{"id":"https://openalex.org/W2972310114","doi":"https://doi.org/10.21437/interspeech.2019-2955","title":"Iterative Delexicalization for Improved Spoken Language Understanding","display_name":"Iterative Delexicalization for Improved Spoken Language Understanding","publication_year":2019,"publication_date":"2019-09-13","ids":{"openalex":"https://openalex.org/W2972310114","doi":"https://doi.org/10.21437/interspeech.2019-2955","mag":"2972310114"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2019-2955","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-2955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","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/A5052122471","display_name":"Avik Ray","orcid":"https://orcid.org/0000-0002-0047-7453"},"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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Avik Ray","raw_affiliation_strings":["Samsung Research America Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"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/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":["Samsung Research America Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"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/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":["Samsung Research America Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052122471"],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":0.5601,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75146461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1183","last_page":"1187"},"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":0.9998999834060669,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8676058053970337},{"id":"https://openalex.org/keywords/substring","display_name":"Substring","score":0.7057834267616272},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6039861440658569},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5992684960365295},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5882917046546936},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.565670371055603},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5366610288619995},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5044118165969849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4899698793888092},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.48471927642822266},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48241958022117615},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4178682565689087},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36243969202041626},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32636138796806335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8676058053970337},{"id":"https://openalex.org/C182407805","wikidata":"https://www.wikidata.org/wiki/Q2626534","display_name":"Substring","level":3,"score":0.7057834267616272},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6039861440658569},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5992684960365295},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5882917046546936},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.565670371055603},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5366610288619995},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5044118165969849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4899698793888092},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.48471927642822266},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48241958022117615},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4178682565689087},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36243969202041626},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32636138796806335},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2019-2955","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-2955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2068547472","https://openalex.org/W2076440176","https://openalex.org/W2137871902","https://openalex.org/W2144571677","https://openalex.org/W2189149111","https://openalex.org/W2473329891","https://openalex.org/W2742039423","https://openalex.org/W2742104566","https://openalex.org/W2803392141","https://openalex.org/W2804945011","https://openalex.org/W2888791035","https://openalex.org/W2905450837","https://openalex.org/W2949252816","https://openalex.org/W2962715022","https://openalex.org/W2963033987","https://openalex.org/W2963794306","https://openalex.org/W2963910262","https://openalex.org/W2963974889","https://openalex.org/W2964313990","https://openalex.org/W4297683418"],"related_works":["https://openalex.org/W1583922594","https://openalex.org/W1542422837","https://openalex.org/W1974038726","https://openalex.org/W2998448420","https://openalex.org/W1598224733","https://openalex.org/W4280502676","https://openalex.org/W2160451571","https://openalex.org/W2284708545","https://openalex.org/W2495256954","https://openalex.org/W2259317772"],"abstract_inverted_index":{"Recurrent":[0],"neural":[1],"network":[2],"(RNN)":[3],"based":[4,145],"joint":[5],"intent":[6],"classification":[7],"and":[8,24,132],"slot":[9,42,78,102,150],"tagging":[10],"models":[11,28],"have":[12],"achieved":[13],"tremendous":[14],"success":[15],"in":[16,41,55,116],"recent":[17],"years":[18],"for":[19,33,143,148],"building":[20],"spoken":[21],"language":[22],"understanding":[23],"dialog":[25],"systems.However,":[26],"these":[27],"suffer":[29],"from":[30],"poor":[31],"performance":[32,142],"slots":[34,54,75],"which":[35,93],"often":[36,67],"encounter":[37],"large":[38],"semantic":[39],"variability":[40],"values":[43,79],"after":[44],"deployment":[45],"(e.g.message":[46],"texts,":[47],"partial":[48],"movie/artist":[49],"names).While":[50],"greedy":[51],"delexicalization":[52,91,115],"of":[53,107],"the":[56,97,108,122,126],"input":[57,124],"utterance":[58],"via":[59],"substring":[60],"matching":[61],"can":[62,94,138],"partly":[63],"improve":[64,140],"performance,":[65],"it":[66],"produces":[68],"incorrect":[69],"input.Moreover,":[70],"such":[71],"techniques":[72],"cannot":[73],"delexicalize":[74,96],"with":[76,100],"out-of-vocabulary":[77,101],"not":[80],"seen":[81],"at":[82],"training.In":[83],"this":[84],"paper,":[85],"we":[86],"propose":[87],"a":[88],"novel":[89],"iterative":[90],"algorithm,":[92],"accurately":[95],"input,":[98,111],"even":[99],"values.Based":[103],"on":[104,130],"model":[105],"confidence":[106],"current":[109],"delexicalized":[110],"our":[112,136],"algorithm":[113,137],"improves":[114],"every":[117],"iteration":[118],"to":[119,121],"converge":[120],"best":[123],"having":[125],"highest":[127],"confidence.We":[128],"show":[129],"benchmark":[131],"in-house":[133],"datasets":[134],"that":[135],"greatly":[139],"parsing":[141],"RNN":[144],"models,":[146],"especially":[147],"out-of-distribution":[149],"values.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"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"}