{"id":"https://openalex.org/W3209321542","doi":"https://doi.org/10.1155/2021/8900304","title":"Research on Spoken Language Understanding Based on Deep Learning","display_name":"Research on Spoken Language Understanding Based on Deep Learning","publication_year":2021,"publication_date":"2021-10-27","ids":{"openalex":"https://openalex.org/W3209321542","doi":"https://doi.org/10.1155/2021/8900304","mag":"3209321542"},"language":"en","primary_location":{"id":"doi:10.1155/2021/8900304","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8900304","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/8900304.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/8900304.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020304600","display_name":"Hui Yan-li","orcid":"https://orcid.org/0000-0001-9562-3718"},"institutions":[{"id":"https://openalex.org/I4210110925","display_name":"Jiaozuo University","ror":"https://ror.org/024nbxn35","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110925"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Yanli","raw_affiliation_strings":["Faculty of Foreign Languages and Business, Jiaozuo Normal College, Jiaozuo 454001, China"],"raw_orcid":"https://orcid.org/0000-0001-9562-3718","affiliations":[{"raw_affiliation_string":"Faculty of Foreign Languages and Business, Jiaozuo Normal College, Jiaozuo 454001, China","institution_ids":["https://openalex.org/I4210110925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020304600"],"corresponding_institution_ids":["https://openalex.org/I4210110925"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":0.4197,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70350768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9645000100135803,"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":0.9645000100135803,"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":0.9635999798774719,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.9606999754905701,"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":0.8120925426483154},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.6870236992835999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6383246183395386},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5938922166824341},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5868778228759766},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5410929322242737},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5317522287368774},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4683520197868347},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.42681893706321716},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4156181216239929},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1203615665435791}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8120925426483154},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.6870236992835999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6383246183395386},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5938922166824341},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5868778228759766},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5410929322242737},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5317522287368774},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4683520197868347},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.42681893706321716},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4156181216239929},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1203615665435791},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"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:10.1155/2021/8900304","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8900304","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/8900304.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:19cf4bea454a45b6b99e50a076fb6354","is_oa":true,"landing_page_url":"https://doaj.org/article/19cf4bea454a45b6b99e50a076fb6354","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/8900304","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/8900304","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/8900304.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3209321542.pdf","grobid_xml":"https://content.openalex.org/works/W3209321542.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2948216628","https://openalex.org/W2956865104","https://openalex.org/W2957933596","https://openalex.org/W2969818419","https://openalex.org/W2979352286","https://openalex.org/W3003908613","https://openalex.org/W3004088204","https://openalex.org/W3011993190","https://openalex.org/W3021690593","https://openalex.org/W3042212909","https://openalex.org/W3044507459","https://openalex.org/W3066638624","https://openalex.org/W3089436844","https://openalex.org/W3106231035","https://openalex.org/W3109962989","https://openalex.org/W3126193945","https://openalex.org/W3132184017","https://openalex.org/W3158815815","https://openalex.org/W3203178080","https://openalex.org/W4318035164","https://openalex.org/W7008885139"],"related_works":["https://openalex.org/W2081647779","https://openalex.org/W3185852197","https://openalex.org/W1539050421","https://openalex.org/W3107474891","https://openalex.org/W3093057136","https://openalex.org/W3114626748","https://openalex.org/W3024381485","https://openalex.org/W4205820553","https://openalex.org/W2035959783","https://openalex.org/W2883550961"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"solving":[2],"the":[3,6,20,49,53,63,75,87,94,106,114,124,133,144,155,168],"problem":[4],"that":[5,154],"recognition":[7,58,88],"effect":[8],"of":[9,22,40,77,89,96,129,146,162],"rare":[10,90],"slot":[11,79,91,101,108],"values":[12],"in":[13],"spoken":[14,27,147,164,169],"language":[15,28,148,170],"is":[16,31,60,84,110,121,136],"poor,":[17],"which":[18],"affects":[19],"accuracy":[21,185],"oral":[23],"understanding":[24,29,171],"task,":[25],"a":[26,69],"method":[30,157],"designed":[32,61],"based":[33,138,173],"on":[34,139,174],"deep":[35,140],"learning.":[36],"The":[37,81,150],"local":[38],"features":[39],"semantic":[41,78],"text":[42],"are":[43,103],"extracted":[44],"and":[45,99,105,126,132,179,186,189],"classified":[46],"to":[47,73,86,112,142],"make":[48],"classification":[50,64],"results":[51,152],"match":[52],"dialogue":[54],"task.":[55],"An":[56,117],"intention":[57,71],"algorithm":[59],"for":[62],"results.":[65],"Each":[66],"datum":[67],"has":[68,183,190],"corresponding":[70,100],"label":[72,180],"complete":[74,143],"task":[76,145],"filling.":[80],"attention":[82],"mechanism":[83],"applied":[85],"value":[92,109,188],"information,":[93,178],"weight":[95],"hidden":[97],"state":[98],"characteristics":[102],"obtained,":[104],"updated":[107],"used":[111],"represent":[113],"tracking":[115],"state.":[116],"auxiliary":[118],"gate":[119],"unit":[120],"constructed":[122],"between":[123],"upper":[125],"lower":[127],"slots":[128],"historical":[130],"dialogue,":[131],"word":[134],"vector":[135],"trained":[137],"learning":[141],"understanding.":[149],"simulation":[151],"show":[153],"proposed":[156],"can":[158],"realize":[159],"multiple":[160],"rounds":[161],"man-machine":[163],"language.":[165],"Compared":[166],"with":[167],"methods":[172],"cyclic":[175],"network,":[176],"context":[177],"decomposition,":[181],"it":[182],"higher":[184,191],"F1":[187],"practical":[192],"application":[193],"value.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
