{"id":"https://openalex.org/W4295751932","doi":"https://doi.org/10.1109/tnnls.2022.3202562","title":"A Two-Stage Selective Fusion Framework for Joint Intent Detection and Slot Filling","display_name":"A Two-Stage Selective Fusion Framework for Joint Intent Detection and Slot Filling","publication_year":2022,"publication_date":"2022-09-14","ids":{"openalex":"https://openalex.org/W4295751932","doi":"https://doi.org/10.1109/tnnls.2022.3202562","pmid":"https://pubmed.ncbi.nlm.nih.gov/36103436"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3202562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3202562","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5016070961","display_name":"Ziyu Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Ma","raw_affiliation_strings":["College of Electrical and Information Engineering and the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641761","display_name":"Bin Sun","orcid":"https://orcid.org/0000-0002-7029-8784"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Sun","raw_affiliation_strings":["College of Electrical and Information Engineering and the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7029-8784","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering and the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":2.0994,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88932319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"35","issue":"3","first_page":"3874","last_page":"3885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9976999759674072,"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/stage","display_name":"Stage (stratigraphy)","score":0.6960852146148682},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6950548887252808},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6066340804100037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49292898178100586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3624112904071808},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17874887585639954},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1742365062236786},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.07746365666389465}],"concepts":[{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.6960852146148682},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6950548887252808},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6066340804100037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49292898178100586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3624112904071808},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17874887585639954},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1742365062236786},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.07746365666389465},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3202562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3202562","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:36103436","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36103436","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G5561626794","display_name":null,"funder_award_id":"2022JJ20017","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G7579875074","display_name":null,"funder_award_id":"62171183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8651560819","display_name":null,"funder_award_id":"2018YFB1305200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1550863320","https://openalex.org/W1902237438","https://openalex.org/W1971034924","https://openalex.org/W2024632416","https://openalex.org/W2053463056","https://openalex.org/W2064675550","https://openalex.org/W2076440176","https://openalex.org/W2094472029","https://openalex.org/W2108366050","https://openalex.org/W2150859660","https://openalex.org/W2153962611","https://openalex.org/W2166293310","https://openalex.org/W2171144711","https://openalex.org/W2265846598","https://openalex.org/W2395389931","https://openalex.org/W2399456070","https://openalex.org/W2400801499","https://openalex.org/W2405622356","https://openalex.org/W2464790259","https://openalex.org/W2473329891","https://openalex.org/W2551571666","https://openalex.org/W2770705125","https://openalex.org/W2803392141","https://openalex.org/W2804945011","https://openalex.org/W2889364221","https://openalex.org/W2891533927","https://openalex.org/W2946085385","https://openalex.org/W2962723475","https://openalex.org/W2962775474","https://openalex.org/W2963033987","https://openalex.org/W2963066655","https://openalex.org/W2963430933","https://openalex.org/W2963974889","https://openalex.org/W2971167298","https://openalex.org/W2972497843","https://openalex.org/W2997003477","https://openalex.org/W3018202776","https://openalex.org/W3031696893","https://openalex.org/W3104395172","https://openalex.org/W4385245566","https://openalex.org/W6732187701","https://openalex.org/W6751425476","https://openalex.org/W6751431506","https://openalex.org/W6755207826","https://openalex.org/W6759393636","https://openalex.org/W6763070779","https://openalex.org/W6786649734"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Spoken":[0],"language":[1],"understanding":[2],"(SLU)":[3],"is":[4,174,185],"the":[5,8,27,31,39,50,57,59,63,75,81,96,100,120,124,128,135,158,163,167,170,178,189,215,219],"core":[6],"of":[7,30,43,62,77,99,146,162],"speech-centric":[9],"human-robot":[10],"interaction":[11,98,191],"system,":[12],"which":[13],"mainly":[14],"involves":[15],"intent":[16,65,114],"detection":[17,115],"and":[18,46,116,138,148,211],"slot":[19,40,44,47,51,60,84,92,117,129,136,139,142,159,179,194],"filling.":[20,118],"The":[21,141],"recent":[22],"SLU":[23],"research":[24],"focuses":[25],"on":[26,202],"joint":[28,101,113],"modeling":[29],"two":[32,132],"tasks":[33],"due":[34,73],"to":[35,56,74,187],"their":[36],"correlation.":[37],"Furthermore,":[38],"information":[41,90],"consists":[42],"position":[45,93],"type.":[48],"Although":[49],"types":[52],"are":[53],"semantically":[54],"related":[55],"intent,":[58],"positions":[61],"same":[64],"may":[66,87],"vary":[67],"a":[68,106],"lot":[69],"in":[70,95,166,177,222],"different":[71],"utterances":[72],"diversity":[76],"spoken":[78],"language.":[79],"Thus,":[80],"conventional":[82],"one-stage":[83,122],"filling":[85,130],"task":[86],"introduce":[88],"unrelated":[89],"for":[91,112,196],"prediction":[94],"slot-intent":[97,171,190],"modeling.":[102],"Therefore,":[103],"we":[104],"propose":[105],"novel":[107],"two-stage":[108],"selective":[109,182],"fusion":[110,165,173,183],"framework":[111,126,217],"Unlike":[119],"previous":[121],"framework,":[123],"proposed":[125,216],"decomposes":[127],"into":[131],"stages,":[133],"i.e.,":[134],"proposal":[137,143],"classification.":[140,180,200],"network":[144],"consisting":[145],"BERT":[147],"bidirectional":[149],"long":[150],"short-term":[151],"memory":[152],"(Bi-LSTM)-conditional":[153],"random":[154],"field":[155],"(CRF)":[156],"predicts":[157],"positions.":[160],"Instead":[161],"tokenwise":[164],"existing":[168],"methods,":[169],"feature":[172],"only":[175],"performed":[176],"A":[181],"mechanism":[184],"designed":[186],"facilitate":[188],"within":[192],"each":[193],"candidate":[195],"more":[197],"accurate":[198],"slot-type":[199],"Experiments":[201],"five":[203],"standard":[204],"benchmarks":[205],"(i.e.,":[206],"ATIS,":[207],"SNIPS,":[208],"MixATIS,":[209],"MixSNIPS,":[210],"DSTC4)":[212],"show":[213],"that":[214],"achieves":[218],"best":[220],"performance":[221],"comparison":[223],"with":[224],"several":[225],"state-of-the-art":[226],"methods.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
