{"id":"https://openalex.org/W4399418478","doi":"https://doi.org/10.1145/3651671.3651759","title":"QuDial: A Quadruple-driven Dialogue System for Real Estate Consulting Services","display_name":"QuDial: A Quadruple-driven Dialogue System for Real Estate Consulting Services","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4399418478","doi":"https://doi.org/10.1145/3651671.3651759"},"language":"en","primary_location":{"id":"doi:10.1145/3651671.3651759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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/A5101585896","display_name":"Shuling Yang","orcid":"https://orcid.org/0009-0002-2384-6693"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuling Yang","raw_affiliation_strings":["School of Data Science, University of Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0009-0002-2384-6693","affiliations":[{"raw_affiliation_string":"School of Data Science, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033389182","display_name":"Hanzhu Chen","orcid":"https://orcid.org/0009-0005-4314-2599"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzhu Chen","raw_affiliation_strings":["School of Data Science, University of Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0009-0005-4314-2599","affiliations":[{"raw_affiliation_string":"School of Data Science, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099043584","display_name":"Binbin Fang","orcid":"https://orcid.org/0009-0007-5179-8250"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Fang","raw_affiliation_strings":["School of Data Science, University of Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0009-0007-5179-8250","affiliations":[{"raw_affiliation_string":"School of Data Science, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101585896"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06230886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"609","last_page":"615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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/T12031","display_name":"Speech and dialogue systems","score":0.9997000098228455,"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":0.998199999332428,"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":0.8351695537567139},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6971510052680969},{"id":"https://openalex.org/keywords/real-estate","display_name":"Real estate","score":0.5914483666419983},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.5880246758460999},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5674909949302673},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5598752498626709},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49700286984443665},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4860735237598419},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48493674397468567},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4527105391025543},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44571423530578613},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.43267521262168884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42739230394363403},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17127090692520142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8351695537567139},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6971510052680969},{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.5914483666419983},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.5880246758460999},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5674909949302673},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5598752498626709},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49700286984443665},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4860735237598419},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48493674397468567},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4527105391025543},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44571423530578613},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.43267521262168884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42739230394363403},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17127090692520142},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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:10.1145/3651671.3651759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2604580630","https://openalex.org/W2747329762","https://openalex.org/W2798914047","https://openalex.org/W2964006684","https://openalex.org/W3034573951","https://openalex.org/W3034782127","https://openalex.org/W3100110884","https://openalex.org/W3135638847","https://openalex.org/W3184055159","https://openalex.org/W3198310612","https://openalex.org/W3207133764","https://openalex.org/W4285138657","https://openalex.org/W4309674289","https://openalex.org/W4382246105","https://openalex.org/W4386290290","https://openalex.org/W4389009440","https://openalex.org/W6600424091"],"related_works":["https://openalex.org/W2293063786","https://openalex.org/W2911292476","https://openalex.org/W2367925007","https://openalex.org/W4288263119","https://openalex.org/W3015724364","https://openalex.org/W2967994095","https://openalex.org/W4285240985","https://openalex.org/W2900126711","https://openalex.org/W4286930972","https://openalex.org/W3202115945"],"abstract_inverted_index":{"Establishing":[0],"connections":[1],"with":[2,32,84,174],"users":[3],"is":[4],"a":[5,20,29,69,81,100,128],"critical":[6],"task":[7],"for":[8,158],"brokers":[9],"in":[10,38,48,139],"real":[11,49,162],"estate":[12,50,163],"consulting":[13],"dialogues":[14],"and":[15,57,87,116],"can":[16],"be":[17],"assisted":[18],"by":[19],"task-oriented":[21,25],"dialogue":[22,105,126,136],"system.":[23],"Existing":[24],"systems":[26,43],"typically":[27],"follow":[28],"pipeline":[30],"structure":[31],"four":[33],"subtasks,":[34],"achieving":[35],"great":[36],"success":[37],"many":[39],"domains.":[40],"However,":[41],"these":[42],"confront":[44],"expensive":[45],"development":[46],"costs":[47,90],"domain,":[51],"as":[52],"they":[53],"require":[54],"multiple":[55,58],"subtasks":[56,86],"types":[59],"of":[60,73,109,135],"data":[61,89],"labels.":[62],"To":[63],"tackle":[64],"this":[65],"problem,":[66],"we":[67,97,123,141],"introduce":[68],"novel":[70],"semantic":[71],"frame":[72],"quadruples":[74],"{(action,":[75],"subject,":[76],"predicate,":[77],"object)},":[78],"to":[79,147],"build":[80],"simplified":[82],"system":[83,106],"fewer":[85],"lower":[88],"than":[91],"existing":[92],"methods.":[93],"Based":[94],"on":[95,161],"this,":[96],"propose":[98],"QuDial,":[99],"simple":[101,177],"yet":[102],"effective":[103],"quadruple-driven":[104],"that":[107,167],"consists":[108],"two":[110,176],"subtasks:":[111],"Natural":[112],"Language":[113],"Understanding":[114],"(NLU)":[115],"Dialogue":[117],"Policy":[118],"Learning":[119],"(DPL).":[120],"In":[121],"NLU,":[122],"parse":[124],"each":[125],"into":[127],"quadruple":[129,145],"sequence,":[130],"which":[131,152],"captures":[132],"the":[133,143,149,154,171],"evolution":[134],"contents.":[137],"Then,":[138],"DPL,":[140],"encode":[142],"historical":[144],"sequence":[146],"predict":[148],"next":[150],"quadruple,":[151],"provides":[153],"main":[155],"response":[156,172],"content":[157],"brokers.":[159],"Experiments":[160],"business":[164],"domain":[165],"demonstrate":[166],"QuDial":[168],"effectively":[169],"improves":[170],"predictions":[173],"its":[175],"subtasks.":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}