METHOD AND SYSTEM FOR INFORMATION EXTRACTION FROM DOCUMENT IMAGES USING CONVERSATIONAL INTERFACE AND DATABASE QUERYING
Various methods are using SQL based data extraction for extracting relevant information from images. These are rule based methods of generating SQL-Query from NL, if any new English sentences are to be handled then manual intervention is required. Further becomes difficult for non-technical user. 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 | SRINIVASAN, Ashwin SHROFF, Gautam CHOWDHURY, Arindam DORESWAMY, Vishwanath VIG, Lovekesh RAHUL, Rohit SHARMA, Monika SEHGAL, Gunjan |
description | Various methods are using SQL based data extraction for extracting relevant information from images. These are rule based methods of generating SQL-Query from NL, if any new English sentences are to be handled then manual intervention is required. Further becomes difficult for non-technical user. A system and method for extracting relevant from the images using a conversational interface and database querying have been provided. The system eliminates noisy effects, identifying the type of documents and detect various entities for diagrams. Further a schema is designed which allows an easy to understand abstraction of the entities detected by the deep vision models and the relationships between them. Relevant information and fields can then be extracted from the document by writing SQL queries on top of the relationship tables. A natural language based interface is added so that a non-technical user, specifying the queries in natural language, can fetch the information effortlessly. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2020175304A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2020175304A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2020175304A13</originalsourceid><addsrcrecordid>eNqNjMEKwjAQRHvxIOo_LHgW2qp4XpNNGzAJJhuxp1IknkQLFb_fUvwALzNzePPm2ccQ104CWgmhCUwGlPOg7ZgGWTsLdGWPYprKOwPSiWjIMmiDFQWIQdsKhLMX8mG64GkUMHmFgiazRMYjBoJzJN-M-DKb3bvHkFa_XmRrRSzqTepfbRr67pae6d3GUOZlXhz223yHxfY_6gtCrjqs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>METHOD AND SYSTEM FOR INFORMATION EXTRACTION FROM DOCUMENT IMAGES USING CONVERSATIONAL INTERFACE AND DATABASE QUERYING</title><source>esp@cenet</source><creator>SRINIVASAN, Ashwin ; SHROFF, Gautam ; CHOWDHURY, Arindam ; DORESWAMY, Vishwanath ; VIG, Lovekesh ; RAHUL, Rohit ; SHARMA, Monika ; SEHGAL, Gunjan</creator><creatorcontrib>SRINIVASAN, Ashwin ; SHROFF, Gautam ; CHOWDHURY, Arindam ; DORESWAMY, Vishwanath ; VIG, Lovekesh ; RAHUL, Rohit ; SHARMA, Monika ; SEHGAL, Gunjan</creatorcontrib><description>Various methods are using SQL based data extraction for extracting relevant information from images. These are rule based methods of generating SQL-Query from NL, if any new English sentences are to be handled then manual intervention is required. Further becomes difficult for non-technical user. A system and method for extracting relevant from the images using a conversational interface and database querying have been provided. The system eliminates noisy effects, identifying the type of documents and detect various entities for diagrams. Further a schema is designed which allows an easy to understand abstraction of the entities detected by the deep vision models and the relationships between them. Relevant information and fields can then be extracted from the document by writing SQL queries on top of the relationship tables. A natural language based interface is added so that a non-technical user, specifying the queries in natural language, can fetch the information effortlessly.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2020</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=20200604&DB=EPODOC&CC=US&NR=2020175304A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200604&DB=EPODOC&CC=US&NR=2020175304A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SRINIVASAN, Ashwin</creatorcontrib><creatorcontrib>SHROFF, Gautam</creatorcontrib><creatorcontrib>CHOWDHURY, Arindam</creatorcontrib><creatorcontrib>DORESWAMY, Vishwanath</creatorcontrib><creatorcontrib>VIG, Lovekesh</creatorcontrib><creatorcontrib>RAHUL, Rohit</creatorcontrib><creatorcontrib>SHARMA, Monika</creatorcontrib><creatorcontrib>SEHGAL, Gunjan</creatorcontrib><title>METHOD AND SYSTEM FOR INFORMATION EXTRACTION FROM DOCUMENT IMAGES USING CONVERSATIONAL INTERFACE AND DATABASE QUERYING</title><description>Various methods are using SQL based data extraction for extracting relevant information from images. These are rule based methods of generating SQL-Query from NL, if any new English sentences are to be handled then manual intervention is required. Further becomes difficult for non-technical user. A system and method for extracting relevant from the images using a conversational interface and database querying have been provided. The system eliminates noisy effects, identifying the type of documents and detect various entities for diagrams. Further a schema is designed which allows an easy to understand abstraction of the entities detected by the deep vision models and the relationships between them. Relevant information and fields can then be extracted from the document by writing SQL queries on top of the relationship tables. A natural language based interface is added so that a non-technical user, specifying the queries in natural language, can fetch the information effortlessly.</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>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjMEKwjAQRHvxIOo_LHgW2qp4XpNNGzAJJhuxp1IknkQLFb_fUvwALzNzePPm2ccQ104CWgmhCUwGlPOg7ZgGWTsLdGWPYprKOwPSiWjIMmiDFQWIQdsKhLMX8mG64GkUMHmFgiazRMYjBoJzJN-M-DKb3bvHkFa_XmRrRSzqTepfbRr67pae6d3GUOZlXhz223yHxfY_6gtCrjqs</recordid><startdate>20200604</startdate><enddate>20200604</enddate><creator>SRINIVASAN, Ashwin</creator><creator>SHROFF, Gautam</creator><creator>CHOWDHURY, Arindam</creator><creator>DORESWAMY, Vishwanath</creator><creator>VIG, Lovekesh</creator><creator>RAHUL, Rohit</creator><creator>SHARMA, Monika</creator><creator>SEHGAL, Gunjan</creator><scope>EVB</scope></search><sort><creationdate>20200604</creationdate><title>METHOD AND SYSTEM FOR INFORMATION EXTRACTION FROM DOCUMENT IMAGES USING CONVERSATIONAL INTERFACE AND DATABASE QUERYING</title><author>SRINIVASAN, Ashwin ; SHROFF, Gautam ; CHOWDHURY, Arindam ; DORESWAMY, Vishwanath ; VIG, Lovekesh ; RAHUL, Rohit ; SHARMA, Monika ; SEHGAL, Gunjan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020175304A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</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>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SRINIVASAN, Ashwin</creatorcontrib><creatorcontrib>SHROFF, Gautam</creatorcontrib><creatorcontrib>CHOWDHURY, Arindam</creatorcontrib><creatorcontrib>DORESWAMY, Vishwanath</creatorcontrib><creatorcontrib>VIG, Lovekesh</creatorcontrib><creatorcontrib>RAHUL, Rohit</creatorcontrib><creatorcontrib>SHARMA, Monika</creatorcontrib><creatorcontrib>SEHGAL, Gunjan</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SRINIVASAN, Ashwin</au><au>SHROFF, Gautam</au><au>CHOWDHURY, Arindam</au><au>DORESWAMY, Vishwanath</au><au>VIG, Lovekesh</au><au>RAHUL, Rohit</au><au>SHARMA, Monika</au><au>SEHGAL, Gunjan</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHOD AND SYSTEM FOR INFORMATION EXTRACTION FROM DOCUMENT IMAGES USING CONVERSATIONAL INTERFACE AND DATABASE QUERYING</title><date>2020-06-04</date><risdate>2020</risdate><abstract>Various methods are using SQL based data extraction for extracting relevant information from images. These are rule based methods of generating SQL-Query from NL, if any new English sentences are to be handled then manual intervention is required. Further becomes difficult for non-technical user. A system and method for extracting relevant from the images using a conversational interface and database querying have been provided. The system eliminates noisy effects, identifying the type of documents and detect various entities for diagrams. Further a schema is designed which allows an easy to understand abstraction of the entities detected by the deep vision models and the relationships between them. Relevant information and fields can then be extracted from the document by writing SQL queries on top of the relationship tables. A natural language based interface is added so that a non-technical user, specifying the queries in natural language, can fetch the information effortlessly.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_US2020175304A1 |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | METHOD AND SYSTEM FOR INFORMATION EXTRACTION FROM DOCUMENT IMAGES USING CONVERSATIONAL INTERFACE AND DATABASE QUERYING |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T12%3A23%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=SRINIVASAN,%20Ashwin&rft.date=2020-06-04&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2020175304A1%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 |