{"id":"https://openalex.org/W3197324255","doi":"https://doi.org/10.18293/seke2021-084","title":"Complementary Representation of ALBERT for Text Summarization","display_name":"Complementary Representation of ALBERT for Text Summarization","publication_year":2021,"publication_date":"2021-07-10","ids":{"openalex":"https://openalex.org/W3197324255","doi":"https://doi.org/10.18293/seke2021-084","mag":"3197324255"},"language":"en","primary_location":{"id":"doi:10.18293/seke2021-084","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-084","pdf_url":"https://doi.org/10.18293/seke2021-084","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2021-084","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wenying Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenying Guo","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64275876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2021","issue":null,"first_page":"592","last_page":"597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9843000173568726,"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":0.9843000173568726,"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":0.9793999791145325,"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":0.9474999904632568,"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":0.9105446338653564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6805880069732666},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.612600564956665},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5282896161079407},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49877023696899414},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.46236613392829895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4057372808456421}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9105446338653564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6805880069732666},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.612600564956665},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5282896161079407},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49877023696899414},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.46236613392829895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4057372808456421},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2021-084","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-084","pdf_url":"https://doi.org/10.18293/seke2021-084","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2021-084","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2021-084","pdf_url":"https://doi.org/10.18293/seke2021-084","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2273800250","display_name":null,"funder_award_id":"NSFC-","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2389638903","display_name":null,"funder_award_id":"2018YFC0831500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3133715941","display_name":null,"funder_award_id":"U1936220","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3413305167","display_name":null,"funder_award_id":"61972047","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3915844376","display_name":null,"funder_award_id":"61972047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4811743277","display_name":null,"funder_award_id":"2018YFC","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6687479257","display_name":null,"funder_award_id":"U1936220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7208197312","display_name":null,"funder_award_id":"2018YFC0831500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197324255.pdf","grobid_xml":"https://content.openalex.org/works/W3197324255.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W303217050","https://openalex.org/W1843891098","https://openalex.org/W2574535369","https://openalex.org/W2606974598","https://openalex.org/W2788283780","https://openalex.org/W2888482885","https://openalex.org/W2896457183","https://openalex.org/W2896807716","https://openalex.org/W2897139265","https://openalex.org/W2904631866","https://openalex.org/W2945918281","https://openalex.org/W2946417913","https://openalex.org/W2948947170","https://openalex.org/W2952138241","https://openalex.org/W2962785754","https://openalex.org/W2962965405","https://openalex.org/W2962972512","https://openalex.org/W2962985882","https://openalex.org/W2965373594","https://openalex.org/W2969740599","https://openalex.org/W2970419734","https://openalex.org/W2975059944","https://openalex.org/W2976106086","https://openalex.org/W2985619053","https://openalex.org/W2996428491","https://openalex.org/W3006881356","https://openalex.org/W3019556061","https://openalex.org/W3019713789","https://openalex.org/W3034353423","https://openalex.org/W3034961030","https://openalex.org/W3035050380","https://openalex.org/W3081154351","https://openalex.org/W3118485687","https://openalex.org/W4288631803","https://openalex.org/W6762537594","https://openalex.org/W6763121668","https://openalex.org/W6776652205","https://openalex.org/W6782464586"],"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":{"Pretraining":[0],"has":[1],"proved":[2],"to":[3,8,26,147],"be":[4,24],"an":[5],"effective":[6],"strategy":[7],"learn":[9],"the":[10,13,19,46,54,66,90,102,132,144],"parameters":[11],"of":[12,53,69,104,134],"deep":[14],"neural":[15],"network.":[16],"It":[17],"captures":[18],"world":[20],"knowledge":[21,87],"that":[22,61,161],"can":[23,117],"adapted":[25],"downstream":[27],"tasks.":[28],"Text":[29],"summarization":[30],"based":[31],"on":[32,153],"ALBERT":[33,92],"[1]":[34],"outperformed":[35],"previous":[36,98],"work":[37],"by":[38,107,137],"a":[39,50,77],"large":[40],"margin.":[41],"However,":[42],"they":[43],"only":[44],"use":[45],"final":[47],"layer":[48,136],"as":[49],"contextualized":[51],"representation":[52],"input":[55],"text.":[56],"Multiple":[57],"studies":[58],"have":[59],"proven":[60],"intermediate":[62],"layers":[63,106],"also":[64],"encode":[65],"rich":[67],"hierarchy":[68],"linguistic":[70,86],"information.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75,100],"propose":[76],"Fast":[78],"Complementary":[79],"Representation":[80],"Network":[81],"(FCRN),":[82],"which":[83,116],"dynamically":[84],"incorporates":[85],"spread":[88],"across":[89],"entire":[91],"for":[93],"extractive":[94],"selection.":[95],"Different":[96],"from":[97],"work,":[99],"measure":[101],"importance":[103,133],"hidden":[105],"all":[108,113],"sentence":[109,138],"representations":[110],"rather":[111],"than":[112],"token":[114],"embeddings,":[115],"filter":[118],"nonsignificant":[119],"words":[120],"and":[121,140,155],"takes":[122],"six":[123],"times":[124],"less":[125],"time":[126],"during":[127],"training.":[128],"FCRN":[129],"first":[130],"obtains":[131,164],"each":[135],"embeddings":[139],"then":[141],"automatically":[142],"absorbs":[143],"supplementary":[145],"information":[146],"ALBERT's":[148],"output.":[149],"We":[150],"conduct":[151],"experiments":[152],"CNN/DailyMail":[154],"XSum":[156],"datasets.":[157],"The":[158],"results":[159],"show":[160],"our":[162],"model":[163],"higher":[165],"ROUGE":[166],"scores.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}