{"id":"https://openalex.org/W4306317757","doi":"https://doi.org/10.1145/3511808.3557703","title":"SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher","display_name":"SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317757","doi":"https://doi.org/10.1145/3511808.3557703"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557703","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557703","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001548181","display_name":"Aibo Guo","orcid":"https://orcid.org/0000-0003-3896-7236"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aibo Guo","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370278","display_name":"Xinyi Li","orcid":"https://orcid.org/0000-0002-4346-066X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Li","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020754578","display_name":"Guanchen Xiao","orcid":"https://orcid.org/0000-0003-4395-6769"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanchen Xiao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060371329","display_name":"Zhen Tan","orcid":"https://orcid.org/0000-0001-8643-4683"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Tan","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014937762","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-6339-0219"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.8556,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87948059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3973","last_page":"3977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.9077982902526855},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.6183134913444519},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5307526588439941},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5168636441230774},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5011374950408936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4512762129306793},{"id":"https://openalex.org/keywords/data-definition-language","display_name":"Data definition language","score":0.43727362155914307},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4327583312988281},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4282378554344177},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3798734247684479},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3247450590133667},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11414274573326111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9077982902526855},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.6183134913444519},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5307526588439941},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5168636441230774},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5011374950408936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4512762129306793},{"id":"https://openalex.org/C55596503","wikidata":"https://www.wikidata.org/wiki/Q1431648","display_name":"Data definition language","level":3,"score":0.43727362155914307},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4327583312988281},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4282378554344177},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3798734247684479},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3247450590133667},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11414274573326111}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557703","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557703","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2890431379","https://openalex.org/W2963794306","https://openalex.org/W3034835156","https://openalex.org/W3175488485","https://openalex.org/W3198067439"],"related_works":["https://openalex.org/W1592149428","https://openalex.org/W650213220","https://openalex.org/W1980548249","https://openalex.org/W3092022493","https://openalex.org/W2183714398","https://openalex.org/W2042813897","https://openalex.org/W2340883001","https://openalex.org/W4382050951","https://openalex.org/W2079321164","https://openalex.org/W1554917839"],"abstract_inverted_index":{"The":[0,76,178,197],"Neo4j":[1,48],"query":[2],"language":[3,31,55],"Cypher":[4,34,60],"enables":[5],"efficient":[6],"querying":[7],"for":[8,94,101,140,183,188],"graphs":[9],"and":[10,57,91,113,132,155,171],"has":[11],"become":[12],"the":[13,40,58,81,102,127,130,141,168,175,193],"most":[14],"popular":[15],"graph":[16,49,122],"database":[17],"language.":[18],"Due":[19],"to":[20,26,33,86,120,126,157,160],"its":[21],"complexities,":[22],"semantic":[23,72],"parsing":[24,73],"(similar":[25],"Text-to-SQL)":[27],"that":[28,191],"translates":[29],"natural":[30,54],"queries":[32,56,61],"becomes":[35],"highly":[36],"desirable.":[37],"We":[38,162],"propose":[39,163],"first":[41],"Text-to-CQL":[42,77],"dataset,":[43,67],"SpCQL,":[44],"which":[45,97,137],"contains":[46],"one":[47],"database,":[50],"10,000":[51],"manually":[52],"annotated":[53],"matching":[59],"(CQL).":[62],"Correspondingly,":[63],"based":[64,166],"on":[65,167,174],"this":[66,152],"we":[68],"define":[69],"a":[70],"new":[71,153],"task":[74,78,84,154],"Text-to-CQL.":[75],"differs":[79],"from":[80],"traditional":[82],"Text-to-SQL":[83,108,143,146],"due":[85,125],"CQL":[87],"being":[88],"more":[89],"flexible":[90],"versatile,":[92],"especially":[93],"schema":[95,112],"queries,":[96],"brings":[98],"precedented":[99],"challenges":[100],"translation":[103],"process.":[104],"Although":[105],"current":[106],"SOTA":[107],"models":[109,147],"utilize":[110],"SQL":[111],"contents,":[114],"they":[115],"do":[116],"not":[117],"scale":[118],"up":[119],"large-scale":[121],"databases.":[123],"Besides,":[124],"absence":[128],"of":[129,195],"primary":[131],"foreign":[133],"keys":[134],"in":[135,151],"Cypher,":[136],"are":[138,148],"essential":[139],"multi-table":[142],"task,":[144],"existing":[145,184],"rendered":[149],"ineffective":[150],"have":[156],"be":[158],"adapted":[159],"work.":[161],"three":[164],"baselines":[165],"Seq2Seq":[169],"framework":[170],"conduct":[172],"experiments":[173,179],"SpCQL":[176],"dataset.":[177],"yield":[180],"undesirable":[181],"results":[182],"models,":[185],"hence":[186],"pressing":[187],"subsequent":[189],"research":[190],"considers":[192],"characteristics":[194],"SQL.":[196],"dataset":[198],"is":[199],"available":[200],"at":[201],"https://github.com/Guoaibo/Text-to-CQL.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}