{"id":"https://openalex.org/W2974673938","doi":"https://doi.org/10.20965/jaciii.2019.p0947","title":"Efficient Corpus Creation Method for NLU Using Interview with Probing Questions","display_name":"Efficient Corpus Creation Method for NLU Using Interview with Probing Questions","publication_year":2019,"publication_date":"2019-09-19","ids":{"openalex":"https://openalex.org/W2974673938","doi":"https://doi.org/10.20965/jaciii.2019.p0947","mag":"2974673938"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2019.p0947","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1883-8014","issn":["1883-8014","1343-0130"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.20965/jaciii.2019.p0947","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004727383","display_name":"Kazuaki Shima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuaki Shima","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068174033","display_name":"Takeshi Homma","orcid":"https://orcid.org/0000-0003-3864-3848"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takeshi Homma","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080423886","display_name":"Masataka Motohashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masataka Motohashi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084590882","display_name":"Rintaro Ikeshita","orcid":"https://orcid.org/0000-0003-2608-1999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rintaro Ikeshita","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057333332","display_name":"Hiroaki Kokubo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroaki Kokubo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113670873","display_name":"Yasunari Obuchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasunari Obuchi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5064921209","display_name":"Jinhua She","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinhua She","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":0,"currency":"USD","value_usd":0},"apc_paid":null,"fwci":0.282,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.463859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":69,"max":74},"biblio":{"volume":"23","issue":"5","first_page":"947","last_page":"955"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995,"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":0.9995,"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":0.9991,"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":0.9991,"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/utterance","display_name":"Utterance","score":0.88945496},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4690609},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.45732558},{"id":"https://openalex.org/keywords/lexical-diversity","display_name":"Lexical Diversity","score":0.43338233}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.88945496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.88793},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.72656506},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.6379353},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.54348445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4909001},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4690609},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.45732558},{"id":"https://openalex.org/C2781202465","wikidata":"https://www.wikidata.org/wiki/Q18346297","display_name":"Lexical diversity","level":3,"score":0.43338233},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3952117},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2659274},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14666587},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12139282},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.08807123},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2019.p0947","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1883-8014","issn":["1883-8014","1343-0130"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2019.p0947","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1883-8014","issn":["1883-8014","1343-0130"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.72}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":8,"referenced_works":["https://openalex.org/W1964812476","https://openalex.org/W2077302143","https://openalex.org/W2093555081","https://openalex.org/W2097550833","https://openalex.org/W2587684252","https://openalex.org/W2605214337","https://openalex.org/W2803297684","https://openalex.org/W44395669"],"related_works":["https://openalex.org/W3185852197","https://openalex.org/W3107474891","https://openalex.org/W3022181580","https://openalex.org/W2886693075","https://openalex.org/W2885949735","https://openalex.org/W2587329402","https://openalex.org/W2435130738","https://openalex.org/W2395078704","https://openalex.org/W2081647779","https://openalex.org/W1566274093"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"efficient":[4],"method":[5,129,139,170,190],"to":[6,10,47,60,82,101,106,131,161,194],"build":[7,61,195],"a":[8,22,25,29,36,62,67,84,92,119,152,196],"corpus":[9,18,133,153,198],"train":[11],"natural":[12],"language":[13],"understanding":[14],"(NLU)":[15],"modules.":[16],"Conventional":[17],"creation":[19,134],"methods":[20],"involve":[21],"common":[23],"cycle:":[24],"subject":[26,34,43,93,98],"is":[27,99],"given":[28],"specific":[30],"situation":[31],"where":[32],"the":[33,42,49,88,97,108,127,137,141,168,172,182,188],"operates":[35],"device":[37],"by":[38,145,178],"voice,":[39],"and":[40,73,154,203],"then":[41],"speaks":[44,94],"one":[45,95],"utterance":[46],"execute":[48,107],"task.":[50,110],"In":[51,111],"these":[52],"methods,":[53],"many":[54,116],"subjects":[55,144,177],"are":[56],"required":[57],"in":[58,151],"order":[59],"large-scale":[63],"corpus,":[64],"which":[65],"causes":[66],"problem":[68],"of":[69,103,122,126,143],"increasing":[70],"lead":[71,201],"time":[72,174,202],"financial":[74,204],"cost.":[75,205],"To":[76],"solve":[77],"this":[78,112],"problem,":[79],"we":[80,114],"propose":[81],"incorporate":[83],"\u201cprobing":[85],"question\u201d":[86],"into":[87],"cycle.":[89],"Specifically,":[90],"after":[91],"utterance,":[96],"asked":[100],"think":[102],"alternative":[104],"utterances":[105,117,159],"same":[109],"way,":[113],"obtain":[115],"from":[118],"small":[120],"number":[121,142],"subjects.":[123],"An":[124],"evaluation":[125],"proposed":[128,138,169,189],"applied":[130],"interview-based":[132],"shows":[135,166],"that":[136,167,187],"reduces":[140,171],"41%":[146],"while":[147,199],"maintaining":[148],"morphological":[149,155],"diversity":[150],"coverage":[156],"for":[157,175],"user":[158],"spoken":[160],"commercial":[162],"devices.":[163],"It":[164],"also":[165],"total":[173],"interviewing":[176],"36%":[179],"compared":[180],"with":[181],"conventional":[183],"method.":[184],"We":[185],"conclude":[186],"can":[191],"be":[192],"used":[193],"useful":[197],"reducing":[200]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2974673938","counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-04-24T15:33:19.970650","created_date":"2019-09-26"}