System and method for natural language order fill
Various methods, apparatuses/systems, and media for implementing a natural language order fill module are disclosed. A database stores data corresponding to trade details of a particular trade. A processor is operatively coupled to the database via a communication network. The processor configures a...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Patent |
| Sprache: | 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 | Ramanunni, Prajod Kumbalaparambil Agrawal, Tushar Subramaniam, Senthilkumar Roy, Jyoti Thanasekaran, Vijayasingam |
| description | Various methods, apparatuses/systems, and media for implementing a natural language order fill module are disclosed. A database stores data corresponding to trade details of a particular trade. A processor is operatively coupled to the database via a communication network. The processor configures a free-form text box to receive user input data corresponding to the trade details (e.g., abbreviations data, varying sentence syntax data, special characters data and details data, etc.) of the particular trade; implements neural networks algorithm to interpret and extract key trade details data from the receive user input data corresponding to the trade details of the particular trade regardless of text structure of the input data; and automatically fills in corresponding trading ticket fields in real-time based on the extracted key trade details data. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US11720964B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US11720964B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US11720964B23</originalsourceid><addsrcrecordid>eNrjZDAMriwuSc1VSMxLUchNLcnIT1FIyy9SyEssKS1KzFHIScxLL01MT1XIL0pJLVJIy8zJ4WFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8aHBhobmRgaWZiZORsbEqAEAhA4rpg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>System and method for natural language order fill</title><source>esp@cenet</source><creator>Ramanunni, Prajod Kumbalaparambil ; Agrawal, Tushar ; Subramaniam, Senthilkumar ; Roy, Jyoti ; Thanasekaran, Vijayasingam</creator><creatorcontrib>Ramanunni, Prajod Kumbalaparambil ; Agrawal, Tushar ; Subramaniam, Senthilkumar ; Roy, Jyoti ; Thanasekaran, Vijayasingam</creatorcontrib><description>Various methods, apparatuses/systems, and media for implementing a natural language order fill module are disclosed. A database stores data corresponding to trade details of a particular trade. A processor is operatively coupled to the database via a communication network. The processor configures a free-form text box to receive user input data corresponding to the trade details (e.g., abbreviations data, varying sentence syntax data, special characters data and details data, etc.) of the particular trade; implements neural networks algorithm to interpret and extract key trade details data from the receive user input data corresponding to the trade details of the particular trade regardless of text structure of the input data; and automatically fills in corresponding trading ticket fields in real-time based on the extracted key trade details data.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</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=20230808&DB=EPODOC&CC=US&NR=11720964B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230808&DB=EPODOC&CC=US&NR=11720964B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Ramanunni, Prajod Kumbalaparambil</creatorcontrib><creatorcontrib>Agrawal, Tushar</creatorcontrib><creatorcontrib>Subramaniam, Senthilkumar</creatorcontrib><creatorcontrib>Roy, Jyoti</creatorcontrib><creatorcontrib>Thanasekaran, Vijayasingam</creatorcontrib><title>System and method for natural language order fill</title><description>Various methods, apparatuses/systems, and media for implementing a natural language order fill module are disclosed. A database stores data corresponding to trade details of a particular trade. A processor is operatively coupled to the database via a communication network. The processor configures a free-form text box to receive user input data corresponding to the trade details (e.g., abbreviations data, varying sentence syntax data, special characters data and details data, etc.) of the particular trade; implements neural networks algorithm to interpret and extract key trade details data from the receive user input data corresponding to the trade details of the particular trade regardless of text structure of the input data; and automatically fills in corresponding trading ticket fields in real-time based on the extracted key trade details data.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDAMriwuSc1VSMxLUchNLcnIT1FIyy9SyEssKS1KzFHIScxLL01MT1XIL0pJLVJIy8zJ4WFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8aHBhobmRgaWZiZORsbEqAEAhA4rpg</recordid><startdate>20230808</startdate><enddate>20230808</enddate><creator>Ramanunni, Prajod Kumbalaparambil</creator><creator>Agrawal, Tushar</creator><creator>Subramaniam, Senthilkumar</creator><creator>Roy, Jyoti</creator><creator>Thanasekaran, Vijayasingam</creator><scope>EVB</scope></search><sort><creationdate>20230808</creationdate><title>System and method for natural language order fill</title><author>Ramanunni, Prajod Kumbalaparambil ; Agrawal, Tushar ; Subramaniam, Senthilkumar ; Roy, Jyoti ; Thanasekaran, Vijayasingam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11720964B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>Ramanunni, Prajod Kumbalaparambil</creatorcontrib><creatorcontrib>Agrawal, Tushar</creatorcontrib><creatorcontrib>Subramaniam, Senthilkumar</creatorcontrib><creatorcontrib>Roy, Jyoti</creatorcontrib><creatorcontrib>Thanasekaran, Vijayasingam</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ramanunni, Prajod Kumbalaparambil</au><au>Agrawal, Tushar</au><au>Subramaniam, Senthilkumar</au><au>Roy, Jyoti</au><au>Thanasekaran, Vijayasingam</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>System and method for natural language order fill</title><date>2023-08-08</date><risdate>2023</risdate><abstract>Various methods, apparatuses/systems, and media for implementing a natural language order fill module are disclosed. A database stores data corresponding to trade details of a particular trade. A processor is operatively coupled to the database via a communication network. The processor configures a free-form text box to receive user input data corresponding to the trade details (e.g., abbreviations data, varying sentence syntax data, special characters data and details data, etc.) of the particular trade; implements neural networks algorithm to interpret and extract key trade details data from the receive user input data corresponding to the trade details of the particular trade regardless of text structure of the input data; and automatically fills in corresponding trading ticket fields in real-time based on the extracted key trade details data.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US11720964B2 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | System and method for natural language order fill |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T12%3A56%3A42IST&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=Ramanunni,%20Prajod%20Kumbalaparambil&rft.date=2023-08-08&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS11720964B2%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 |