{"id":"https://openalex.org/W2804872758","doi":"https://doi.org/10.18653/v1/p18-4018","title":"CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation","display_name":"CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2804872758","doi":"https://doi.org/10.18653/v1/p18-4018","mag":"2804872758"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-4018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-4018","pdf_url":"https://www.aclweb.org/anthology/P18-4018.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of ACL 2018, System Demonstrations","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-4018.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","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":true,"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":"middle","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":false,"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/A5028919382","display_name":"Abhishek Patel","orcid":"https://orcid.org/0000-0002-1265-7945"},"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":"Abhishek Patel","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":4,"corresponding_author_ids":["https://openalex.org/A5058974318"],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":1.466,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86356816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9991000294685364,"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":0.9970999956130981,"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":0.8395721912384033},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.7660365104675293},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.7024610638618469},{"id":"https://openalex.org/keywords/cruise","display_name":"Cruise","score":0.6883319616317749},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5789120197296143},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5637053847312927},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5596141815185547},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.5240628719329834},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.420685350894928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3913084864616394},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.2755950093269348},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12692531943321228},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08344441652297974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395721912384033},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.7660365104675293},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.7024610638618469},{"id":"https://openalex.org/C2778821358","wikidata":"https://www.wikidata.org/wiki/Q2063640","display_name":"Cruise","level":2,"score":0.6883319616317749},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5789120197296143},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5637053847312927},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5596141815185547},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.5240628719329834},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.420685350894928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3913084864616394},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2755950093269348},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12692531943321228},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08344441652297974},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-4018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-4018","pdf_url":"https://www.aclweb.org/anthology/P18-4018.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of ACL 2018, System Demonstrations","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-4018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-4018","pdf_url":"https://www.aclweb.org/anthology/P18-4018.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of ACL 2018, System Demonstrations","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2804872758.pdf","grobid_xml":"https://content.openalex.org/works/W2804872758.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W174630521","https://openalex.org/W2077302143","https://openalex.org/W2096036274","https://openalex.org/W2101105183","https://openalex.org/W2103081392","https://openalex.org/W2129468719","https://openalex.org/W2132019450","https://openalex.org/W2251957808","https://openalex.org/W2531908596","https://openalex.org/W2953369829","https://openalex.org/W2963974889","https://openalex.org/W2964271186","https://openalex.org/W3088066054"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W1603494169"],"abstract_inverted_index":{"We":[0,137],"present":[1],"a":[2,12,29,49,56,86,92],"system,":[3],"CRUISE,":[4],"that":[5,38,98],"guides":[6],"ordinary":[7],"software":[8],"developers":[9,41],"to":[10,44,65,79,103],"build":[11],"high":[13,123],"quality":[14,124],"natural":[15],"language":[16],"understanding":[17],"(NLU)":[18],"engine":[19,90],"from":[20],"scratch.":[21],"This":[22],"is":[23],"the":[24,63,122,140],"fundamental":[25],"step":[26],"of":[27,52,125,147],"building":[28],"new":[30],"skill":[31],"for":[32],"personal":[33],"assistants.":[34],"Unlike":[35],"existing":[36],"solutions":[37],"require":[39],"either":[40],"or":[42],"crowdsourcing":[43],"manually":[45],"generate":[46,67],"and":[47,59,69,91,112,134,151],"annotate":[48],"large":[50,93],"number":[51],"utterances,":[53],"we":[54,115,120],"design":[55],"hybrid":[57],"rulebased":[58],"data-driven":[60],"approach":[61],"with":[62],"capability":[64],"iteratively":[66,80],"more":[68,70],"utterances.":[71,83],"Our":[72],"system":[73],"only":[74],"requires":[75],"light":[76],"human":[77,135,143,152],"workload":[78,144],"prune":[81],"incorrect":[82],"CRUISE":[84,126],"outputs":[85],"well":[87],"trained":[88],"NLU":[89,132],"scale":[94],"annotated":[95],"utterance":[96],"corpus":[97],"third":[99],"parties":[100],"can":[101],"use":[102],"develop":[104],"their":[105],"custom":[106,113],"skills.":[107],"Using":[108],"both":[109,130,148],"benchmark":[110],"dataset":[111],"datasets":[114],"collected":[116],"in":[117,145],"realworld":[118],"settings,":[119],"validate":[121],"generated":[127],"utterances":[128],"via":[129],"competitive":[131],"performance":[133],"evaluation.":[136],"also":[138],"show":[139],"largely":[141],"reduced":[142],"terms":[146],"cognitive":[149],"load":[150],"pruning":[153],"time":[154],"consumption.":[155]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}