{"id":"https://openalex.org/W4312250897","doi":"https://doi.org/10.1109/ijcnn55064.2022.9891982","title":"Decoupled Extractive Summarization as Graph Nodes Pruning","display_name":"Decoupled Extractive Summarization as Graph Nodes Pruning","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312250897","doi":"https://doi.org/10.1109/ijcnn55064.2022.9891982"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9891982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9891982","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5034066712","display_name":"Hanwei Wang","orcid":"https://orcid.org/0000-0001-8242-7806"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanwei Wang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences","School of Cyber Security, University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061435467","display_name":"Piji Li","orcid":"https://orcid.org/0000-0003-1474-3692"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Piji Li","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627572","display_name":"Yanan Cao","orcid":"https://orcid.org/0000-0003-3534-1094"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Cao","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091549942","display_name":"Ruipeng Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruipeng Jia","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences","School of Cyber Security, University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367752","display_name":"Hailong Wang","orcid":"https://orcid.org/0000-0002-6107-5095"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Hai-long","raw_affiliation_strings":["Chinese Academy of Cyberspace Studies"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Cyberspace Studies","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070975210","display_name":"Li Yang-chun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Yang-chun","raw_affiliation_strings":["Chinese Academy of Cyberspace Studies"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Cyberspace Studies","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034066712"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3143719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9994999766349792,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"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":0.8983755111694336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7921352982521057},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6955175995826721},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5667340755462646},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5631344318389893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5472599267959595},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.4625861346721649},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4363337457180023},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4219539761543274},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42080527544021606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40907788276672363}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8983755111694336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7921352982521057},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6955175995826721},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5667340755462646},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5631344318389893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5472599267959595},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.4625861346721649},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4363337457180023},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4219539761543274},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42080527544021606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40907788276672363},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9891982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9891982","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6846993117","display_name":null,"funder_award_id":"2021YFB3101300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1520857482","https://openalex.org/W1525595230","https://openalex.org/W2017187090","https://openalex.org/W2110693578","https://openalex.org/W2154652894","https://openalex.org/W2307381258","https://openalex.org/W2612675303","https://openalex.org/W2792059528","https://openalex.org/W2799149803","https://openalex.org/W2803930360","https://openalex.org/W2888556271","https://openalex.org/W2889518897","https://openalex.org/W2890419630","https://openalex.org/W2896457183","https://openalex.org/W2896807716","https://openalex.org/W2949615363","https://openalex.org/W2952138241","https://openalex.org/W2952215948","https://openalex.org/W2962785754","https://openalex.org/W2962965405","https://openalex.org/W2962972512","https://openalex.org/W2962985882","https://openalex.org/W2963125472","https://openalex.org/W2963245897","https://openalex.org/W2963348916","https://openalex.org/W2963929190","https://openalex.org/W2963968665","https://openalex.org/W2965373594","https://openalex.org/W2970060597","https://openalex.org/W2970419734","https://openalex.org/W2970830889","https://openalex.org/W2998559045","https://openalex.org/W3034353423","https://openalex.org/W3034961030","https://openalex.org/W3035050380","https://openalex.org/W3100053428","https://openalex.org/W3117801652","https://openalex.org/W3152821919","https://openalex.org/W3158986179","https://openalex.org/W3170083118","https://openalex.org/W3174370885","https://openalex.org/W4385245566","https://openalex.org/W6631167871","https://openalex.org/W6631501603","https://openalex.org/W6632455782","https://openalex.org/W6682631176","https://openalex.org/W6767018628"],"related_works":["https://openalex.org/W2573170368","https://openalex.org/W2042385281","https://openalex.org/W2104752822","https://openalex.org/W2330186386","https://openalex.org/W2347941600","https://openalex.org/W2401226416","https://openalex.org/W2035950535","https://openalex.org/W2159202754","https://openalex.org/W2360069342","https://openalex.org/W2579653291"],"abstract_inverted_index":{"In":[0,80],"this":[1,14,81],"paper,":[2],"we":[3,43,83,139],"formulate":[4],"the":[5,38,45,73,116,121,132,137,162],"extractive":[6],"summarization":[7,47,89],"as":[8,18],"a":[9,25,64,85],"new":[10],"paradigm,":[11],"in":[12],"which":[13,71,92],"task":[15],"is":[16,63,102],"regarded":[17],"node":[19],"pruning":[20,51,54,60,95,100,149],"and":[21,29,78,96,111,134,145,158],"aims":[22],"to":[23,119],"retain":[24],"set":[26],"of":[27,35,107,123,164],"nodes":[28,55,62,114,125],"prune":[30],"other":[31],"irrelevant":[32],"nodes.":[33],"Instead":[34],"directly":[36],"modeling":[37],"complicated":[39],"dependency":[40],"between":[41,136],"sentences,":[42,138],"decouple":[44,131],"one-step":[46],"objective":[48],"into":[49],"multi":[50],"steps.":[52],"Intuitively,":[53],"with":[56,67,105],"low":[57],"salience":[58,94,133],"then":[59],"redundant":[61],"similar":[65],"scheme":[66],"hand-craft":[68],"summary":[69,74],"generation,":[70],"makes":[72],"generation":[75],"more":[76],"interpretable":[77],"effective.":[79],"way,":[82],"propose":[84],"novel":[86],"method":[87,166],"for":[88,147],"called":[90],"Prun-Sum,":[91],"contains":[93],"redundancy":[97,135],"pruning.":[98],"Our":[99],"approach":[101],"further":[103],"enhanced":[104],"assistance":[106],"powerful":[108],"heterogeneous":[109],"graph,":[110],"prunes":[112],"some":[113],"during":[115],"graph":[117,143],"updating":[118],"avoid":[120],"influence":[122],"negative":[124],"on":[126,153],"sentence":[127],"relationship":[128],"modeling.":[129],"To":[130],"explicitly":[140],"designed":[141],"different":[142],"structures":[144],"labels":[146],"each":[148],"process.":[150],"Experiments":[151],"results":[152],"two":[154],"benchmark":[155],"datasets":[156],"(CNN/DM":[157],"NYT50)":[159],"show":[160],"that":[161],"performance":[163],"our":[165],"outperforms":[167],"several":[168],"state-of-the-art":[169],"methods.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}