{"id":"https://openalex.org/W4388821037","doi":"https://doi.org/10.1109/apsipaasc58517.2023.10317470","title":"Question Answering System Based on Pre-Training Model and Retrieval Reranking for Industry 4.0","display_name":"Question Answering System Based on Pre-Training Model and Retrieval Reranking for Industry 4.0","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388821037","doi":"https://doi.org/10.1109/apsipaasc58517.2023.10317470"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc58517.2023.10317470","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/apsipaasc58517.2023.10317470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5004042454","display_name":"Ta\u2010Fu Chen","orcid":"https://orcid.org/0000-0003-1988-6924"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ta-Fu Chen","raw_affiliation_strings":["National Central University,Department of CSIE,Taoyuan City,Taiwan","Department of CSIE, National Central University, Taoyuan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University,Department of CSIE,Taoyuan City,Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Department of CSIE, National Central University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078545323","display_name":"Yi-Xing Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Xing Lin","raw_affiliation_strings":["National Central University,Department of CSIE,Taoyuan City,Taiwan","Department of CSIE, National Central University, Taoyuan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University,Department of CSIE,Taoyuan City,Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Department of CSIE, National Central University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091093449","display_name":"Ming-Hsiang Su","orcid":"https://orcid.org/0000-0003-0633-774X"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hsiang Su","raw_affiliation_strings":["Soochow University,Department of Data Science,Taipei City,Taiwan","Department of Data Science, Soochow University, Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Soochow University,Department of Data Science,Taipei City,Taiwan","institution_ids":["https://openalex.org/I185940356"]},{"raw_affiliation_string":"Department of Data Science, Soochow University, Taipei City, Taiwan","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Po-Kai Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Kai Chen","raw_affiliation_strings":["National Central University,Department of CSIE,Taoyuan City,Taiwan","Department of CSIE, National Central University, Taoyuan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University,Department of CSIE,Taoyuan City,Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Department of CSIE, National Central University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102157785","display_name":"Tzu-Chiang Tai","orcid":null},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Chiang Tai","raw_affiliation_strings":["Providence University,Department of CSIE,Taichung,Taiwan","Department of CSIE, Providence University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Providence University,Department of CSIE,Taichung,Taiwan","institution_ids":["https://openalex.org/I177918364"]},{"raw_affiliation_string":"Department of CSIE, Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029325015","display_name":"Jia\u2010Ching Wang","orcid":"https://orcid.org/0000-0003-0024-6732"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jia-Ching Wang","raw_affiliation_strings":["National Central University,Department of CSIE,Taoyuan City,Taiwan","Department of CSIE, National Central University, Taoyuan City, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University,Department of CSIE,Taoyuan City,Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Department of CSIE, National Central University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004042454"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15363141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2178","last_page":"2181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9817000031471252,"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":0.9817000031471252,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9702000021934509,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9613999724388123,"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":0.792943000793457},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.6839190125465393},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6455302238464355},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6448237895965576},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5244603157043457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4654548764228821},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4565543532371521},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.41887426376342773},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4144352078437805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41437435150146484},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4094317853450775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792943000793457},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.6839190125465393},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6455302238464355},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6448237895965576},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5244603157043457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4654548764228821},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4565543532371521},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.41887426376342773},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4144352078437805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41437435150146484},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4094317853450775},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc58517.2023.10317470","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/apsipaasc58517.2023.10317470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2495998536","https://openalex.org/W2564196411","https://openalex.org/W2806081754","https://openalex.org/W2949847757","https://openalex.org/W2951434086","https://openalex.org/W2952370363","https://openalex.org/W3089645742","https://openalex.org/W3106031450","https://openalex.org/W3210877910","https://openalex.org/W3216675860","https://openalex.org/W6723646743","https://openalex.org/W6752148829","https://openalex.org/W6766673545","https://openalex.org/W6786299064"],"related_works":["https://openalex.org/W2057057690","https://openalex.org/W2368184788","https://openalex.org/W2358964818","https://openalex.org/W2359535128","https://openalex.org/W2395929705","https://openalex.org/W3134247745","https://openalex.org/W4226243593","https://openalex.org/W2381332051","https://openalex.org/W2372304001","https://openalex.org/W4375958074"],"abstract_inverted_index":{"By":[0],"providing":[1],"enhanced":[2],"knowledge":[3,39],"retrieval":[4,84],"capabilities,":[5],"real-time":[6],"decision":[7],"support,":[8],"and":[9,25,55,69,85,89,107,111],"efficient":[10],"information":[11],"exchange,":[12],"question":[13],"answering":[14],"(QA)":[15],"systems":[16,35],"play":[17],"a":[18,37,64],"crucial":[19],"role":[20],"in":[21,27],"driving":[22],"productivity,":[23],"efficiency,":[24],"innovation":[26],"Industry":[28],"4.0.":[29],"Today's":[30],"most":[31],"reliable":[32],"knowledge-based":[33],"QA":[34],"require":[36],"large":[38],"base,":[40],"which":[41],"tends":[42],"to":[43,50,81],"consume":[44],"more":[45],"reasoning":[46],"time.":[47],"In":[48],"order":[49],"improve":[51,86],"the":[52,59,67,72,98,103,109,114],"inference":[53],"speed":[54],"response":[56,105],"accuracy":[57,110],"of":[58,71,113],"system,":[60],"this":[61],"paper":[62],"adds":[63],"Reranker":[65],"between":[66],"Retriever":[68],"Reader":[70],"traditional":[73],"two-stage":[74],"mechanism.":[75],"This":[76],"study":[77],"uses":[78],"pretrained":[79],"Roberta":[80],"perform":[82],"system":[83,100,104],"data":[87],"processing":[88],"training":[90],"methods.":[91],"Experiments":[92],"on":[93],"Chinese":[94],"Wikipedia":[95],"show":[96],"that":[97],"proposed":[99],"significantly":[101],"reduces":[102],"time":[106],"improves":[108],"scope":[112],"response.":[115]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}