{"id":"https://openalex.org/W4385767964","doi":"https://doi.org/10.24963/ijcai.2023/152","title":"Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables","display_name":"Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385767964","doi":"https://doi.org/10.24963/ijcai.2023/152"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/152","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/152","pdf_url":"https://www.ijcai.org/proceedings/2023/0152.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second 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/2023/0152.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017766479","display_name":"Huawen Shen","orcid":"https://orcid.org/0000-0001-8192-4552"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huawen Shen","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017334961","display_name":"Xiang Gao","orcid":"https://orcid.org/0000-0003-3618-043X"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Gao","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674793","display_name":"Wei Jin","orcid":"https://orcid.org/0000-0003-2016-0901"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wei","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Information and Communication Engineering, Communication University of China, Beijing, China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Information and Communication Engineering, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Information and Communication Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I75689368","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026297587","display_name":"Qiao Liang","orcid":"https://orcid.org/0000-0003-4464-4644"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Qiao","raw_affiliation_strings":["Hikvision Research Institute, China"],"affiliations":[{"raw_affiliation_string":"Hikvision Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016175345","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0003-4188-9953"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429920","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0001-9833-2836"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011185036","display_name":"Zhanzhan Cheng","orcid":"https://orcid.org/0000-0002-5732-1513"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhanzhan Cheng","raw_affiliation_strings":["Hikvision Research Institute, China"],"affiliations":[{"raw_affiliation_string":"Hikvision Research Institute, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5017766479"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":6.8919,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96961432,"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":"1369","last_page":"1377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9904999732971191,"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":0.9901000261306763,"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":0.7766386270523071},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7278469800949097},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6280601620674133},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6278821229934692},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.6180197596549988},{"id":"https://openalex.org/keywords/row-and-column-spaces","display_name":"Row and column spaces","score":0.5699190497398376},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46760526299476624},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4527454972267151},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4150428771972656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40787479281425476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3793150782585144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36934220790863037},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12366625666618347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12019243836402893},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09683558344841003}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766386270523071},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7278469800949097},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6280601620674133},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6278821229934692},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.6180197596549988},{"id":"https://openalex.org/C104140500","wikidata":"https://www.wikidata.org/wiki/Q2088159","display_name":"Row and column spaces","level":3,"score":0.5699190497398376},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46760526299476624},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4527454972267151},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4150428771972656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40787479281425476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3793150782585144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36934220790863037},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12366625666618347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12019243836402893},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09683558344841003},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/152","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/152","pdf_url":"https://www.ijcai.org/proceedings/2023/0152.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/152","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/152","pdf_url":"https://www.ijcai.org/proceedings/2023/0152.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385767964.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1514535095","https://openalex.org/W1660460062","https://openalex.org/W2139053978","https://openalex.org/W2194775991","https://openalex.org/W2626873800","https://openalex.org/W2786162033","https://openalex.org/W2948197522","https://openalex.org/W2963037989","https://openalex.org/W2968868378","https://openalex.org/W3003514020","https://openalex.org/W3003931580","https://openalex.org/W3004240503","https://openalex.org/W3032536818","https://openalex.org/W3034447740","https://openalex.org/W3034997246","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3107064625","https://openalex.org/W3109870706","https://openalex.org/W3157482220","https://openalex.org/W3176384932","https://openalex.org/W3176851559","https://openalex.org/W3196534889","https://openalex.org/W3200280307","https://openalex.org/W3201922353","https://openalex.org/W3206651063","https://openalex.org/W3213341651","https://openalex.org/W4214693170","https://openalex.org/W4225829029","https://openalex.org/W4290802733","https://openalex.org/W4301409532","https://openalex.org/W4304084026","https://openalex.org/W4312554912","https://openalex.org/W4317677707","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2313440505","https://openalex.org/W3123744736","https://openalex.org/W2137691148","https://openalex.org/W1505848319","https://openalex.org/W4281399881","https://openalex.org/W3166006430","https://openalex.org/W4281971614","https://openalex.org/W2049180840","https://openalex.org/W1992086467","https://openalex.org/W3121299875"],"abstract_inverted_index":{"Recent":[0],"advanced":[1],"Table":[2],"Structure":[3],"Recognition":[4],"(TSR)":[5],"models":[6,77],"adopt":[7],"image-to-text":[8,107],"solutions":[9],"to":[10,55,216],"parse":[11],"table":[12,30,58,138,147,172],"structure.":[13],"These":[14],"methods":[15,51,160],"can":[16],"be":[17],"formulated":[18],"as":[19,85],"image":[20,27,196],"caption":[21],"problem,":[22],"i.e.,":[23],"input":[24],"a":[25,34,69,105,127,154,184],"single-table":[26],"and":[28,74,116,142],"output":[29],"structure":[31,194],"description":[32],"in":[33,46,60,94,153],"specific":[35,215],"text":[36,47,59,90,164],"format,":[37],"e.g.,":[38],"HTML.":[39],"With":[40],"the":[41,81,86,121,133,143,166,191],"impressive":[42],"success":[43],"of":[44,72,88,123,150,168,195],"Transformer":[45,53],"generation":[48],"tasks,":[49],"these":[50],"use":[52],"architecture":[54,131],"predict":[56,162],"HTML":[57,137,146,163,180],"an":[61,179],"autoregressive":[62,217],"manner.":[63,156],"However,":[64],"tables":[65,205],"always":[66],"emerge":[67],"with":[68,132,158,183],"large":[70,98,204],"variety":[71],"shapes":[73],"sizes.":[75],"Autoregressive":[76],"usually":[78],"suffer":[79],"from":[80],"error":[82,113,212],"accumulation":[83,114,213],"problem":[84,214],"length":[87],"predicted":[89],"increases,":[91],"which":[92,188],"results":[93],"unsatisfactory":[95],"performance":[96,118,227],"for":[97,203],"tables.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103],"propose":[104],"novel":[106],"based":[108],"TSR":[109],"method":[110,125,224],"that":[111,161,222],"relieves":[112],"problems":[115],"improves":[117],"noticeably.":[119],"At":[120],"core":[122],"our":[124,169,223],"is":[126,174],"cascaded":[128],"two-step":[129,186],"decoder":[130,135],"former":[134],"predicting":[136,145],"row":[139,152],"tags":[140,149],"non-autoregressively":[141],"latter":[144],"cell":[148],"each":[151],"semi-autoregressive":[155],"Compared":[157],"existing":[159],"autoregressively,":[165],"superiority":[167],"row-to-cell":[170],"progressive":[171],"parsing":[173],"twofold:":[175],"(1)":[176],"it":[177,199,210],"generates":[178],"tag":[181],"sequence":[182,207],"vertical-and-horizontal":[185],"`scanning',":[187],"better":[189,202],"fits":[190],"inherent":[192],"2D":[193],"data,":[197],"(2)":[198],"performs":[200],"substantially":[201],"(long":[206],"prediction)":[208],"since":[209],"alleviates":[211],"models.":[218],"Extensive":[219],"experiments":[220],"demonstrate":[221],"achieves":[225],"competitive":[226],"on":[228],"three":[229],"public":[230],"benchmarks.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
