{"id":"https://openalex.org/W4399254353","doi":"https://doi.org/10.1145/3660395.3660464","title":"Research on Text Abstract Algorithm Based on Pre trained Large Model","display_name":"Research on Text Abstract Algorithm Based on Pre trained Large Model","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399254353","doi":"https://doi.org/10.1145/3660395.3660464"},"language":"en","primary_location":{"id":"doi:10.1145/3660395.3660464","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660395.3660464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum","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/A5075716699","display_name":"Weiping Song","orcid":"https://orcid.org/0009-0002-3005-7449"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiping Song","raw_affiliation_strings":["Aostar Information Technologies Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0002-3005-7449","affiliations":[{"raw_affiliation_string":"Aostar Information Technologies Co., Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055753632","display_name":"Huanhuan Li","orcid":"https://orcid.org/0009-0006-6443-132X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huanhuan Li","raw_affiliation_strings":["Aostar Information Technologies Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0006-6443-132X","affiliations":[{"raw_affiliation_string":"Aostar Information Technologies Co., Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045103415","display_name":"Xiaoyun Xu","orcid":"https://orcid.org/0009-0006-0123-3844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyun Xu","raw_affiliation_strings":["Aostar Information Technologies Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0006-0123-3844","affiliations":[{"raw_affiliation_string":"Aostar Information Technologies Co., Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011621215","display_name":"Ping Yang","orcid":"https://orcid.org/0009-0003-6502-3537"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping Yang","raw_affiliation_strings":["Aostar Information Technologies Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0003-6502-3537","affiliations":[{"raw_affiliation_string":"Aostar Information Technologies Co., Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101548393","display_name":"Fan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Aostar Information Technologies Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0008-1166-4511","affiliations":[{"raw_affiliation_string":"Aostar Information Technologies Co., Ltd, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052580450","display_name":"Dajian Deng","orcid":"https://orcid.org/0009-0000-0344-3753"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dajian Deng","raw_affiliation_strings":["Aostar Information Technologies Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0000-0344-3753","affiliations":[{"raw_affiliation_string":"Aostar Information Technologies Co., Ltd, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22296661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"405","last_page":"409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.8622000217437744,"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":0.8622000217437744,"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":0.8461999893188477,"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":0.8993852138519287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.797378420829773},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6499362587928772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6101402044296265},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5907328724861145},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.5406548380851746},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.5261178612709045},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5256651043891907},{"id":"https://openalex.org/keywords/text-graph","display_name":"Text graph","score":0.41414710879325867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.352348268032074},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3316475749015808},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07856675982475281}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8993852138519287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.797378420829773},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6499362587928772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6101402044296265},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5907328724861145},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.5406548380851746},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.5261178612709045},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5256651043891907},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.41414710879325867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.352348268032074},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3316475749015808},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07856675982475281},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3660395.3660464","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3660395.3660464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4234552385","https://openalex.org/W6608040171","https://openalex.org/W6650468252"],"related_works":["https://openalex.org/W2996251560","https://openalex.org/W2986470681","https://openalex.org/W4238363396","https://openalex.org/W4385234707","https://openalex.org/W2590756584","https://openalex.org/W2126232808","https://openalex.org/W4283069128","https://openalex.org/W2359511970","https://openalex.org/W3010337296","https://openalex.org/W4206715480"],"abstract_inverted_index":{"As":[0],"society":[1],"enters":[2],"the":[3,18,31,42,84,92,95,113],"era":[4],"of":[5,20,44,115],"big":[6],"data,":[7],"text":[8,23,46,54,75,109,116],"summarization":[9],"tasks":[10],"are":[11],"increasingly":[12],"receiving":[13],"attention":[14],"from":[15],"researchers,":[16],"with":[17],"goal":[19],"generating":[21],"short":[22],"summaries":[24],"that":[25,103],"can":[26,106],"succinctly":[27],"and":[28,48,62,78,97],"accurately":[29],"reflect":[30],"original":[32],"meaning":[33],"for":[34,52],"longer":[35],"texts.":[36],"This":[37],"article":[38],"is":[39],"based":[40,56],"on":[41,57],"requirement":[43],"extracting":[45,53],"abstracts":[47,55,110],"proposes":[49],"a":[50,58,69],"model":[51,67,93],"pre":[59,70],"training":[60,71,96],"framework":[61,72],"introducing":[63],"comparative":[64,80],"learning.":[65],"The":[66],"utilizes":[68],"to":[73,82],"capture":[74],"semantics":[76],"well,":[77],"uses":[79],"learning":[81],"solve":[83],"exposure":[85],"bias":[86],"problem":[87],"caused":[88],"by":[89],"differences":[90],"between":[91],"in":[94],"inference":[98],"stages.":[99],"Experiments":[100],"have":[101],"shown":[102],"this":[104],"algorithm":[105],"effectively":[107],"extract":[108],"while":[111],"improving":[112],"efficiency":[114],"extraction.":[117]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
