{"id":"https://openalex.org/W3134247120","doi":"https://doi.org/10.1109/iscslp49672.2021.9362087","title":"Spoken Language Understanding with Sememe Knowledge as Domain Knowledge","display_name":"Spoken Language Understanding with Sememe Knowledge as Domain Knowledge","publication_year":2021,"publication_date":"2021-01-24","ids":{"openalex":"https://openalex.org/W3134247120","doi":"https://doi.org/10.1109/iscslp49672.2021.9362087","mag":"3134247120"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp49672.2021.9362087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp49672.2021.9362087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)","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/A5061418266","display_name":"Sixia Li","orcid":null},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Sixia Li","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology,Ishikawa,Japan","Japan Advanced Institute of Science and Technology, Ishikawa, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology,Ishikawa,Japan","institution_ids":["https://openalex.org/I177738480"]},{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017251198","display_name":"Jianwu Dang","orcid":"https://orcid.org/0000-0002-9237-4821"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Jianwu Dang","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology,Ishikawa,Japan","Japan Advanced Institute of Science and Technology, Ishikawa, Japan","Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology,Ishikawa,Japan","institution_ids":["https://openalex.org/I177738480"]},{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101745213","display_name":"Longbiao Wang","orcid":"https://orcid.org/0000-0002-8094-6861"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longbiao Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University,Tianjin,China","Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061418266"],"corresponding_institution_ids":["https://openalex.org/I177738480"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03043138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9987999796867371,"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":0.8675574660301208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6803750991821289},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6767667531967163},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.5662925839424133},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5655276775360107},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.5374048352241516},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5159059762954712},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5155563354492188},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49175217747688293},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.47388190031051636},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4431850016117096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8675574660301208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6803750991821289},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6767667531967163},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.5662925839424133},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5655276775360107},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.5374048352241516},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5159059762954712},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5155563354492188},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49175217747688293},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.47388190031051636},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4431850016117096},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp49672.2021.9362087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp49672.2021.9362087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1591840823","https://openalex.org/W1940872118","https://openalex.org/W2473329891","https://openalex.org/W2740768945","https://openalex.org/W2798604731","https://openalex.org/W2803392141","https://openalex.org/W2889869899","https://openalex.org/W2894164357","https://openalex.org/W2896457183","https://openalex.org/W2917128112","https://openalex.org/W2944852028","https://openalex.org/W2962739339","https://openalex.org/W2963187078","https://openalex.org/W2963229292","https://openalex.org/W2963578915","https://openalex.org/W2963765493","https://openalex.org/W2963974889","https://openalex.org/W2979627741","https://openalex.org/W2980449360","https://openalex.org/W2980689696","https://openalex.org/W2981124540","https://openalex.org/W2981269614","https://openalex.org/W4205337843","https://openalex.org/W4288620792","https://openalex.org/W6640362995","https://openalex.org/W6755207826","https://openalex.org/W6758581138","https://openalex.org/W6759393636"],"related_works":["https://openalex.org/W2385621242","https://openalex.org/W2367629516","https://openalex.org/W2086580554","https://openalex.org/W2553860513","https://openalex.org/W1986001501","https://openalex.org/W2353740909","https://openalex.org/W2475408106","https://openalex.org/W2592721119","https://openalex.org/W4386298164","https://openalex.org/W2075096090"],"abstract_inverted_index":{"Spoken":[0],"language":[1],"understanding":[2],"(SLU)":[3],"is":[4],"a":[5,17,71,86,95,158,162,167,180],"key":[6],"procedure":[7],"in":[8,82,116,125],"task-oriented":[9],"dialogue":[10],"systems,":[11],"its":[12],"performance":[13,177],"has":[14],"been":[15],"improved":[16],"lot":[18],"due":[19],"to":[20,53,136,155,161,179,189],"deep":[21],"neural":[22],"network":[23],"with":[24],"pre-trained":[25],"textual":[26],"features.":[27],"However,":[28,60],"data":[29],"sparsity":[30],"and":[31,45,79,103,119,183],"ASR":[32,190],"error":[33],"usually":[34],"influence":[35],"the":[36,105,131,137,141,148,153,172,187],"model":[37,154],"performance.":[38],"Previous":[39],"studies":[40],"showed":[41,170,186],"that":[42,171],"pre-defined":[43],"rules":[44],"domain":[46,73,123],"knowledge":[47,97,124],"such":[48],"as":[49,122],"lexicon":[50],"features":[51],"seems":[52],"be":[54],"helpful":[55],"for":[56,114],"solving":[57],"these":[58],"issues.":[59],"those":[61],"methods":[62],"are":[63],"not":[64],"flexible.":[65],"In":[66],"this":[67],"study,":[68],"we":[69,93],"propose":[70],"new":[72],"knowledge,":[74,78],"ontology":[75],"based":[76],"sememe":[77,96,112,142],"apply":[80],"it":[81,184],"SLU":[83,126],"task":[84,127],"via":[85],"weighted":[87,132,138],"sum":[88,133],"network.":[89,134],"To":[90],"do":[91],"so,":[92],"construct":[94],"base":[98],"by":[99,128],"identifying":[100],"slots'":[101],"meanings":[102],"extracting":[104],"corresponding":[106],"sememes":[107],"from":[108],"HowNet.":[109],"We":[110],"extract":[111],"sets":[113,143],"characters":[115],"given":[117],"utterance":[118],"use":[120],"them":[121],"means":[129],"of":[130,140],"Due":[135],"combinations":[139],"can":[144,151],"extend":[145],"words'":[146],"meanings,":[147],"proposed":[149,173],"method":[150],"help":[152],"flexibly":[156],"match":[157],"sparse":[159],"word":[160],"specific":[163],"slot.":[164],"Evaluation":[165],"on":[166],"Mandarin":[168],"corpus":[169],"approach":[174],"achieved":[175],"better":[176],"comparing":[178],"leading":[181],"method,":[182],"also":[185],"robustness":[188],"error.":[191]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
