{"id":"https://openalex.org/W4416036966","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.383","title":"SQLWOZ: A Realistic Task-Oriented Dialogue Dataset with SQL-Based Dialogue State Representation for Complex User Requirements","display_name":"SQLWOZ: A Realistic Task-Oriented Dialogue Dataset with SQL-Based Dialogue State Representation for Complex User Requirements","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416036966","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.383"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.emnlp-main.383","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.383","pdf_url":"https://aclanthology.org/2025.emnlp-main.383.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-main.383.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068101984","display_name":"Heng-Da Xu","orcid":"https://orcid.org/0000-0003-4083-5400"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Heng-Da Xu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048533046","display_name":"Xian-Ling Mao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xian-Ling Mao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074152196","display_name":"Fanshu Sun","orcid":"https://orcid.org/0000-0001-7969-855X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fanshu Sun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009736264","display_name":"Tian-Yi Che","orcid":"https://orcid.org/0000-0002-9383-4092"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian-Yi Che","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108984239","display_name":"Cheng-Xin Xin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng-Xin Xin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113891245","display_name":"Heyan Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heyan Huang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068101984"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17324823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7537","last_page":"7562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.8334000110626221,"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/T12031","display_name":"Speech and dialogue systems","score":0.8334000110626221,"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":0.07050000131130219,"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":0.009600000455975533,"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/state","display_name":"State (computer science)","score":0.5142999887466431},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5117999911308289},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.311599999666214},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2924000024795532},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.2720000147819519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6657999753952026},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5142999887466431},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5117999911308289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4269999861717224},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3296000063419342},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2921999990940094},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-main.383","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.383","pdf_url":"https://aclanthology.org/2025.emnlp-main.383.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-main.383","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.383","pdf_url":"https://aclanthology.org/2025.emnlp-main.383.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2563629645","display_name":null,"funder_award_id":"U21B2009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6095425281","display_name":null,"funder_award_id":"62276110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8878491478","display_name":null,"funder_award_id":"62172039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323110","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74"},{"id":"https://openalex.org/F4320327514","display_name":"Beijing Institute of Technology Research Fund Program for Young Scholars","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416036966.pdf","grobid_xml":"https://content.openalex.org/works/W4416036966.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"High-quality":[0],"datasets":[1,13],"are":[2],"essential":[3],"for":[4,87,166],"building":[5],"effective":[6],"task-oriented":[7],"dialogue":[8,33,119,132,141,144],"(TOD)":[9],"systems.The":[10],"existing":[11],"TOD":[12,67,149,168],"often":[14],"present":[15],"overly":[16],"simplified":[17],"interactions,":[18],"where":[19],"users":[20,49],"incrementally":[21],"express":[22,51],"straightforward":[23],"requests":[24],"that":[25],"can":[26],"be":[27],"managed":[28],"with":[29],"basic":[30],"slot-value":[31],"style":[32],"states,":[34],"such":[35],"as":[36,112,131,162],"\"hotel-area":[37],"=":[38],"east.\"However,":[39],"this":[40,57,60],"approach":[41],"does":[42],"not":[43],"reflect":[44],"reallife":[45],"scenarios":[46],"in":[47,59,78],"which":[48],"may":[50],"complex":[52],"constraints":[53],"and":[54,101,115,134,147,156],"preferences.To":[55],"address":[56],"gap,":[58],"paper,":[61],"we":[62,126],"propose":[63],"SQLWOZ,":[64,159],"a":[65,88,94,113,163],"novel":[66],"dataset":[68],"designed":[69],"to":[70],"capture":[71],"complex,":[72],"real-world":[73],"user":[74,76],"requirements.The":[75],"requirements":[77],"SQLWOZ":[79],"include":[80],"the":[81,124,139,154],"four":[82],"categories:":[83],"1)":[84],"multiple":[85],"values":[86,92,104],"slot,":[89,95],"2)":[90],"excluded":[91],"within":[93,121],"3)":[96],"preferred":[97],"or":[98],"prioritized":[99],"values,":[100],"4)":[102],"conditional":[103],"based":[105],"on":[106,138],"other":[107],"conditions.We":[108],"utilize":[109],"SQL":[110],"statements":[111],"formalized":[114],"expressive":[116],"representation":[117],"of":[118,158],"states":[120],"SQLWOZ.To":[122],"evaluate":[123],"dataset,":[125],"adapt":[127],"large":[128],"language":[129],"models":[130],"agents":[133],"conduct":[135],"extensive":[136],"experiments":[137],"SQL-based":[140],"state":[142],"tracking,":[143],"response":[145],"generation,":[146],"end-to-end":[148],"tasks.The":[150],"experimental":[151],"results":[152],"demonstrate":[153],"complexity":[155],"quality":[157],"establishing":[160],"it":[161],"new":[164],"benchmark":[165],"advancing":[167],"research.":[169]},"counts_by_year":[],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-11-08T00:00:00"}
