{"id":"https://openalex.org/W4379794131","doi":"https://doi.org/10.1109/mis.2023.3283909","title":"New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training","display_name":"New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training","publication_year":2023,"publication_date":"2023-06-08","ids":{"openalex":"https://openalex.org/W4379794131","doi":"https://doi.org/10.1109/mis.2023.3283909"},"language":"en","primary_location":{"id":"doi:10.1109/mis.2023.3283909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2023.3283909","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Systems","raw_type":"journal-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/A5103204509","display_name":"Wenbin An","orcid":"https://orcid.org/0000-0003-0062-7201"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin An","raw_affiliation_strings":["Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-0062-7201","affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013725152","display_name":"Feng Tian","orcid":"https://orcid.org/0000-0001-7888-0587"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Tian","raw_affiliation_strings":["Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-7888-0587","affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400329","display_name":"Ping Chen","orcid":"https://orcid.org/0000-0003-3789-7686"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping Chen","raw_affiliation_strings":["University of Massachusetts Boston, Dorchester, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3789-7686","affiliations":[{"raw_affiliation_string":"University of Massachusetts Boston, Dorchester, MA, USA","institution_ids":["https://openalex.org/I33434090"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qinghua Zheng","orcid":"https://orcid.org/0000-0001-7168-1120"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Zheng","raw_affiliation_strings":["Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-7168-1120","affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088432110","display_name":"Wei Ding","orcid":"https://orcid.org/0000-0002-3383-551X"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Ding","raw_affiliation_strings":["University of Massachusetts Boston, Dorchester, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3383-551X","affiliations":[{"raw_affiliation_string":"University of Massachusetts Boston, Dorchester, MA, USA","institution_ids":["https://openalex.org/I33434090"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1001,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89510594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"38","issue":"4","first_page":"21","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T12031","display_name":"Speech and dialogue systems","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9987999796867371,"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":0.8636674880981445},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5912918448448181},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5724912285804749},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.567797839641571},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5604326128959656},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5485806465148926},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5410624146461487},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5264131426811218},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.45748841762542725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43884533643722534},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4187445044517517},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4134385287761688},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3821614980697632},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3756304383277893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8636674880981445},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5912918448448181},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5724912285804749},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.567797839641571},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5604326128959656},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5485806465148926},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5410624146461487},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5264131426811218},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.45748841762542725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43884533643722534},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4187445044517517},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4134385287761688},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3821614980697632},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3756304383277893},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mis.2023.3283909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2023.3283909","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2769032636","display_name":null,"funder_award_id":"61877048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4283126175","display_name":null,"funder_award_id":"62277042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4896784468","display_name":null,"funder_award_id":"62137002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6387986177","display_name":null,"funder_award_id":"61721002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7695114569","display_name":null,"funder_award_id":"2020AAA0108800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7758118313","display_name":"\u591a\u7a7a\u95f4\u878d\u5408\u4e0b\u7684\u5927\u5b66\u751f\u4e2a\u6027\u5316\u5b66\u4e60\u4e0e\u667a\u80fd\u6559\u80b2\u670d\u52a1\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61937001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G833875181","display_name":null,"funder_award_id":"62177038","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/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":25,"referenced_works":["https://openalex.org/W2251410829","https://openalex.org/W2407905223","https://openalex.org/W2769159728","https://openalex.org/W2883725317","https://openalex.org/W2963160702","https://openalex.org/W2964071174","https://openalex.org/W2970200208","https://openalex.org/W2986193249","https://openalex.org/W2995852213","https://openalex.org/W2998721586","https://openalex.org/W3034576826","https://openalex.org/W3045492832","https://openalex.org/W3112240880","https://openalex.org/W3156636935","https://openalex.org/W3167376363","https://openalex.org/W3199907694","https://openalex.org/W4281719801","https://openalex.org/W4283817880","https://openalex.org/W4382202733","https://openalex.org/W4385572858","https://openalex.org/W6745901624","https://openalex.org/W6758632346","https://openalex.org/W6771395016","https://openalex.org/W6784413092","https://openalex.org/W6846912041"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2748574964","https://openalex.org/W2083665254","https://openalex.org/W2393816671","https://openalex.org/W1534720161","https://openalex.org/W2804957450","https://openalex.org/W2942177010"],"abstract_inverted_index":{"Discovering":[0],"new":[1,32,59],"user":[2],"intents":[3,7,33,74],"based":[4],"on":[5,110],"existing":[6,57,73],"from":[8,72],"constantly":[9],"incoming":[10],"unlabeled":[11],"data":[12,30,130],"is":[13,75,119],"an":[14],"important":[15],"task":[16],"in":[17,22],"many":[18],"intelligent":[19],"systems":[20],"deployed":[21],"the":[23,97],"real":[24],"world":[25],"(e.g.,":[26],"dialogue":[27],"systems).":[28],"Since":[29],"with":[31],"are":[34,67,131],"completely":[35],"unlabeled,":[36],"most":[37],"current":[38],"approaches":[39],"employ":[40],"clustering":[41],"methods":[42],"to":[43,47,53,95],"generate":[44],"pseudo":[45,61,87,99],"labels":[46,62,100],"train":[48],"their":[49],"models.":[50],"However,":[51],"due":[52],"intent":[54,112],"gaps":[55],"between":[56],"and":[58,69,90,101,122,129],"intents,":[60],"generated":[63],"by":[64],"these":[65,81],"models":[66],"noisy,":[68],"prior":[70,106],"knowledge":[71],"not":[76],"fully":[77],"utilized.":[78],"To":[79],"mitigate":[80],"issues,":[82],"we":[83],"propose":[84],"a":[85],"robust":[86,123],"label":[88],"training":[89],"source":[91],"domain":[92],"joint-training":[93],"network":[94],"refine":[96],"noisy":[98],"make":[102],"full":[103],"use":[104],"of":[105],"knowledge.":[107],"Experimental":[108],"results":[109],"three":[111],"detection":[113],"datasets":[114],"show":[115],"that":[116],"our":[117],"model":[118],"more":[120],"effective":[121],"than":[124],"state-of-the-art":[125],"methods.":[126],"The":[127],"code":[128],"released":[132],"at":[133],"https://github.com/Lackel/PTJN.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}