{"id":"https://openalex.org/W4385570069","doi":"https://doi.org/10.18653/v1/2023.findings-acl.330","title":"A Sequence-to-Sequence&Set Model for Text-to-Table Generation","display_name":"A Sequence-to-Sequence&Set Model for Text-to-Table Generation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385570069","doi":"https://doi.org/10.18653/v1/2023.findings-acl.330"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.findings-acl.330","doi":"https://doi.org/10.18653/v1/2023.findings-acl.330","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-acl.330","pdf_url":"https://aclanthology.org/2023.findings-acl.330.pdf","source":{"id":"https://openalex.org/S4363605144","display_name":"Findings of the Association for Computational Linguistics: ACL (Findings of ACL)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2023","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W4385570069"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2023.findings-acl.330.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100359063","display_name":"Tong Li","orcid":"https://orcid.org/0000-0003-4623-6396","observed_orcids":["https://orcid.org/0000-0003-4623-6396"]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Li","raw_affiliation_strings":["Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, China","School of Informatics, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409115","display_name":"Zhihao Wang","orcid":"https://orcid.org/0000-0001-6924-4079","observed_orcids":["https://orcid.org/0000-0001-6924-4079"]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Wang","raw_affiliation_strings":["Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, China","School of Informatics, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024542162","display_name":"Liangying Shao","orcid":"https://orcid.org/0000-0002-2230-9952","observed_orcids":["https://orcid.org/0000-0002-2230-9952"]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangying Shao","raw_affiliation_strings":["School of Informatics, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114054934","display_name":"Xuling Zheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuling Zheng","raw_affiliation_strings":["Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, China","School of Informatics, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456894","display_name":"Xiaoli Wang","orcid":"https://orcid.org/0000-0001-9336-1013","observed_orcids":["https://orcid.org/0000-0001-9336-1013"]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Wang","raw_affiliation_strings":["School of Informatics, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066326238","display_name":"Jinsong Su","orcid":"https://orcid.org/0000-0001-5606-7122","observed_orcids":["https://orcid.org/0000-0001-5606-7122"]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Su","raw_affiliation_strings":["Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, China","School of Informatics, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":1.2152,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83950466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5358","last_page":"5370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8705999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.8705999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.03750000149011612,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.029899999499320984,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/error-propagation","display_name":"error propagation","score":0.8009999990463257},{"id":"https://openalex.org/keywords/bipartite-matching","display_name":"bipartite matching","score":0.8550000190734863}],"concepts":[{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.792671799659729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252272963523865},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.7016304135322571},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6929596066474915},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6821784973144531},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6104711294174194},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6077022552490234},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5860525965690613},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45241639018058777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4078678786754608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36368241906166077},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35292911529541016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23601222038269043},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.10562556982040405},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1027965247631073},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07360675930976868},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2023.findings-acl.330","doi":"https://doi.org/10.18653/v1/2023.findings-acl.330","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-acl.330","pdf_url":"https://aclanthology.org/2023.findings-acl.330.pdf","source":{"id":"https://openalex.org/S4363605144","display_name":"Findings of the Association for Computational Linguistics: ACL (Findings of ACL)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2023","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2306.00137","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.00137","pdf_url":"https://arxiv.org/pdf/2306.00137","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2306.00137","doi":"https://doi.org/10.48550/arxiv.2306.00137","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2306.00137","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.findings-acl.330","doi":"https://doi.org/10.18653/v1/2023.findings-acl.330","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-acl.330","pdf_url":"https://aclanthology.org/2023.findings-acl.330.pdf","source":{"id":"https://openalex.org/S4363605144","display_name":"Findings of the Association for Computational Linguistics: ACL (Findings of ACL)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G8535310050","display_name":null,"funder_award_id":"62276219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8860667405","display_name":null,"funder_award_id":"2020J06001","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385570069.pdf","grobid_xml":"https://content.openalex.org/works/W4385570069.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2102865756","https://openalex.org/W2523790121","https://openalex.org/W2626778328","https://openalex.org/W2732004306","https://openalex.org/W2739046565","https://openalex.org/W2786660442","https://openalex.org/W2789028076","https://openalex.org/W2798734500","https://openalex.org/W2834342720","https://openalex.org/W2963091079","https://openalex.org/W2963341956","https://openalex.org/W2971452554","https://openalex.org/W2982399380","https://openalex.org/W2997876626","https://openalex.org/W2998353611","https://openalex.org/W3022814719","https://openalex.org/W3030520226","https://openalex.org/W3034556525","https://openalex.org/W3052051278","https://openalex.org/W3121525843","https://openalex.org/W3156470785","https://openalex.org/W3170759063","https://openalex.org/W3173799534","https://openalex.org/W3174945605","https://openalex.org/W3175225269","https://openalex.org/W3187731984","https://openalex.org/W3198523333","https://openalex.org/W4221166835","https://openalex.org/W4234473045","https://openalex.org/W4292692470","https://openalex.org/W4385574237"],"related_works":["https://openalex.org/W2898134908","https://openalex.org/W4411630013","https://openalex.org/W3190685877","https://openalex.org/W4393119099","https://openalex.org/W6884304853","https://openalex.org/W2914735026","https://openalex.org/W4366462187","https://openalex.org/W4388551911","https://openalex.org/W3116342879","https://openalex.org/W4386973029"],"abstract_inverted_index":{"Recently,":[0],"the":[1,16,56,70,75,82,99,121,140,144,147,178,203,207,224],"text-to-table":[2,111],"generation":[3,29,100,112],"task":[4,25,30],"has":[5],"attracted":[6],"increasing":[7],"attention":[8],"due":[9],"to":[10,97,116,133,165,175],"its":[11],"wide":[12],"applications.In":[13],"this":[14,24,89],"aspect,":[15],"dominant":[17],"model":[18,83,125,221],"(Wu":[19],"et":[20],"al.,":[21],"2022)":[22],"formalizes":[23],"as":[26],"a":[27,36,46,60,85,94,108,117,129,136,154,167,197],"sequence-to-sequence":[28],"and":[31,162,191,215],"serializes":[32],"each":[33,186],"table":[34,130,137,155,170,188,212],"into":[35],"token":[37,87],"sequence":[38,150],"during":[39,63,193],"training":[40],"by":[41],"concatenating":[42],"all":[43],"rows":[44,103,172,214],"in":[45,69,114,146,173],"topdown":[47],"order.However,":[48],"it":[49],"suffers":[50],"from":[51],"two":[52],"serious":[53,80],"defects:":[54],"1)":[55],"predefined":[57],"order":[58,71],"introduces":[59],"wrong":[61],"bias":[62],"training,":[64,194],"which":[65],"highly":[66],"penalizes":[67],"shifts":[68],"between":[72,185,206],"rows;":[73],"2)":[74],"error":[76],"propagation":[77],"problem":[78],"becomes":[79],"when":[81],"outputs":[84],"long":[86],"sequence.In":[88],"paper,":[90],"we":[91,106,152,195],"first":[92,134,141,208],"conduct":[93],"preliminary":[95],"study":[96],"demonstrate":[98],"of":[101,143,149,169,210],"most":[102],"is":[104,126,182],"order-insensitive.Furthermore,":[105],"propose":[107,196],"novel":[109],"sequence-to-sequence&set":[110],"model.Specifically,":[113],"addition":[115],"text":[118],"encoder":[119],"encoding":[120],"input":[122],"text,":[123],"our":[124,220],"equipped":[127],"with":[128,158,177],"header":[131],"generator":[132,157],"output":[135],"header,":[138],"i.e.,":[139],"row":[142,160,190],"table,":[145],"manner":[148],"generation.Then":[151],"use":[153],"body":[156,171,189,213],"learnable":[159],"embeddings":[161,164],"column":[163],"generate":[166],"set":[168],"parallel.Particularly,":[174],"deal":[176],"issue":[179],"that":[180,219],"there":[181],"no":[183],"correspondence":[184],"generated":[187,211],"target":[192,198],"assignment":[199],"strategy":[200],"based":[201],"on":[202,229],"bipartite":[204],"matching":[205],"cells":[209],"targets.Experiment":[216],"results":[217],"show":[218],"significantly":[222],"surpasses":[223],"baselines,":[225],"achieving":[226],"state-of-the-art":[227],"performance":[228],"commonlyused":[230],"datasets.1":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2023-08-05T00:00:00"}
