{"id":"https://openalex.org/W4297802393","doi":"https://doi.org/10.1109/icis54925.2022.9882349","title":"Research on Text Generation of Medical Intelligent Question and Answer Based on Bi-LSTM and Neural Network Technology","display_name":"Research on Text Generation of Medical Intelligent Question and Answer Based on Bi-LSTM and Neural Network Technology","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4297802393","doi":"https://doi.org/10.1109/icis54925.2022.9882349"},"language":"en","primary_location":{"id":"doi:10.1109/icis54925.2022.9882349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis54925.2022.9882349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS)","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/A5039142905","display_name":"Keyi Huang","orcid":"https://orcid.org/0009-0007-5405-4038"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Keyi Huang","raw_affiliation_strings":["Zhuhai College of Science and Technology,Alibaba Cloud Big Data Application Academy,Zhuhai,China","Alibaba Cloud Big Data Application Academy, Zhuhai College of Science and Technology, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Zhuhai College of Science and Technology,Alibaba Cloud Big Data Application Academy,Zhuhai,China","institution_ids":[]},{"raw_affiliation_string":"Alibaba Cloud Big Data Application Academy, Zhuhai College of Science and Technology, Zhuhai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013959706","display_name":"Fenda Ji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fenda Ji","raw_affiliation_strings":["Zhuhai College of Science and Technology,Alibaba Cloud Big Data Application Academy,Zhuhai,China","Alibaba Cloud Big Data Application Academy, Zhuhai College of Science and Technology, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Zhuhai College of Science and Technology,Alibaba Cloud Big Data Application Academy,Zhuhai,China","institution_ids":[]},{"raw_affiliation_string":"Alibaba Cloud Big Data Application Academy, Zhuhai College of Science and Technology, Zhuhai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005328001","display_name":"Wei L\u00fc","orcid":"https://orcid.org/0000-0003-0829-5440"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["Zhuhai College of Science and Technology,Alibaba Cloud Big Data Application Academy,Zhuhai,China","Alibaba Cloud Big Data Application Academy, Zhuhai College of Science and Technology, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Zhuhai College of Science and Technology,Alibaba Cloud Big Data Application Academy,Zhuhai,China","institution_ids":[]},{"raw_affiliation_string":"Alibaba Cloud Big Data Application Academy, Zhuhai College of Science and Technology, Zhuhai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100738542","display_name":"Yue Xiao","orcid":"https://orcid.org/0000-0002-2836-2906"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Xiao","raw_affiliation_strings":["Zhuhai College of Science and Technology,Alibaba Cloud Big Data Application Academy,Zhuhai,China","Alibaba Cloud Big Data Application Academy, Zhuhai College of Science and Technology, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Zhuhai College of Science and Technology,Alibaba Cloud Big Data Application Academy,Zhuhai,China","institution_ids":[]},{"raw_affiliation_string":"Alibaba Cloud Big Data Application Academy, Zhuhai College of Science and Technology, Zhuhai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039142905"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.928,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78907773,"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":"54","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9923999905586243,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9305999875068665,"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":0.787993311882019},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.7283424139022827},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7212744951248169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6885843873023987},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6795432567596436},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6155948638916016},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5373474955558777},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.494521826505661},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49322837591171265},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.4423452615737915},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.43201589584350586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3686656057834625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.787993311882019},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.7283424139022827},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7212744951248169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6885843873023987},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6795432567596436},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6155948638916016},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5373474955558777},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.494521826505661},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49322837591171265},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.4423452615737915},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.43201589584350586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3686656057834625},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis54925.2022.9882349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis54925.2022.9882349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W632432350","https://openalex.org/W2054070929","https://openalex.org/W2349536014","https://openalex.org/W2402268235","https://openalex.org/W2566370974","https://openalex.org/W2791103749","https://openalex.org/W2799900537","https://openalex.org/W2963541420","https://openalex.org/W2972785004","https://openalex.org/W3004731381","https://openalex.org/W3048173824","https://openalex.org/W3081920396","https://openalex.org/W3171960783","https://openalex.org/W6745910440"],"related_works":["https://openalex.org/W128392744","https://openalex.org/W3107474891","https://openalex.org/W4312200629","https://openalex.org/W4223943233","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4309045103","https://openalex.org/W4225161397","https://openalex.org/W4312831135","https://openalex.org/W3032726843"],"abstract_inverted_index":{"Text":[0,24],"generation":[1,25,92,111],"is":[2,48,54,170],"a":[3,85,104,114,125,138],"popular":[4],"research":[5,212],"direction":[6,216],"in":[7,20,32,74,97,143,192,208],"the":[8,21,43,69,101,109,122,131,164,182,187,193,197],"field":[9,76],"of":[10,45,71,189],"natural":[11],"language":[12],"processing":[13],"as":[14,16,113],"well":[15,205],"artificial":[17],"intelligence,":[18],"especially":[19],"medical":[22,33,75,90,128,151,160,219],"field.":[23],"technology":[26],"plays":[27],"an":[28,214],"extremely":[29],"important":[30],"role":[31],"intelligent":[34,220],"question":[35,221],"and":[36,53,77,119,158,177,206,223],"answer":[37,202],"systems.":[38],"In":[39,64],"previous":[40],"Q&A":[41,52,73],"systems,":[42],"display":[44],"generated":[46,194],"dialogues":[47],"usually":[49],"limited":[50],"to":[51,56,58,67,89,99],"difficult":[55],"adapt":[57],"vertical":[59],"domains":[60],"with":[61,80,121,141],"strong":[62],"characteristics.":[63],"this":[65,144,211],"paper,":[66],"solve":[68,186],"task":[70,102],"specialized":[72],"provide":[78],"users":[79],"comprehensive":[81],"answers.":[82,195],"We":[83],"propose":[84],"TensorFlow":[86],"architecture-based":[87],"approach":[88],"text":[91,110,224],"that":[93,134,172],"uses":[94],"sequential":[95],"models":[96],"Keras":[98],"transform":[100],"into":[103,175,181],"classification":[105],"problem":[106,112,188],"by":[107],"treating":[108],"prediction":[115],"problem.":[116],"By":[117],"training":[118],"experimenting":[120],"model":[123,136,148,183,198],"on":[124],"large-scale":[126],"Chinese":[127],"question-and-answer":[129],"dataset,":[130],"results":[132],"show":[133],"our":[135],"has":[137],"good":[139],"fit":[140],"applications":[142],"specific":[145],"domain.":[146],"The":[147],"can":[149,184,201],"aggregate":[150],"domain":[152],"knowledge,":[153],"extract":[154],"useful":[155],"treatment":[156],"information":[157],"generate":[159],"knowledge":[161],"text.":[162],"At":[163],"same":[165],"time,":[166],"through":[167],"research,":[168],"it":[169],"found":[171],"splitting":[173],"questions":[174,204],"phrases":[176],"then":[178],"inputting":[179],"them":[180],"effectively":[185],"repeated":[190],"sentences":[191],"Since":[196],"we":[199],"proposed":[200],"patients'":[203],"accurately":[207],"most":[209],"cases,":[210],"provides":[213],"improvement":[215],"for":[217],"exploring":[218],"answering":[222],"generation.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}