{"id":"https://openalex.org/W4390188485","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361507","title":"Text Summarization Generation Based on Improved Transformer Model","display_name":"Text Summarization Generation Based on Improved Transformer Model","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4390188485","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361507"},"language":"en","primary_location":{"id":"doi:10.1109/dasc/picom/cbdcom/cy59711.2023.10361507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102596846","display_name":"Jingsong Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsong Lin","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China,350116"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China,350116","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052989449","display_name":"Xiaodong Guo","orcid":"https://orcid.org/0009-0004-7988-5661"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Guo","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China,350116"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China,350116","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067332736","display_name":"Chen Dong","orcid":"https://orcid.org/0000-0001-7546-3403"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Dong","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China,350116"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China,350116","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058647519","display_name":"Chenxi Lyu","orcid":"https://orcid.org/0000-0002-7727-5518"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Lyu","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China,350116"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China,350116","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030884513","display_name":"Li Xu","orcid":"https://orcid.org/0000-0002-8972-3373"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xu","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Normal University,Fuzhou,China,350007"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Normal University,Fuzhou,China,350007","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081579818","display_name":"Zhenyi Chen","orcid":"https://orcid.org/0000-0001-9498-4300"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenyi Chen","raw_affiliation_strings":["University of South Florida,Department of Computer Science and Engineering,Tampa,FL,USA,33620"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Florida,Department of Computer Science and Engineering,Tampa,FL,USA,33620","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"0831","last_page":"0836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9789000153541565,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9232000112533569,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9735090732574463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8751763701438904},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.6870196461677551},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.6235306859016418},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5706238746643066},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5480995774269104},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4947752356529236},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.45990630984306335},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44134873151779175},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4330886900424957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42044970393180847},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21719852089881897}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9735090732574463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8751763701438904},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.6870196461677551},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.6235306859016418},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5706238746643066},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5480995774269104},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4947752356529236},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.45990630984306335},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44134873151779175},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4330886900424957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42044970393180847},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21719852089881897},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasc/picom/cbdcom/cy59711.2023.10361507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G2447469041","display_name":null,"funder_award_id":"62372110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3016091129","display_name":null,"funder_award_id":"2020J01500","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2154652894","https://openalex.org/W2564128506","https://openalex.org/W2606974598","https://openalex.org/W2944754177","https://openalex.org/W2962965405","https://openalex.org/W2962996600","https://openalex.org/W2964165364","https://openalex.org/W2965905350","https://openalex.org/W2974528752","https://openalex.org/W3000466293","https://openalex.org/W3004998147","https://openalex.org/W3084156520","https://openalex.org/W3198134704","https://openalex.org/W4321381426","https://openalex.org/W4365460654","https://openalex.org/W4376113228","https://openalex.org/W4380032329","https://openalex.org/W4383046953","https://openalex.org/W4383181141","https://openalex.org/W4385064491","https://openalex.org/W4385245566","https://openalex.org/W4388144271","https://openalex.org/W6682631176","https://openalex.org/W6739901393","https://openalex.org/W6891844060"],"related_works":["https://openalex.org/W2104677027","https://openalex.org/W3164984162","https://openalex.org/W2902627734","https://openalex.org/W2112885393","https://openalex.org/W1990695371","https://openalex.org/W2173208124","https://openalex.org/W2099859325","https://openalex.org/W2065541085","https://openalex.org/W2568827738","https://openalex.org/W2365100044"],"abstract_inverted_index":{"In":[0,39,66,99],"the":[1,6,40,52,58,108,121,126,131,139,142,146,159,168,196],"era":[2],"of":[3,8,21,28,42,141,198],"big":[4],"data,":[5],"number":[7],"internet":[9],"users":[10],"is":[11,62,104,118,135],"increasing":[12],"yearly,":[13],"and":[14,56,78,113,167,188],"each":[15],"user":[16],"receives":[17],"a":[18,63,114],"massive":[19,29],"amount":[20],"information":[22,103,116],"every":[23],"day.":[24],"The":[25,154],"low-value":[26],"density":[27],"text":[30,45,67,109,150],"data":[31],"makes":[32],"it":[33],"difficult":[34],"to":[35,81,106,120,123,137,194],"utilize":[36],"its":[37],"information.":[38],"face":[41],"this":[43,100],"problem,":[44],"summarization":[46,68,71,110,127,151],"generation":[47,111,128],"technology":[48],"that":[49,158],"can":[50,176],"extract":[51],"paper's":[53,59],"leading":[54],"content":[55],"condense":[57],"main":[60],"idea":[61],"powerful":[64],"solution.":[65],"generation,":[69],"abstractive":[70,199],"techniques":[72,193],"with":[73],"high":[74],"readability,":[75],"clear":[76],"expression,":[77],"closer":[79],"proximity":[80],"human":[82],"language":[83],"habits":[84],"are":[85],"often":[86],"favored.":[87],"However,":[88],"mainstream":[89],"technologies":[90],"still":[91],"have":[92,171],"issues":[93],"like":[94],"summarizations'":[95],"detachment":[96],"from":[97],"focus.":[98],"paper,":[101],"keyword":[102,115,165,186,191],"employed":[105],"join":[107],"task,":[112],"module":[117],"added":[119],"Transformer":[122],"better":[124,178],"perform":[125],"task.":[129],"Finally,":[130],"ROUGE":[132],"evaluation":[133],"standard":[134],"used":[136],"compare":[138],"performance":[140],"above":[143],"models":[144],"on":[145],"large-scale":[147],"Chinese":[148],"short":[149],"(LCSTS)":[152],"dataset.":[153],"experimental":[155],"results":[156],"show":[157],"model":[160,179],"generates":[161],"higher-quality":[162],"summarizations":[163],"using":[164],"information,":[166,187],"related":[169],"methods":[170,183],"considerable":[172],"potential.":[173],"Future":[174],"work":[175],"explore":[177],"structures,":[180],"more":[181,189],"suitable":[182],"for":[184],"utilizing":[185],"accurate":[190],"extraction":[192],"improve":[195],"quality":[197],"summarizations.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}