{"id":"https://openalex.org/W4389077501","doi":"https://doi.org/10.1109/icmlc58545.2023.10327960","title":"Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL","display_name":"Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL","publication_year":2023,"publication_date":"2023-07-09","ids":{"openalex":"https://openalex.org/W4389077501","doi":"https://doi.org/10.1109/icmlc58545.2023.10327960"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc58545.2023.10327960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc58545.2023.10327960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5101272048","display_name":"Cheng Guangyu","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guang-Yu Cheng","raw_affiliation_strings":["Henan Institutes of Advanced Technology, Zhengzhou University,Zhengzhou,P.R. China,450052"],"affiliations":[{"raw_affiliation_string":"Henan Institutes of Advanced Technology, Zhengzhou University,Zhengzhou,P.R. China,450052","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101733891","display_name":"Shuo Yu","orcid":"https://orcid.org/0000-0002-5973-7141"},"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Yu","raw_affiliation_strings":["Institute of Computing Technology, CAS,Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS),Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS,Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS),Beijing,China,100190","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101900435","display_name":"Wenbin Jiang","orcid":"https://orcid.org/0000-0002-4063-8952"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Bin Jiang","raw_affiliation_strings":["Baidu inc,Beijing,China","Baidu inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu inc,Beijing,China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu inc, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006980420","display_name":"Shuai Ma","orcid":"https://orcid.org/0000-0002-4050-0443"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Ma","raw_affiliation_strings":["Henan Institutes of Advanced Technology, Zhengzhou University,Zhengzhou,P.R. China,450052"],"affiliations":[{"raw_affiliation_string":"Henan Institutes of Advanced Technology, Zhengzhou University,Zhengzhou,P.R. China,450052","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068007462","display_name":"Xiang Ao","orcid":"https://orcid.org/0000-0001-9633-8361"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"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 Ao","raw_affiliation_strings":["Institute of Computing Technology, CAS,Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS),Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS,Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS),Beijing,China,100190","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102191169","display_name":"Qing He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"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/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing He","raw_affiliation_strings":["Henan Institutes of Advanced Technology, Zhengzhou University,Zhengzhou,P.R. China,450052","Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Henan Institutes of Advanced Technology, Zhengzhou University,Zhengzhou,P.R. China,450052","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101272048"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15514211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"303","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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":0.9957000017166138,"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":0.8935236930847168},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.8316079378128052},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6679781675338745},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5959615707397461},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46188443899154663},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.40078049898147583},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38180556893348694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3800610303878784},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3209994435310364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8935236930847168},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.8316079378128052},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6679781675338745},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5959615707397461},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46188443899154663},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.40078049898147583},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38180556893348694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3800610303878784},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3209994435310364},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc58545.2023.10327960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc58545.2023.10327960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3944112631","display_name":null,"funder_award_id":"Z201100006820062","funder_id":"https://openalex.org/F4320332238","funder_display_name":"Center for Africana Studies, Johns Hopkins University"},{"id":"https://openalex.org/G6323554744","display_name":null,"funder_award_id":"61976204,31900979,U1811461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8347018021","display_name":null,"funder_award_id":"2022YFC3303302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332238","display_name":"Center for Africana Studies, Johns Hopkins University","ror":"https://ror.org/00za53h95"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2145618437","https://openalex.org/W2604314403","https://openalex.org/W2798405286","https://openalex.org/W2890431379","https://openalex.org/W2945102109","https://openalex.org/W2949215742","https://openalex.org/W2952032096","https://openalex.org/W2971323043","https://openalex.org/W3034835156","https://openalex.org/W3034999214","https://openalex.org/W3037109418","https://openalex.org/W3103801878","https://openalex.org/W3116083993","https://openalex.org/W3126918322","https://openalex.org/W3175488485","https://openalex.org/W3208581766","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6780226713","https://openalex.org/W6783935634","https://openalex.org/W6803081274"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"The":[0],"text-to-SQL":[1,28,134,143],"task":[2],"is":[3,112],"a":[4,91,108],"realistic":[5],"and":[6,137],"challenging":[7],"job,":[8],"which":[9],"aims":[10],"to":[11,22,37,71,114,164],"translate":[12],"natural":[13],"language":[14],"questions":[15],"into":[16],"corresponding":[17],"SQL":[18,24,51,101],"queries.":[19],"When":[20],"attempting":[21],"generate":[23,38],"queries":[25,102],"in":[26,55,152],"the":[27,49,56,62,66,73,96,116,141,155,159],"task,":[29],"prevailing":[30],"semantic":[31,81],"parsing":[32,82],"models":[33,83],"employ":[34],"beam":[35],"search":[36],"several":[39,77],"candidates.":[40],"Based":[41],"on":[42,140,154],"our":[43,148],"pilot":[44],"study,":[45],"we":[46,69,89],"observe":[47],"that":[48,94,147],"gold-standard":[50],"answer":[52,75],"may":[53],"exist":[54],"n-best":[57,97],"candidate":[58,100],"list":[59,98],"produced":[60],"by":[61,80,103,162],"decoder,":[63],"rather":[64],"than":[65],"first.":[67],"Hence,":[68],"aim":[70],"lift":[72],"correct":[74],"given":[76],"candidates":[78,122],"generated":[79],"for":[84,120],"text-to-SQL.":[85],"To":[86],"this":[87],"end,":[88],"propose":[90],"reranking":[92],"module":[93,111],"reorders":[95],"of":[99],"pair-wise":[104],"hinge":[105],"loss.":[106],"Meanwhile,":[107],"data":[109],"augmentation":[110],"leveraged":[113],"enrich":[115],"inadequate":[117],"training":[118],"instances":[119],"providing":[121],"with":[123],"better":[124],"qualities.":[125],"These":[126],"two":[127],"modules":[128],"can":[129],"be":[130],"easily":[131],"grafted":[132],"onto":[133],"backbone":[135],"networks,":[136],"extensive":[138],"experiments":[139],"cross-domain":[142],"benchmark":[144],"Spider":[145,156],"demonstrate":[146],"method":[149],"achieves":[150],"73.8%":[151],"accuracy":[153],"dataset,":[157],"surpassing":[158],"base":[160],"model":[161],"up":[163],"3.5%.":[165]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}