BIAS DETECTION FOR UNSTRUCTURED TEXT
One embodiment provides a method, including: receiving a target unstructured document for determining whether the target unstructured document comprises biased information; identifying an objective of the target unstructured document by extracting, from the target unstructured document, (i) entities...
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| creator | Lohia, Pranay Kumar Gupta, Himanshu Shaikh, Samiulla Zakir Hussain Kumar, Atul Chandrahasan, Rajmohan Mehta, Sameep |
| description | One embodiment provides a method, including: receiving a target unstructured document for determining whether the target unstructured document comprises biased information; identifying an objective of the target unstructured document by extracting, from the target unstructured document, (i) entities and (ii) relationships between the entities; creating a structured knowledge base, wherein the creating comprises (i) creating an entry in the structured knowledge base corresponding to the target unstructured document, (ii) identifying other unstructured documents having a similarity to the target unstructured document, and (iii) generating an entry in the structured knowledge base corresponding to each of the other unstructured documents; applying a bias detection technique on the structured knowledge base; and providing an indication of whether the target unstructured document comprises bias. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2020327424A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2020327424A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2020327424A13</originalsourceid><addsrcrecordid>eNrjZFBx8nQMVnBxDXF1DvH091Nw8w9SCPULDgkKdQ4JDXJ1UQhxjQjhYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkYGxkbmJkYmjobGxKkCABmbJBU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>BIAS DETECTION FOR UNSTRUCTURED TEXT</title><source>esp@cenet</source><creator>Lohia, Pranay Kumar ; Gupta, Himanshu ; Shaikh, Samiulla Zakir Hussain ; Kumar, Atul ; Chandrahasan, Rajmohan ; Mehta, Sameep</creator><creatorcontrib>Lohia, Pranay Kumar ; Gupta, Himanshu ; Shaikh, Samiulla Zakir Hussain ; Kumar, Atul ; Chandrahasan, Rajmohan ; Mehta, Sameep</creatorcontrib><description>One embodiment provides a method, including: receiving a target unstructured document for determining whether the target unstructured document comprises biased information; identifying an objective of the target unstructured document by extracting, from the target unstructured document, (i) entities and (ii) relationships between the entities; creating a structured knowledge base, wherein the creating comprises (i) creating an entry in the structured knowledge base corresponding to the target unstructured document, (ii) identifying other unstructured documents having a similarity to the target unstructured document, and (iii) generating an entry in the structured knowledge base corresponding to each of the other unstructured documents; applying a bias detection technique on the structured knowledge base; and providing an indication of whether the target unstructured document comprises bias.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; 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=20201015&DB=EPODOC&CC=US&NR=2020327424A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201015&DB=EPODOC&CC=US&NR=2020327424A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Lohia, Pranay Kumar</creatorcontrib><creatorcontrib>Gupta, Himanshu</creatorcontrib><creatorcontrib>Shaikh, Samiulla Zakir Hussain</creatorcontrib><creatorcontrib>Kumar, Atul</creatorcontrib><creatorcontrib>Chandrahasan, Rajmohan</creatorcontrib><creatorcontrib>Mehta, Sameep</creatorcontrib><title>BIAS DETECTION FOR UNSTRUCTURED TEXT</title><description>One embodiment provides a method, including: receiving a target unstructured document for determining whether the target unstructured document comprises biased information; identifying an objective of the target unstructured document by extracting, from the target unstructured document, (i) entities and (ii) relationships between the entities; creating a structured knowledge base, wherein the creating comprises (i) creating an entry in the structured knowledge base corresponding to the target unstructured document, (ii) identifying other unstructured documents having a similarity to the target unstructured document, and (iii) generating an entry in the structured knowledge base corresponding to each of the other unstructured documents; applying a bias detection technique on the structured knowledge base; and providing an indication of whether the target unstructured document comprises bias.</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>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFBx8nQMVnBxDXF1DvH091Nw8w9SCPULDgkKdQ4JDXJ1UQhxjQjhYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkYGxkbmJkYmjobGxKkCABmbJBU</recordid><startdate>20201015</startdate><enddate>20201015</enddate><creator>Lohia, Pranay Kumar</creator><creator>Gupta, Himanshu</creator><creator>Shaikh, Samiulla Zakir Hussain</creator><creator>Kumar, Atul</creator><creator>Chandrahasan, Rajmohan</creator><creator>Mehta, Sameep</creator><scope>EVB</scope></search><sort><creationdate>20201015</creationdate><title>BIAS DETECTION FOR UNSTRUCTURED TEXT</title><author>Lohia, Pranay Kumar ; Gupta, Himanshu ; Shaikh, Samiulla Zakir Hussain ; Kumar, Atul ; Chandrahasan, Rajmohan ; Mehta, Sameep</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020327424A13</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>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Lohia, Pranay Kumar</creatorcontrib><creatorcontrib>Gupta, Himanshu</creatorcontrib><creatorcontrib>Shaikh, Samiulla Zakir Hussain</creatorcontrib><creatorcontrib>Kumar, Atul</creatorcontrib><creatorcontrib>Chandrahasan, Rajmohan</creatorcontrib><creatorcontrib>Mehta, Sameep</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lohia, Pranay Kumar</au><au>Gupta, Himanshu</au><au>Shaikh, Samiulla Zakir Hussain</au><au>Kumar, Atul</au><au>Chandrahasan, Rajmohan</au><au>Mehta, Sameep</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>BIAS DETECTION FOR UNSTRUCTURED TEXT</title><date>2020-10-15</date><risdate>2020</risdate><abstract>One embodiment provides a method, including: receiving a target unstructured document for determining whether the target unstructured document comprises biased information; identifying an objective of the target unstructured document by extracting, from the target unstructured document, (i) entities and (ii) relationships between the entities; creating a structured knowledge base, wherein the creating comprises (i) creating an entry in the structured knowledge base corresponding to the target unstructured document, (ii) identifying other unstructured documents having a similarity to the target unstructured document, and (iii) generating an entry in the structured knowledge base corresponding to each of the other unstructured documents; applying a bias detection technique on the structured knowledge base; and providing an indication of whether the target unstructured document comprises bias.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | BIAS DETECTION FOR UNSTRUCTURED TEXT |
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