{"id":"https://openalex.org/W2964313990","doi":"https://doi.org/10.21437/interspeech.2018-2358","title":"Robust Spoken Language Understanding via Paraphrasing","display_name":"Robust Spoken Language Understanding via Paraphrasing","publication_year":2018,"publication_date":"2018-08-28","ids":{"openalex":"https://openalex.org/W2964313990","doi":"https://doi.org/10.21437/interspeech.2018-2358","mag":"2964313990"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2018-2358","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2018-2358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2018","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":1.6288,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88162771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3454","last_page":"3458"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8697383403778076},{"id":"https://openalex.org/keywords/paraphrase","display_name":"Paraphrase","score":0.7941650748252869},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6728556752204895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6397542953491211},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6311883330345154},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.6007260084152222},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5754661560058594},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5010144710540771},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.48429909348487854},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4774244725704193},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.45230746269226074},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4497905373573303},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4445193409919739},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44417861104011536},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39069172739982605},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09991085529327393},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09134376049041748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8697383403778076},{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.7941650748252869},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6728556752204895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6397542953491211},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6311883330345154},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.6007260084152222},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5754661560058594},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5010144710540771},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.48429909348487854},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4774244725704193},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.45230746269226074},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4497905373573303},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4445193409919739},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44417861104011536},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39069172739982605},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09991085529327393},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09134376049041748},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2018-2358","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2018-2358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2018","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W174630521","https://openalex.org/W179875071","https://openalex.org/W1550863320","https://openalex.org/W1869752048","https://openalex.org/W2077302143","https://openalex.org/W2094472029","https://openalex.org/W2103081392","https://openalex.org/W2130942839","https://openalex.org/W2132019450","https://openalex.org/W2133564696","https://openalex.org/W2137871902","https://openalex.org/W2138295022","https://openalex.org/W2140847984","https://openalex.org/W2153962611","https://openalex.org/W2157331557","https://openalex.org/W2166293310","https://openalex.org/W2167170026","https://openalex.org/W2402268235","https://openalex.org/W2473329891","https://openalex.org/W2531908596","https://openalex.org/W2742039423","https://openalex.org/W2804945011","https://openalex.org/W2962715022","https://openalex.org/W2962965405","https://openalex.org/W2963655793","https://openalex.org/W2963675284","https://openalex.org/W2963794306","https://openalex.org/W2963974889"],"related_works":["https://openalex.org/W191017350","https://openalex.org/W4206666510","https://openalex.org/W2018298289","https://openalex.org/W2782520308","https://openalex.org/W3175194702","https://openalex.org/W2251069562","https://openalex.org/W3120390996","https://openalex.org/W2496310762","https://openalex.org/W2495256954","https://openalex.org/W2259317772"],"abstract_inverted_index":{"Learning":[0],"intents":[1],"and":[2,18,36,80,95,107],"slot":[3],"labels":[4],"from":[5,29],"user":[6],"utterances":[7],"is":[8],"a":[9,51],"fundamental":[10],"step":[11],"in":[12,41,66,96],"all":[13],"spoken":[14],"language":[15],"understanding":[16],"(SLU)":[17],"dialog":[19],"systems.State-of-the-art":[20],"neural":[21,83],"network":[22],"based":[23,54,82],"methods,":[24],"after":[25],"deployment,":[26],"often":[27],"suffer":[28],"performance":[30],"degradation":[31],"on":[32,92],"encountering":[33],"paraphrased":[34,109],"utterances,":[35,110],"out-of-vocabulary":[37],"words,":[38],"rarely":[39],"observed":[40],"their":[42,70],"training":[43],"set.We":[44],"address":[45],"this":[46],"challenging":[47],"problem":[48],"by":[49],"introducing":[50],"novel":[52],"paraphrasing":[53],"SLU":[55,64],"model":[56,65],"which":[57,85],"can":[58],"be":[59],"integrated":[60],"with":[61],"any":[62],"existing":[63,93],"order":[67],"to":[68,105],"improve":[69],"overall":[71],"performance.We":[72],"propose":[73],"two":[74],"new":[75],"paraphrase":[76],"generators":[77],"using":[78],"RNN":[79],"sequence-to-sequence":[81],"networks,":[84],"are":[86],"suitable":[87],"for":[88],"our":[89,103],"application.Our":[90],"experiments":[91],"benchmark":[94],"house":[97],"datasets":[98],"demonstrate":[99],"the":[100],"robustness":[101],"of":[102],"models":[104],"rare":[106],"complex":[108],"even":[111],"under":[112],"adversarial":[113],"test":[114],"distributions.":[115]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}