{"id":"https://openalex.org/W2912710115","doi":"https://doi.org/10.1109/slt.2018.8639671","title":"Out-of-Domain Slot Value Detection for Spoken Dialogue Systems with Context Information","display_name":"Out-of-Domain Slot Value Detection for Spoken Dialogue Systems with Context Information","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912710115","doi":"https://doi.org/10.1109/slt.2018.8639671","mag":"2912710115"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2018.8639671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2018.8639671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Spoken Language Technology Workshop (SLT)","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/A5101659625","display_name":"Yuka Kobayashi","orcid":"https://orcid.org/0000-0002-8474-6162"},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuka Kobayashi","raw_affiliation_strings":["Corporate Research & Development Center, Toshiba Corporation"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development Center, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103835321","display_name":"Takami Yoshida","orcid":null},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takami Yoshida","raw_affiliation_strings":["Corporate Research & Development Center, Toshiba Corporation"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development Center, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060846465","display_name":"Kenji Iwata","orcid":"https://orcid.org/0000-0001-6609-8221"},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Iwata","raw_affiliation_strings":["Corporate Research & Development Center, Toshiba Corporation"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development Center, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113822996","display_name":"Hiroshi Fujimura","orcid":null},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Fujimura","raw_affiliation_strings":["Corporate Research & Development Center, Toshiba Corporation"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development Center, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112250968","display_name":"Masami Akamine","orcid":null},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masami Akamine","raw_affiliation_strings":["Corporate Research & Development Center, Toshiba Corporation"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development Center, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101659625"],"corresponding_institution_ids":["https://openalex.org/I1292669757"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69544625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"854","last_page":"861"},"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/T12031","display_name":"Speech and dialogue systems","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":0.9973999857902527,"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":0.8072185516357422},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6321828365325928},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.602786123752594},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5788164734840393},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.553768515586853},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5496774315834045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5444440245628357},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4800718426704407},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4733288884162903},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4669203758239746},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.45633217692375183},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.44829463958740234},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.4395006597042084},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3936167359352112},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3880177438259125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11441412568092346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8072185516357422},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6321828365325928},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.602786123752594},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5788164734840393},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.553768515586853},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5496774315834045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5444440245628357},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4800718426704407},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4733288884162903},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4669203758239746},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.45633217692375183},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.44829463958740234},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.4395006597042084},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3936167359352112},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3880177438259125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11441412568092346},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt.2018.8639671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2018.8639671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W13665300","https://openalex.org/W1614298861","https://openalex.org/W1904365287","https://openalex.org/W1993567041","https://openalex.org/W2095705004","https://openalex.org/W2130942839","https://openalex.org/W2131774270","https://openalex.org/W2147880316","https://openalex.org/W2157331557","https://openalex.org/W2250473257","https://openalex.org/W2250539671","https://openalex.org/W2251058040","https://openalex.org/W2296283641","https://openalex.org/W2560939934","https://openalex.org/W2727973045","https://openalex.org/W2741762453","https://openalex.org/W2759211898","https://openalex.org/W2767009364","https://openalex.org/W2798350364","https://openalex.org/W2803211626","https://openalex.org/W2950577311","https://openalex.org/W2962902328","https://openalex.org/W2962944953","https://openalex.org/W2963283951","https://openalex.org/W2963324947","https://openalex.org/W2963578188","https://openalex.org/W2963625095","https://openalex.org/W2963974889","https://openalex.org/W2964308564","https://openalex.org/W2975577233","https://openalex.org/W3095590940","https://openalex.org/W4285719527","https://openalex.org/W6600556233","https://openalex.org/W6636510571","https://openalex.org/W6640036494","https://openalex.org/W6674330103","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6682082992","https://openalex.org/W6698721934","https://openalex.org/W6725841421","https://openalex.org/W6740855974","https://openalex.org/W6751431506","https://openalex.org/W6768526848","https://openalex.org/W6784928359"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2944541365"],"abstract_inverted_index":{"This":[0,41,91],"paper":[1],"proposes":[2],"an":[3,33],"approach":[4,20],"to":[5,35,49,80,129],"detecting-of-domain":[6],"slot":[7,24,81,109],"values":[8,25,82,110],"from":[9,26,46],"user":[10,50],"utterances":[11,27],"in":[12,125],"spoken":[13],"dialogue":[14],"systems":[15,45],"based":[16],"on":[17],"contexts.":[18],"The":[19,70,96],"detects":[21],"keywords":[22,39,78],"of":[23,76,88,107,111],"and":[28,61,133],"consults":[29],"domain":[30],"knowledge":[31],"(i.e.,":[32],"ontology)":[34],"check":[36],"whether":[37],"the":[38,44,77,89,108,112,118],"are-of-domain.":[40],"can":[42],"prevent":[43],"responding":[47],"improperly":[48],"requests.":[51],"We":[52],"use":[53],"a":[54,63,122,130,134],"Recurrent":[55],"Neural":[56],"Network":[57],"(RNN)":[58],"encoder-decoder":[59],"model":[60,97,132],"propose":[62],"method":[64,71,120],"that":[65,117],"uses":[66],"only":[67],"in-domain":[68],"data.":[69,114],"replaces":[72],"word":[73],"embedding":[74],"vectors":[75,85],"corresponding":[79],"with":[83,141],"random":[84],"during":[86],"training":[87,113],"model.":[90],"allows":[92],"using":[93],"context":[94],"information.":[95],"is":[98,105],"robust":[99],"against":[100],"over-fitting":[101],"problems":[102],"because":[103],"it":[104],"independent":[106],"Experiments":[115],"show":[116],"proposed":[119],"achieves":[121],"65%":[123],"gain":[124],"F1":[126],"score":[127],"relative":[128],"baseline":[131],"further":[135],"13":[136],"percentage":[137],"points":[138],"by":[139],"combining":[140],"other":[142],"methods.":[143]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
