{"id":"https://openalex.org/W4401025309","doi":"https://doi.org/10.1145/3680286","title":"A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection","display_name":"A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection","publication_year":2024,"publication_date":"2024-07-26","ids":{"openalex":"https://openalex.org/W4401025309","doi":"https://doi.org/10.1145/3680286"},"language":"en","primary_location":{"id":"doi:10.1145/3680286","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680286","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680286","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3680286","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102360883","display_name":"Jiacheng Yang","orcid":"https://orcid.org/0000-0001-9060-100X"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Yang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China and Peng Cheng Laboratory, Shenzhen, China","Shenzhen International Graduate school, Tsinghua University, Shenzhen 518055, China and Peng Cheng Laboratory, Shenzhen 518038, China"],"raw_orcid":"https://orcid.org/0000-0001-9060-100X","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China and Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I3131625388"]},{"raw_affiliation_string":"Shenzhen International Graduate school, Tsinghua University, Shenzhen 518055, China and Peng Cheng Laboratory, Shenzhen 518038, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057834550","display_name":"Miaoxin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaoxin Chen","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","Shenzhen International Graduate school, Tsinghua University, Shenzhen 518055, China"],"raw_orcid":"https://orcid.org/0000-0003-3518-9555","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate school, Tsinghua University, Shenzhen 518055, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008909910","display_name":"Cao Liu","orcid":"https://orcid.org/0000-0001-7905-4404"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cao Liu","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7905-4404","affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769460","display_name":"Boqi Dai","orcid":"https://orcid.org/0009-0008-3796-2541"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boqi Dai","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","Shenzhen International Graduate school, Tsinghua University, Shenzhen 518055, China"],"raw_orcid":"https://orcid.org/0009-0008-3796-2541","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate school, Tsinghua University, Shenzhen 518055, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022672030","display_name":"Hai-Tao Zheng","orcid":"https://orcid.org/0000-0001-5128-5649"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-Tao Zheng","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China and Peng Cheng Laboratory, Shenzhen, China","Shenzhen International Graduate school, Tsinghua University, Shenzhen 518055, China and Peng Cheng Laboratory, Shenzhen 518038, China"],"raw_orcid":"https://orcid.org/0000-0001-5128-5649","affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China and Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I3131625388"]},{"raw_affiliation_string":"Shenzhen International Graduate school, Tsinghua University, Shenzhen 518055, China and Peng Cheng Laboratory, Shenzhen 518038, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731006","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0002-0499-727X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","Peng Cheng Laboratory, Shenzhen 518038, China"],"raw_orcid":"https://orcid.org/0000-0002-0499-727X","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen 518038, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101796552","display_name":"Rui Xie","orcid":"https://orcid.org/0000-0002-1116-7418"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Xie","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1116-7418","affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058110900","display_name":"Hong\u2010Gee Kim","orcid":"https://orcid.org/0000-0002-2610-4321"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hong-Gee Kim","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-2610-4321","affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9164,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7862973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"9","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9980999827384949,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9980999827384949,"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":0.9927999973297119,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.991100013256073,"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/utterance","display_name":"Utterance","score":0.8292223215103149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7649234533309937},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7400162220001221},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7097693681716919},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6301714181900024},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6154531240463257},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5258534550666809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49634820222854614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49281933903694153},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.4249686598777771},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3437303900718689},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11090511083602905},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09444326162338257}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.8292223215103149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649234533309937},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7400162220001221},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7097693681716919},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6301714181900024},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6154531240463257},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5258534550666809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49634820222854614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49281933903694153},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.4249686598777771},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3437303900718689},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11090511083602905},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09444326162338257},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3680286","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680286","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680286","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3680286","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680286","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680286","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4847807790","display_name":null,"funder_award_id":"62276154","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"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401025309.pdf"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W2094472029","https://openalex.org/W2102029756","https://openalex.org/W2106347453","https://openalex.org/W2337562570","https://openalex.org/W2405622356","https://openalex.org/W2464790259","https://openalex.org/W2750779823","https://openalex.org/W2804945011","https://openalex.org/W2867167548","https://openalex.org/W2891642103","https://openalex.org/W2901114541","https://openalex.org/W2912512851","https://openalex.org/W2946085385","https://openalex.org/W2952409498","https://openalex.org/W2963033987","https://openalex.org/W2963924212","https://openalex.org/W2964071174","https://openalex.org/W2964142373","https://openalex.org/W2970855255","https://openalex.org/W2970946347","https://openalex.org/W2971167298","https://openalex.org/W2990496952","https://openalex.org/W2997075693","https://openalex.org/W2997140799","https://openalex.org/W3014773921","https://openalex.org/W3035371495","https://openalex.org/W3045492832","https://openalex.org/W3091355780","https://openalex.org/W3091806974","https://openalex.org/W3092527263","https://openalex.org/W3098800734","https://openalex.org/W3102988845","https://openalex.org/W3121064530","https://openalex.org/W3159630167","https://openalex.org/W3165919849","https://openalex.org/W3170220135","https://openalex.org/W3173488222","https://openalex.org/W3173794693","https://openalex.org/W3174540647","https://openalex.org/W3175204457","https://openalex.org/W3175534941","https://openalex.org/W3176143090","https://openalex.org/W3204121251","https://openalex.org/W3208705495","https://openalex.org/W3211517345","https://openalex.org/W4210602569","https://openalex.org/W4220902914","https://openalex.org/W4285141652","https://openalex.org/W4287890458","https://openalex.org/W4303438082","https://openalex.org/W4307008434","https://openalex.org/W4311772362","https://openalex.org/W4312431055","https://openalex.org/W4319998010","https://openalex.org/W4365799947","https://openalex.org/W4375868795","https://openalex.org/W4379380529","https://openalex.org/W4385245566","https://openalex.org/W4385521786","https://openalex.org/W4385573743","https://openalex.org/W4387846800","https://openalex.org/W4388505307","https://openalex.org/W4389520437","https://openalex.org/W4393160936","https://openalex.org/W6739901393","https://openalex.org/W6762924995","https://openalex.org/W6784323503"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2333799855","https://openalex.org/W2351687372","https://openalex.org/W2004087835","https://openalex.org/W2314871050"],"abstract_inverted_index":{"Multi-label":[0],"unknown":[1,19,52],"intent":[2,30,44,92],"detection":[3],"is":[4,73],"a":[5,122],"challenging":[6],"task":[7],"where":[8],"each":[9],"utterance":[10,34,81,112],"may":[11],"contain":[12],"not":[13],"only":[14,80,110],"multiple":[15,77,117],"known":[16,43,91],"but":[17],"also":[18,120],"intents.":[20,118],"To":[21],"tackle":[22],"this":[23,61,100],"challenge,":[24],"pioneers":[25],"proposed":[26],"to":[27,46,75,96,104,114,126],"predict":[28],"the":[29,33,40,49,128,131,151],"number":[31,88],"of":[32,42],"first,":[35],"then":[36],"compare":[37],"it":[38],"with":[39],"results":[41,135],"matching":[45],"decide":[47],"whether":[48],"utterence":[50],"contains":[51],"intent(s).":[53],"Though":[54],"they":[55],"have":[56],"made":[57],"remarkable":[58],"progress":[59],"on":[60,136],"task,":[62],"their":[63],"methods":[64],"still":[65],"suffer":[66],"from":[67],"two":[68,85,132],"important":[69],"issues:":[70],"(1)":[71],"It":[72],"inadequate":[74],"extract":[76],"intents":[78],"using":[79],"encoding;":[82],"(2)":[83],"Optimizing":[84],"sub-tasks":[86],"(intent":[87],"prediction":[89,123],"and":[90,138,148],"matching)":[93],"independently":[94],"leads":[95],"inconsistent":[97],"predictions.":[98],"In":[99],"article,":[101],"we":[102],"propose":[103],"incorporate":[105],"segment":[106],"augmentation":[107],"rather":[108],"than":[109],"use":[111],"encoding":[113],"better":[115],"detect":[116],"We":[119],"design":[121],"consistency":[124],"module":[125],"bridge":[127],"gap":[129],"between":[130],"sub-tasks.":[133],"Empirical":[134],"MultiWOZ2.3":[137],"MixSNIPS":[139],"datasets":[140],"show":[141],"that":[142],"our":[143],"method":[144],"achieves":[145],"state-of-the-art":[146],"performance":[147],"significantly":[149],"improves":[150],"best":[152],"baseline.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}