{"id":"https://openalex.org/W3008915885","doi":"https://doi.org/10.1109/bigdata47090.2019.9006162","title":"Effective Utilization of External Knowledge and History Context in Multi-turn Spoken Language Understanding Model","display_name":"Effective Utilization of External Knowledge and History Context in Multi-turn Spoken Language Understanding Model","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008915885","doi":"https://doi.org/10.1109/bigdata47090.2019.9006162","mag":"3008915885"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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/A5100679741","display_name":"Yufan Wang","orcid":"https://orcid.org/0000-0001-6782-1047"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yufan Wang","raw_affiliation_strings":["National Engineering Research Center for E-Learning, Central China Normal University Hubei Provincial key Laboratory of Artificial Intelligence and Smart Learning National Language Resources Monitor & Research Center for Network Media, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for E-Learning, Central China Normal University Hubei Provincial key Laboratory of Artificial Intelligence and Smart Learning National Language Resources Monitor & Research Center for Network Media, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102010131","display_name":"Tingting He","orcid":"https://orcid.org/0000-0001-7523-6550"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting He","raw_affiliation_strings":["School of Computer, Central China Normal University Hubei Provincial key Laboratory of Artificial Intelligence and Smart Learning National Language Resources Monitor & Research Center for Network Media, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University Hubei Provincial key Laboratory of Artificial Intelligence and Smart Learning National Language Resources Monitor & Research Center for Network Media, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101692462","display_name":"Rui Fan","orcid":"https://orcid.org/0009-0006-4969-6485"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Fan","raw_affiliation_strings":["School of Computer, Central China Normal University Hubei Provincial key Laboratory of Artificial Intelligence and Smart Learning National Language Resources Monitor & Research Center for Network Media, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University Hubei Provincial key Laboratory of Artificial Intelligence and Smart Learning National Language Resources Monitor & Research Center for Network Media, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055893718","display_name":"Wen-Ji Zhou","orcid":"https://orcid.org/0000-0002-5116-5679"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenji Zhou","raw_affiliation_strings":["School of Computer, Central China Normal University Hubei Provincial key Laboratory of Artificial Intelligence and Smart Learning National Language Resources Monitor & Research Center for Network Media, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University Hubei Provincial key Laboratory of Artificial Intelligence and Smart Learning National Language Resources Monitor & Research Center for Network Media, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103248641","display_name":"Xinhui Tu","orcid":"https://orcid.org/0009-0000-6570-009X"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhui Tu","raw_affiliation_strings":["School of Computer, Central China Normal University Hubei Provincial key Laboratory of Artificial Intelligence and Smart Learning National Language Resources Monitor & Research Center for Network Media, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Central China Normal University Hubei Provincial key Laboratory of Artificial Intelligence and Smart Learning National Language Resources Monitor & Research Center for Network Media, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100679741"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":1.1201,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84418692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"960","last_page":"967"},"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/T10181","display_name":"Natural Language Processing Techniques","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/T12031","display_name":"Speech and dialogue systems","score":0.9958999752998352,"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":0.8415910601615906},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.7783325910568237},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.5969148874282837},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5484998822212219},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.533294677734375},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.5288794040679932},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5177809000015259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4729680120944977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8415910601615906},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.7783325910568237},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.5969148874282837},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5484998822212219},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.533294677734375},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.5288794040679932},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5177809000015259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4729680120944977},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1971034924","https://openalex.org/W2127795553","https://openalex.org/W2137871902","https://openalex.org/W2250645263","https://openalex.org/W2250770256","https://openalex.org/W2397579082","https://openalex.org/W2473329891","https://openalex.org/W2473965551","https://openalex.org/W2509005166","https://openalex.org/W2513629222","https://openalex.org/W2575101493","https://openalex.org/W2616122292","https://openalex.org/W2736272491","https://openalex.org/W2740768945","https://openalex.org/W2754194354","https://openalex.org/W2791258916","https://openalex.org/W2807873315","https://openalex.org/W2963050422","https://openalex.org/W2963491014","https://openalex.org/W2963715136","https://openalex.org/W2963974889","https://openalex.org/W2964117975","https://openalex.org/W3121541553","https://openalex.org/W4290742115","https://openalex.org/W6643074542","https://openalex.org/W6678830454","https://openalex.org/W6691703232","https://openalex.org/W6691770232","https://openalex.org/W6720545955","https://openalex.org/W6725841421","https://openalex.org/W6726351826","https://openalex.org/W6732187701","https://openalex.org/W6744443224","https://openalex.org/W6749581973"],"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/W157723669","https://openalex.org/W2284708545","https://openalex.org/W2402231715","https://openalex.org/W3096664139","https://openalex.org/W4385890381"],"abstract_inverted_index":{"At":[0],"present,":[1],"spoken":[2],"language":[3],"understanding":[4],"(SLU)":[5],"in":[6,88,139],"multi-turn":[7,89],"dialogue":[8,79,87,115],"is":[9,83],"a":[10,95,190],"research":[11],"hotspot,":[12],"which":[13],"mainly":[14],"includes":[15],"intent":[16,99,158],"detection":[17,100,159],"and":[18,32,66,80,101,108,142,150,160,181],"slot":[19,102,161],"filling.":[20],"SLU":[21,70],"models":[22],"trained":[23],"by":[24],"large-scale":[25],"corpus":[26],"can":[27],"learn":[28],"good":[29],"superficial":[30],"semantic":[31,55],"grammatical":[33],"information.":[34],"But":[35],"they":[36],"lack":[37],"the":[38,42,53,58,69,75,136,147,157,170,176,184],"ability":[39],"for":[40],"modeling":[41],"knowledge":[43,61,124,133,144,152,180],"needed":[44],"to":[45,50,63,85,117,135],"understand":[46,52,86],"language.":[47],"In":[48,72],"order":[49],"further":[51],"deep":[54],"information":[56,138],"of":[57,98,167,178,186],"dialogue,":[59],"external":[60,109,132,151,179],"needs":[62],"be":[64],"modeled":[65],"incorporated":[67,155],"into":[68,156],"model.":[71,164],"addition,":[73],"utilizing":[74],"correlation":[76],"between":[77],"history":[78,106,114,119,148,182],"current":[81,140],"utterance":[82,141],"able":[84],"SLU.":[90],"Thus,":[91],"this":[92],"paper":[93],"proposes":[94],"joint":[96,163],"model":[97,112,188],"filling":[103,162],"based":[104],"on":[105,169],"context":[107,127,137,149],"knowledge.":[110],"This":[111,129],"constructs":[113,123],"encoder":[116],"obtain":[118],"context.":[120],"Meanwhile,":[121],"it":[122],"attention":[125],"over":[126],"module.":[128],"module":[130],"selects":[131],"according":[134],"obtains":[143],"representation.":[145],"Finally,":[146],"representation":[153],"are":[154],"The":[165],"result":[166],"experiments":[168],"common":[171],"dataset":[172],"demonstrate":[173],"that":[174],"with":[175],"help":[177],"context,":[183],"performance":[185],"our":[187],"has":[189],"significant":[191],"improvement.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
