{"id":"https://openalex.org/W2118302929","doi":"https://doi.org/10.1109/tce.2010.5681076","title":"Natural language-based user interface for mobile devices with limited resources","display_name":"Natural language-based user interface for mobile devices with limited resources","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2118302929","doi":"https://doi.org/10.1109/tce.2010.5681076","mag":"2118302929"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2010.5681076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2010.5681076","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5100417970","display_name":"Soyoung Park","orcid":"https://orcid.org/0000-0001-6435-9416"},"institutions":[{"id":"https://openalex.org/I157264075","display_name":"Sangmyung University","ror":"https://ror.org/01x4whx42","country_code":"KR","type":"education","lineage":["https://openalex.org/I157264075"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"So-Young Park","raw_affiliation_strings":["Division of Digital Media Technology, SangMyung University, Seoul, South Korea","Div. of Digital Media Technol., SangMyung Univ., Seoul, South Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Division of Digital Media Technology, SangMyung University, Seoul, South Korea","institution_ids":["https://openalex.org/I157264075"]},{"raw_affiliation_string":"Div. of Digital Media Technol., SangMyung Univ., Seoul, South Korea#TAB#","institution_ids":["https://openalex.org/I157264075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039683921","display_name":"Jeunghyun Byun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeunghyun Byun","raw_affiliation_strings":["Daumsoft, Inc., Seoul, South Korea","Daumsoft, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Daumsoft, Inc., Seoul, South Korea","institution_ids":[]},{"raw_affiliation_string":"Daumsoft, Seoul, South Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111783356","display_name":"Hae\u2010Chang Rim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hae-Chang Rim","raw_affiliation_strings":["Korea University, Seoul, South Korea","Korea university - Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea university - Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069113574","display_name":"Do-Gil Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Do-Gil Lee","raw_affiliation_strings":["Korea University, Seoul, South Korea","Korea university - Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea university - Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033580486","display_name":"Heuiseok Lim","orcid":"https://orcid.org/0000-0002-9269-1157"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heuiseok Lim","raw_affiliation_strings":["Korea University, Seoul, South Korea","Korea university - Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea university - Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100417970"],"corresponding_institution_ids":["https://openalex.org/I157264075"],"apc_list":null,"apc_paid":null,"fwci":2.7748,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92841072,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"56","issue":"4","first_page":"2086","last_page":"2092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10470","display_name":"Usability and User Interface Design","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/discriminative-model","display_name":"Discriminative model","score":0.8091740608215332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7631162405014038},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7124108076095581},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6486784815788269},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6339707374572754},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.6234220862388611},{"id":"https://openalex.org/keywords/natural-language-user-interface","display_name":"Natural language user interface","score":0.5719877481460571},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5640890598297119},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.52790766954422},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5211689472198486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5108861327171326},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5035876631736755},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.44548502564430237},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3551194369792938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34319964051246643},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15811988711357117},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08867567777633667}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8091740608215332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7631162405014038},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7124108076095581},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6486784815788269},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6339707374572754},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.6234220862388611},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.5719877481460571},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5640890598297119},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.52790766954422},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5211689472198486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5108861327171326},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5035876631736755},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.44548502564430237},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3551194369792938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34319964051246643},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15811988711357117},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08867567777633667},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"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/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2010.5681076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2010.5681076","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W9850975","https://openalex.org/W78204198","https://openalex.org/W1509643596","https://openalex.org/W1623072288","https://openalex.org/W1970571335","https://openalex.org/W1984792882","https://openalex.org/W2047192163","https://openalex.org/W2083278860","https://openalex.org/W2112772935","https://openalex.org/W2121408630","https://openalex.org/W2124049828","https://openalex.org/W2125712079","https://openalex.org/W2142109607","https://openalex.org/W2157632619","https://openalex.org/W2158580184","https://openalex.org/W2160713734","https://openalex.org/W2798735774","https://openalex.org/W2951562155","https://openalex.org/W4246947491","https://openalex.org/W6600379296","https://openalex.org/W6603191026","https://openalex.org/W6636392717","https://openalex.org/W6677048895","https://openalex.org/W6683155578"],"related_works":["https://openalex.org/W2395910192","https://openalex.org/W2113687551","https://openalex.org/W2112752961","https://openalex.org/W2112751186","https://openalex.org/W382594479","https://openalex.org/W2152921782","https://openalex.org/W2470045054","https://openalex.org/W1968262010","https://openalex.org/W1504888371","https://openalex.org/W3021390165"],"abstract_inverted_index":{"In":[0,27],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,12,16,24,61,81,87,152],"natural":[6,56],"language-based":[7],"interface":[8],"model":[9,50,124,172,189],"to":[10,14,42,150],"enable":[11],"user":[13],"articulate":[15],"request":[17],"without":[18],"having":[19],"any":[20],"specific":[21],"knowledge":[22],"about":[23],"mobile":[25,39],"device.":[26],"consideration":[28],"of":[29,37,86,159,162,186],"the":[30,38,44,48,69,74,97,106,122,126,132,144,157,160,170,187],"very":[31],"limited":[32],"computing":[33],"and":[34,41,89],"memory":[35],"capacity":[36],"device":[40,82],"keep":[43],"development":[45],"cost":[46],"low,":[47],"proposed":[49,123,171],"does":[51],"not":[52],"depend":[53],"on":[54,60,68],"typical":[55],"language":[57],"techniques,":[58],"but":[59],"ranking":[62,145],"technique,":[63],"that":[64,80,96,169],"is":[65,79,95,99,148,181],"simplified":[66],"based":[67],"mathematical":[70],"derivation":[71],"process":[72,161],"with":[73,117,131,140,173,190],"following":[75],"assumptions.":[76],"One":[77],"assumption":[78,94],"control":[83],"command":[84,129],"consists":[85],"function":[88,107,147],"its":[90],"parameters.":[91],"The":[92],"other":[93],"parameter":[98],"represented":[100,110],"as":[101,111],"few":[102],"predictable":[103],"patterns,":[104,121],"whereas":[105],"can":[108],"be":[109],"various":[112,119],"sentence":[113,120],"patterns.":[114],"To":[115],"deal":[116],"these":[118],"selects":[125],"top":[127],"ranked":[128],"candidate":[130],"highest":[133],"score":[134,146],"after":[135],"generating":[136,163],"all":[137],"possible":[138],"candidates":[139],"their":[141],"scores.":[142],"Furthermore,":[143],"designed":[149],"achieve":[151],"high":[153],"discriminative":[154],"capability":[155],"by":[156],"simulation":[158],"every":[164],"candidate.":[165],"Experimental":[166],"results":[167],"show":[168],"2.9":[174],"megabytes":[175],"performs":[176],"at":[177],"96.27%":[178],"accuracy,":[179],"which":[180],"slightly":[182],"lower":[183],"than":[184],"97.06%":[185],"baseline":[188],"135.2":[191],"megabytes.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}