{"id":"https://openalex.org/W3091121460","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206700","title":"GuideSQL: Utilizing Tables to Guide the Prediction of Columns for Text-to-SQL Generation","display_name":"GuideSQL: Utilizing Tables to Guide the Prediction of Columns for Text-to-SQL Generation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3091121460","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206700","mag":"3091121460"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5040335415","display_name":"Huajie Wang","orcid":"https://orcid.org/0000-0002-6173-672X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajie Wang","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755955","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0003-3068-1583"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China","Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745807","display_name":"Li Mei","orcid":"https://orcid.org/0009-0007-8023-1210"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Li","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019092473","display_name":"Mengnan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengnan Chen","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.1354,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56653794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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/T10260","display_name":"Software Engineering Research","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8743369579315186},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.7557176351547241},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.549877405166626},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5433460474014282},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.536952018737793},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.506574273109436},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.48896658420562744},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45730310678482056},{"id":"https://openalex.org/keywords/stored-procedure","display_name":"Stored procedure","score":0.4393717050552368},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43047887086868286},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42245739698410034},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.41993623971939087},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37613022327423096},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3710947632789612},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2560989260673523},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.12172794342041016},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.11283627152442932},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07453420758247375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8743369579315186},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.7557176351547241},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.549877405166626},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5433460474014282},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.536952018737793},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.506574273109436},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.48896658420562744},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45730310678482056},{"id":"https://openalex.org/C154420247","wikidata":"https://www.wikidata.org/wiki/Q846619","display_name":"Stored procedure","level":5,"score":0.4393717050552368},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43047887086868286},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42245739698410034},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.41993623971939087},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37613022327423096},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3710947632789612},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2560989260673523},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.12172794342041016},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.11283627152442932},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07453420758247375},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W92438583","https://openalex.org/W1522301498","https://openalex.org/W1902237438","https://openalex.org/W2064675550","https://openalex.org/W2077302143","https://openalex.org/W2133564696","https://openalex.org/W2145618437","https://openalex.org/W2164155814","https://openalex.org/W2165382777","https://openalex.org/W2250539671","https://openalex.org/W2269738476","https://openalex.org/W2626990892","https://openalex.org/W2751448157","https://openalex.org/W2762513422","https://openalex.org/W2768409085","https://openalex.org/W2890431379","https://openalex.org/W2891691255","https://openalex.org/W2896457183","https://openalex.org/W2912624765","https://openalex.org/W2945102109","https://openalex.org/W2952032096","https://openalex.org/W2962713807","https://openalex.org/W2963341956","https://openalex.org/W2963357517","https://openalex.org/W2963477458","https://openalex.org/W2963868320","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W2970002529","https://openalex.org/W2970172141","https://openalex.org/W2970971581","https://openalex.org/W2971323043","https://openalex.org/W4288601872","https://openalex.org/W4295312788","https://openalex.org/W6631190155","https://openalex.org/W6679434410","https://openalex.org/W6684081719","https://openalex.org/W6743367031","https://openalex.org/W6745921949","https://openalex.org/W6755207826","https://openalex.org/W6758814090","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2108932068","https://openalex.org/W151494989","https://openalex.org/W2614112517","https://openalex.org/W1980548249","https://openalex.org/W2340883001","https://openalex.org/W2512678083","https://openalex.org/W2038123353","https://openalex.org/W2086783690","https://openalex.org/W650213220","https://openalex.org/W2026893489"],"abstract_inverted_index":{"Text-to-SQL":[0],"is":[1,94],"a":[2,27,38,80,90],"task":[3],"of":[4,13,22,58,66,119],"synthesizing":[5],"SQL":[6,23,76,120],"queries":[7,77],"from":[8],"utterances.":[9],"Most":[10],"existing":[11],"approaches":[12],"text-to-SQL":[14,107],"rarely":[15],"utilize":[16],"tables":[17,34,51,73],"to":[18,48,52,74,83,96,115],"guide":[19],"the":[20,43,49,63,70,85,98,105,134,152,156],"prediction":[21,64],"query.":[24],"We":[25],"present":[26],"novel":[28],"approach":[29],"called":[30],"GuideSQL":[31,122,140],"which":[32,45],"predicts":[33],"first":[35],"and":[36,78,102,128,146,165],"uses":[37],"pruning":[39],"algorithm":[40,82],"for":[41],"removing":[42],"columns":[44],"don't":[46],"belong":[47],"predicted":[50,72],"avoid":[53],"errors":[54,65],"caused":[55],"by":[56,160],"misprediction":[57],"table-column":[59],"dependencies.":[60],"For":[61],"reducing":[62],"tables,":[67],"we":[68,110],"use":[69,111],"top-K":[71],"generate":[75],"employ":[79],"string-matching":[81],"get":[84,116],"most":[86],"reasonable":[87],"one.":[88],"Furthermore,":[89],"type":[91],"linking":[92],"mechanism":[93],"utilized":[95],"augment":[97],"relevance":[99],"between":[100],"utterances":[101],"schemas.":[103],"On":[104],"challenging":[106],"benchmark":[108],"SParC,":[109],"previous":[112,157],"query":[113],"attention":[114],"context-dependent":[117],"information":[118],"queries.":[121],"obtains":[123],"36.3%":[124],"question":[125,143,162],"matching":[126,131,144,149,163,168],"accuracy":[127,132,145,150,164],"19.5%":[129],"interaction":[130,148,167],"on":[133,151],"dev":[135,153],"set.":[136],"With":[137],"BERT":[138],"augmentation,":[139],"achieves":[141],"49.2%":[142],"31.6%":[147],"set,":[154],"outperforms":[155],"state-of-the-art":[158],"model":[159],"2%":[161],"2.1%":[166],"accuracy.":[169]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}