{"id":"https://openalex.org/W3117356452","doi":"https://doi.org/10.1145/3430984.3431001","title":"MoDest: Multi-module Design Validation for Documents","display_name":"MoDest: Multi-module Design Validation for Documents","publication_year":2020,"publication_date":"2020-12-28","ids":{"openalex":"https://openalex.org/W3117356452","doi":"https://doi.org/10.1145/3430984.3431001","mag":"3117356452"},"language":"en","primary_location":{"id":"doi:10.1145/3430984.3431001","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430984.3431001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053663247","display_name":"Bhanupriya Pegu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhanupriya Pegu","raw_affiliation_strings":["AI Garage, Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Garage, Mastercard, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084235091","display_name":"Maneet Singh","orcid":"https://orcid.org/0000-0001-5086-1026"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maneet Singh","raw_affiliation_strings":["AI Garage, Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Garage, Mastercard, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051305141","display_name":"Kamal Kant","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kamal Kant","raw_affiliation_strings":["AI Garage, Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Garage, Mastercard, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102172739","display_name":"Karamjit Singh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karamjit Singh","raw_affiliation_strings":["AI Garage, Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Garage, Mastercard, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088379045","display_name":"Tanmoy Bhowmik","orcid":"https://orcid.org/0000-0002-3344-9213"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tanmoy Bhowmik","raw_affiliation_strings":["AI Garage, Mastercard, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Garage, Mastercard, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15958961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"332","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8088897466659546},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6176027059555054},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6101252436637878},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5337774753570557},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4895645081996918},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4550796449184418},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.44956231117248535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4463047683238983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3217136263847351},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15170621871948242},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.1325048804283142},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08815795183181763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8088897466659546},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6176027059555054},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6101252436637878},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5337774753570557},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4895645081996918},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4550796449184418},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.44956231117248535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4463047683238983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3217136263847351},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15170621871948242},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.1325048804283142},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08815795183181763},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3430984.3431001","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430984.3431001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2001642682","https://openalex.org/W2111308925","https://openalex.org/W2133059825","https://openalex.org/W2145023731","https://openalex.org/W2158941357","https://openalex.org/W2605982830","https://openalex.org/W2891909108","https://openalex.org/W2922714365","https://openalex.org/W2948784110","https://openalex.org/W2968507164","https://openalex.org/W3004330198","https://openalex.org/W3013456385","https://openalex.org/W3034864438","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W613940353","https://openalex.org/W2807251790","https://openalex.org/W2320915480","https://openalex.org/W2362990116","https://openalex.org/W2799406489","https://openalex.org/W2381300099","https://openalex.org/W2714992399","https://openalex.org/W2383812217"],"abstract_inverted_index":{"Information":[0],"extraction":[1,97],"(IE)":[2],"from":[3,35,50,189,203],"Visually":[4],"Rich":[5],"Documents":[6],"(VRDs)":[7],"is":[8,17,147],"a":[9,54,60,77,116,153],"common":[10],"need":[11],"for":[12,19,66,74,101,141,149,152,214],"businesses,":[13],"where":[14],"extracted":[15,113],"information":[16,49,96],"used":[18],"various":[20],"purposes":[21],"such":[22,42],"as":[23,43,89],"verification,":[24],"design":[25,63,120,136,150,215],"validation,":[26],"or":[27,133],"compliance.":[28],"Most":[29],"of":[30,80,119,156,164,175,196,207],"the":[31,103,112,128,142,161,194,197,204,208],"research":[32,58],"in":[33],"IE":[34],"VRDs":[36,52,68],"has":[37],"focused":[38],"on":[39,185],"textual":[40,70,104],"documents":[41],"invoices":[44],"and":[45,71,105,166],"receipts,":[46],"while":[47,137],"extracting":[48],"multi-modal":[51,67,125],"remains":[53],"challenging":[55],"task.":[56],"This":[57],"presents":[59],"novel":[61],"end-to-end":[62],"validation":[64,151],"framework":[65,91,130,146,209],"containing":[69],"visual":[72,106],"components,":[73,107],"compliance":[75],"against":[76,115],"pre-defined":[78,117],"set":[79,118],"rules.":[81,121],"The":[82,144],"proposed":[83,145,198],"Multi-mOdule":[84],"DESign":[85],"validaTion":[86],"(referred":[87],"to":[88,179],"MoDest)":[90],"constitutes":[92],"two":[93],"steps:":[94],"(i)":[95],"using":[98],"five":[99],"modules":[100],"obtaining":[102],"followed":[108],"by":[109],"(ii)":[110],"validating":[111],"components":[114],"Given":[122],"an":[123,139],"input":[124],"VRD":[126],"image,":[127],"MoDest":[129,199],"either":[131],"accepts":[132],"rejects":[134],"its":[135,212],"providing":[138],"explanation":[140],"decision.":[143],"tested":[148],"particular":[154],"type":[155],"VRDs:":[157],"banking":[158],"cards,":[159],"under":[160],"real-world":[162,205],"constraint":[163],"limited":[165],"highly":[167],"imbalance":[168],"training":[169],"data":[170],"with":[171],"more":[172],"than":[173],"99%":[174],"card":[176],"designs":[177],"belonging":[178],"one":[180],"class":[181],"(accepted).":[182],"Experimental":[183],"evaluation":[184],"real":[186],"world":[187],"images":[188],"our":[190],"in-house":[191],"dataset":[192],"demonstrates":[193],"effectiveness":[195],"framework.":[200],"Analysis":[201],"drawn":[202],"deployment":[206],"further":[210],"strengthens":[211],"utility":[213],"validation.":[216]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}