risdate>2023</risdate><abstract>The invention provides a training method and device of a classification model suitable for text auditing, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computers. The method comprises the steps of performing different types of prediction on text samples in an ith round of text sample set based on a pre-training language model to obtain enhanced text samples of different prediction types; based on the first classification model after the jth round of training, obtaining a label and a confidence coefficient of the enhanced text sample; screening the enhanced text samples according to the prediction types of the enhanced text samples and the labels and confidence of the enhanced text samples, updating the i-th round of text sample set according to the screened enhanced text samples, obtaining the i + 1-th round of text sample set, training the first classification model, and obtaining a second classification model after the (j + 1)-th rou</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN116226375A |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Classification model training method and device suitable for text auditing |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T22%3A46%3A20IST&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=CHEN%20YONGFENG&rft.date=2023-06-06&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116226375A%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 |