{"id":"https://openalex.org/W3045692926","doi":"https://doi.org/10.1109/access.2020.3012539","title":"Extractive Document Summarization Based on Dynamic Feature Space Mapping","display_name":"Extractive Document Summarization Based on Dynamic Feature Space Mapping","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3045692926","doi":"https://doi.org/10.1109/access.2020.3012539","mag":"3045692926"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3012539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09151114.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09151114.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008357668","display_name":"Samira Ghodratnama","orcid":"https://orcid.org/0000-0002-4443-8333"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Samira Ghodratnama","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056293251","display_name":"Amin Beheshti","orcid":"https://orcid.org/0000-0002-5988-5494"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amin Beheshti","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044037621","display_name":"Mehrdad Zakershahrak","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehrdad Zakershahrak","raw_affiliation_strings":["ASU School of Computing, Informatics, and Decision Systems Engineering (CIDSE), Arizona State University, Tempe, USA"],"affiliations":[{"raw_affiliation_string":"ASU School of Computing, Informatics, and Decision Systems Engineering (CIDSE), Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018082882","display_name":"Fariborz Sobhanmanesh","orcid":null},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fariborz Sobhanmanesh","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008357668"],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.3904,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9532514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"139084","last_page":"139095"},"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":0.9997000098228455,"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":0.9976000189781189,"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":0.9002701044082642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8698346018791199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6249397397041321},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6012469530105591},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.49006879329681396},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4866672158241272},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45035725831985474},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42276108264923096},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41624966263771057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40006524324417114},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32673531770706177}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9002701044082642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8698346018791199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6249397397041321},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6012469530105591},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.49006879329681396},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4866672158241272},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45035725831985474},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42276108264923096},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41624966263771057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40006524324417114},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32673531770706177},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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":2,"locations":[{"id":"doi:10.1109/access.2020.3012539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09151114.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ab49a3360ed94326aa65d89eea177ffe","is_oa":true,"landing_page_url":"https://doaj.org/article/ab49a3360ed94326aa65d89eea177ffe","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 139084-139095 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3012539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09151114.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045692926.pdf","grobid_xml":"https://content.openalex.org/works/W3045692926.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W4742464","https://openalex.org/W192892443","https://openalex.org/W964815481","https://openalex.org/W1495207358","https://openalex.org/W1544827683","https://openalex.org/W1983362322","https://openalex.org/W1983781434","https://openalex.org/W1987971958","https://openalex.org/W2007407316","https://openalex.org/W2031832529","https://openalex.org/W2048207804","https://openalex.org/W2074765505","https://openalex.org/W2081056190","https://openalex.org/W2087573826","https://openalex.org/W2089616953","https://openalex.org/W2102269292","https://openalex.org/W2103705607","https://openalex.org/W2112077341","https://openalex.org/W2122410182","https://openalex.org/W2123442489","https://openalex.org/W2126895787","https://openalex.org/W2143205289","https://openalex.org/W2154652894","https://openalex.org/W2187151953","https://openalex.org/W2188685558","https://openalex.org/W2250386865","https://openalex.org/W2250539671","https://openalex.org/W2250968833","https://openalex.org/W2251911042","https://openalex.org/W2276623712","https://openalex.org/W2307381258","https://openalex.org/W2495196114","https://openalex.org/W2560654344","https://openalex.org/W2770805702","https://openalex.org/W2800965800","https://openalex.org/W2890419630","https://openalex.org/W2946185626","https://openalex.org/W2949615363","https://openalex.org/W2952138241","https://openalex.org/W2962762898","https://openalex.org/W2962972512","https://openalex.org/W2969323191","https://openalex.org/W2982863541","https://openalex.org/W2996151885","https://openalex.org/W2998478522","https://openalex.org/W2998919732","https://openalex.org/W3010871516","https://openalex.org/W3036234374","https://openalex.org/W3190101901","https://openalex.org/W6600169690","https://openalex.org/W6632455782","https://openalex.org/W6658439896","https://openalex.org/W6676817112","https://openalex.org/W6678577036","https://openalex.org/W6682631176","https://openalex.org/W6686542279","https://openalex.org/W6686739144","https://openalex.org/W6691733968","https://openalex.org/W6731948947","https://openalex.org/W6748715793","https://openalex.org/W6766905867"],"related_works":["https://openalex.org/W3164984162","https://openalex.org/W2104677027","https://openalex.org/W2902627734","https://openalex.org/W2112885393","https://openalex.org/W2173208124","https://openalex.org/W2568827738","https://openalex.org/W1990695371","https://openalex.org/W2365100044","https://openalex.org/W2099859325","https://openalex.org/W2474342320"],"abstract_inverted_index":{"The":[0,197],"exponential":[1],"growth":[2],"of":[3,24,61,71,104,113,124,153,168,207],"the":[4,9,26,34,69,76,101,105,111,122,136,151,157,176,179],"Web":[5],"documents":[6],"has":[7],"constituted":[8],"need":[10],"for":[11,94],"automatic":[12],"document":[13,19,95],"summarization.":[14],"In":[15,47],"this":[16,48,119],"context,":[17],"extractive":[18],"summarization,":[20],"i.e.,":[21],"that":[22,58,185,202],"task":[23],"extracting":[25],"most":[27,194],"relevant":[28],"information,":[29],"removing":[30],"redundancy":[31],"and":[32,40,64,83,90,171,181,210],"presenting":[33],"remained":[35],"data":[36],"in":[37,86,107,135,140,156],"a":[38,44,52,87,132],"coherent":[39],"cohesive":[41],"structure,":[42],"is":[43,75,131,146,205],"challenging":[45,133],"task.":[46,138],"article,":[49],"we":[50],"propose":[51],"novel":[53],"intelligent":[54],"approach,":[55],"namely":[56],"ExDoS,":[57],"harvests":[59],"benefits":[60],"both":[62,81,164],"supervised":[63,82],"unsupervised":[65,84],"algorithms":[66,85],"simultaneously.":[67],"To":[68],"best":[70],"our":[72,162,186,203],"knowledge,":[73],"ExDoS":[74,98,145],"first":[77],"approach":[78,120],"to":[79,126,142,149,193],"combine":[80],"single":[88],"framework":[89],"an":[91],"interpretable":[92],"manner":[93],"summarization":[96,137,158],"purpose.":[97],"iteratively":[99],"minimizes":[100],"error":[102],"rate":[103],"classifier":[106],"each":[108,128,154],"cluster":[109],"with":[110],"help":[112],"dynamic":[114],"local":[115],"feature":[116,155],"weighting.":[117],"Moreover,":[118],"specifies":[121],"contribution":[123],"features":[125],"discriminate":[127],"class,":[129],"which":[130],"issue":[134],"Therefore,":[139],"addition":[141],"summarizing":[143],"text,":[144],"also":[147,200],"able":[148],"measure":[150],"importance":[152],"process.":[159],"We":[160],"evaluate":[161],"model":[163,187,204],"automatically":[165],"(in":[166],"terms":[167],"ROUGE":[169,190],"factor)":[170],"empirically":[172],"(human":[173],"analysis)":[174],"on":[175],"benchmark":[177],"datasets:":[178],"DUC2002":[180],"CNN/DailyMail.":[182],"Results":[183],"show":[184],"obtains":[188],"higher":[189],"scores":[191],"comparing":[192],"state-of-the-art":[195],"models.":[196],"human":[198],"evaluation":[199],"demonstrates":[201],"capable":[206],"generating":[208],"informative":[209],"readable":[211],"summaries.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}