{"id":"https://openalex.org/W3190448953","doi":"https://doi.org/10.24963/ijcai.2021/144","title":"MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction","display_name":"MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3190448953","doi":"https://doi.org/10.24963/ijcai.2021/144","mag":"3190448953"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/144","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/144","pdf_url":"https://www.ijcai.org/proceedings/2021/0144.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0144.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074989007","display_name":"Guozhi Tang","orcid":"https://orcid.org/0000-0003-0859-5195"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guozhi Tang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072757173","display_name":"Lele Xie","orcid":"https://orcid.org/0000-0001-7731-9341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lele Xie","raw_affiliation_strings":["Ant Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080674767","display_name":"Lianwen Jin","orcid":"https://orcid.org/0000-0002-5456-0957"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianwen Jin","raw_affiliation_strings":["Guangdong Artificial Intelligence and Digital Economy Laboratory (Pazhou Lab), Guangzhou, China","School of Electronic and Information Engineering, South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Artificial Intelligence and Digital Economy Laboratory (Pazhou Lab), Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695120","display_name":"Jiapeng Wang","orcid":"https://orcid.org/0000-0003-1498-0305"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiapeng Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056129529","display_name":"Jingdong Chen","orcid":"https://orcid.org/0000-0003-0083-9247"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingdong Chen","raw_affiliation_strings":["Ant Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039824546","display_name":"Zhen Xu","orcid":"https://orcid.org/0000-0001-9688-6958"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Xu","raw_affiliation_strings":["Lenovo Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lenovo Research, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115694806","display_name":"Qianying Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianying Wang","raw_affiliation_strings":["Lenovo Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lenovo Research, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000446732","display_name":"Yaqiang Wu","orcid":"https://orcid.org/0000-0001-8830-8250"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqiang Wu","raw_affiliation_strings":["Lenovo Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lenovo Research, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423935","display_name":"Hui Li","orcid":"https://orcid.org/0000-0002-9058-3945"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Lenovo Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lenovo Research, China","institution_ids":["https://openalex.org/I4210156165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5074989007"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":3.0072,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.92839052,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1039","last_page":"1045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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":0.9986000061035156,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9976999759674072,"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":0.828818678855896},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6712933778762817},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6488077640533447},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.6191924810409546},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5929126739501953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5504778027534485},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5025527477264404},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.49808430671691895},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4496581256389618},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.4169781804084778},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4099096655845642},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4022533893585205},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38077986240386963},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12428399920463562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828818678855896},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6712933778762817},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6488077640533447},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.6191924810409546},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5929126739501953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5504778027534485},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5025527477264404},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.49808430671691895},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4496581256389618},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.4169781804084778},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4099096655845642},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4022533893585205},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38077986240386963},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12428399920463562},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/144","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/144","pdf_url":"https://www.ijcai.org/proceedings/2021/0144.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/144","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/144","pdf_url":"https://www.ijcai.org/proceedings/2021/0144.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1409295806","display_name":null,"funder_award_id":"2017A030312006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1611959150","display_name":"\u57fa\u4e8e\u60ef\u6027\u4f20\u611f\u5668\u4fe1\u53f7\u8def\u5f84\u7279\u5f81\u53d8\u6362\u7684\u7a7a\u4e2d\u4e66\u5199\u4ea4\u4e92\u8bc6\u522b\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1887926813","display_name":null,"funder_award_id":"Grant No.: 61936003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5448689216","display_name":null,"funder_award_id":"61936003","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6852825479","display_name":null,"funder_award_id":"61936003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3190448953.pdf","grobid_xml":"https://content.openalex.org/works/W3190448953.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2296283641","https://openalex.org/W2884561390","https://openalex.org/W2891117443","https://openalex.org/W2892948265","https://openalex.org/W2896457183","https://openalex.org/W2922714365","https://openalex.org/W2948729509","https://openalex.org/W2949861626","https://openalex.org/W2963446712","https://openalex.org/W2964015378","https://openalex.org/W2970323499","https://openalex.org/W2972985407","https://openalex.org/W2986619406","https://openalex.org/W3003335533","https://openalex.org/W3003478049","https://openalex.org/W3003484198","https://openalex.org/W3003683768","https://openalex.org/W3021347667","https://openalex.org/W3083876082","https://openalex.org/W3092968218","https://openalex.org/W3093218477","https://openalex.org/W3104953317","https://openalex.org/W3132296545","https://openalex.org/W3163650427","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W2382566571","https://openalex.org/W2349321798","https://openalex.org/W2366686860","https://openalex.org/W3036520466","https://openalex.org/W1986106996","https://openalex.org/W4285012873","https://openalex.org/W2122517733","https://openalex.org/W3196281958","https://openalex.org/W1595649729","https://openalex.org/W1589942365"],"abstract_inverted_index":{"Visual":[0],"Information":[1],"Extraction":[2],"(VIE)":[3],"task":[4,25,172],"aims":[5],"to":[6,38,109,130,156,168,187],"extract":[7],"key":[8],"information":[9],"from":[10],"multifarious":[11],"document":[12],"images":[13],"(e.g.,":[14],"invoices":[15],"and":[16,112,179,181],"purchase":[17],"receipts).":[18],"Most":[19],"previous":[20,153],"methods":[21],"treat":[22],"the":[23,102,107,116,132,147,157,165,170,175,188],"VIE":[24,93,171],"simply":[26,55,113],"as":[27,50],"a":[28,81,88,124,184],"sequence":[29],"labeling":[30],"problem":[31],"or":[32,68],"classification":[33],"problem,":[34],"which":[35,137],"requires":[36],"models":[37],"carefully":[39],"identify":[40],"each":[41],"kind":[42],"of":[43,134,159],"semantics":[44],"by":[45,173],"introducing":[46,56],"multimodal":[47,57],"features,":[48],"such":[49],"font,":[51],"color,":[52],"layout.":[53],"But":[54],"features":[58],"can't":[59],"work":[60],"well":[61],"when":[62],"faced":[63],"with":[64],"numeric":[65],"semantic":[66],"categories":[67],"some":[69],"ambiguous":[70],"texts.":[71],"To":[72],"address":[73],"this":[74,77],"issue,":[75],"in":[76],"paper":[78],"we":[79,122],"propose":[80],"novel":[82],"key-value":[83,96],"matching":[84,97],"model":[85,139],"based":[86,98],"on":[87,99,115],"graph":[89],"neural":[90],"network":[91],"for":[92],"(MatchVIE).":[94],"Through":[95],"relevancy":[100,118,176],"evaluation,":[101],"proposed":[103,148],"MatchVIE":[104,149,162],"can":[105,150],"bypass":[106],"recognitions":[108],"various":[110],"semantics,":[111],"focuses":[114],"strong":[117],"between":[119,177],"entities.":[120],"Besides,":[121],"introduce":[123],"simple":[125],"but":[126],"effective":[127],"operation,":[128],"Num2Vec,":[129],"tackle":[131,169],"instability":[133],"encoded":[135],"values,":[136],"helps":[138],"converge":[140],"more":[141],"smoothly.":[142],"Comprehensive":[143],"experiments":[144],"demonstrate":[145],"that":[146],"significantly":[151],"outperform":[152],"methods.":[154,190],"Notably,":[155],"best":[158],"our":[160],"knowledge,":[161],"may":[163],"be":[164],"first":[166],"attempt":[167],"modeling":[174],"keys":[178],"values":[180],"it":[182],"is":[183],"good":[185],"complement":[186],"existing":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
