{"id":"https://openalex.org/W3015459002","doi":"https://doi.org/10.1109/icassp40776.2020.9054272","title":"A BI-Model Approach for Handling Unknown Slot Values in Dialogue State Tracking","display_name":"A BI-Model Approach for Handling Unknown Slot Values in Dialogue State Tracking","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015459002","doi":"https://doi.org/10.1109/icassp40776.2020.9054272","mag":"3015459002"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100445144","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-0431-1039"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu Wang","raw_affiliation_strings":["AI Center, Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"AI Center, Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058974318","display_name":"Yilin Shen","orcid":"https://orcid.org/0000-0002-1955-1529"},"institutions":[{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]},{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilin Shen","raw_affiliation_strings":["AI Center, Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"AI Center, Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044205212","display_name":"Hongxia Jin","orcid":"https://orcid.org/0009-0000-0222-4217"},"institutions":[{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]},{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongxia Jin","raw_affiliation_strings":["AI Center, Samsung Research America, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"AI Center, Samsung Research America, Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100445144"],"corresponding_institution_ids":["https://openalex.org/I4210101778","https://openalex.org/I4210133173"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77682485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"15","issue":null,"first_page":"8019","last_page":"8023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9944000244140625,"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":0.7932326793670654},{"id":"https://openalex.org/keywords/pointer","display_name":"Pointer (user interface)","score":0.7722033262252808},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7221396565437317},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5655900239944458},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5481314659118652},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5333969593048096},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.477125883102417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4574524462223053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1827394962310791},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12228226661682129}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932326793670654},{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.7722033262252808},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7221396565437317},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5655900239944458},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5481314659118652},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5333969593048096},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.477125883102417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4574524462223053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1827394962310791},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12228226661682129},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1932176876","https://openalex.org/W2025403617","https://openalex.org/W2055537935","https://openalex.org/W2079735306","https://openalex.org/W2095705004","https://openalex.org/W2102414627","https://openalex.org/W2161406427","https://openalex.org/W2250297846","https://openalex.org/W2250589450","https://openalex.org/W2251163406","https://openalex.org/W2251235149","https://openalex.org/W2412715517","https://openalex.org/W2507756961","https://openalex.org/W2556427613","https://openalex.org/W2569028745","https://openalex.org/W2606974598","https://openalex.org/W2735778951","https://openalex.org/W2769532820","https://openalex.org/W2772001136","https://openalex.org/W2804945011","https://openalex.org/W2865728222","https://openalex.org/W2885746304","https://openalex.org/W2904713804","https://openalex.org/W2939386243","https://openalex.org/W2949252816","https://openalex.org/W2962776342","https://openalex.org/W2962847367","https://openalex.org/W2962886331","https://openalex.org/W2963068985","https://openalex.org/W2963243930","https://openalex.org/W2963283951","https://openalex.org/W2963788376","https://openalex.org/W2963974889","https://openalex.org/W2964057895","https://openalex.org/W2964101860","https://openalex.org/W2964121744","https://openalex.org/W2964210218","https://openalex.org/W4285719527","https://openalex.org/W4295249402","https://openalex.org/W6631190155","https://openalex.org/W6640419265","https://openalex.org/W6674330103","https://openalex.org/W6675464777","https://openalex.org/W6677518753","https://openalex.org/W6691246603","https://openalex.org/W6691357803","https://openalex.org/W6691555828","https://openalex.org/W6712785310","https://openalex.org/W6715475388","https://openalex.org/W6718074661","https://openalex.org/W6725207838","https://openalex.org/W6732742072","https://openalex.org/W6734696739","https://openalex.org/W6746371061","https://openalex.org/W6753332334"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W4283361710","https://openalex.org/W3098003361"],"abstract_inverted_index":{"In":[0],"this":[1,38],"paper,":[2],"we":[3],"present":[4],"an":[5,63],"end-to-end":[6,65],"bi-model":[7,86],"structure":[8,35,87],"for":[9],"dialogue":[10,66],"state":[11,67],"tracking,":[12],"which":[13,73],"can":[14,40,74,88],"handle":[15,76],"the":[16,19,33,49,77,85,90],"scenarios":[17],"when":[18],"spoken":[20],"language":[21],"understanding":[22],"model":[23,34,59,69],"with":[24,62],"a":[25],"predefined":[26],"slot":[27,44,79],"candidate":[28],"list":[29],"is":[30],"absent.":[31],"Furthermore,":[32],"described":[36],"in":[37,60],"paper":[39],"effectively":[41],"extract":[42],"unknown":[43,78],"values":[45],"and":[46,81,92],"still":[47],"maintain":[48],"state-of-the-art":[50],"performance":[51],"on":[52],"DSTC2":[53],"benchmark.":[54],"We":[55],"also":[56,75],"compare":[57],"our":[58],"detail":[61],"existing":[64],"tracking":[68],"using":[70],"pointer":[71],"network":[72],"values,":[80],"demonstrates":[82],"that":[83],"how":[84],"benefit":[89],"task":[91],"hence":[93],"gives":[94],"better":[95],"performance.":[96]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}