{"id":"https://openalex.org/W3163958022","doi":"https://doi.org/10.1109/tpami.2021.3085738","title":"Efficient Relational Sentence Ordering Network","display_name":"Efficient Relational Sentence Ordering Network","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3163958022","doi":"https://doi.org/10.1109/tpami.2021.3085738","mag":"3163958022","pmid":"https://pubmed.ncbi.nlm.nih.gov/34061736"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3085738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3085738","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101465136","display_name":"Yingming Li","orcid":"https://orcid.org/0000-0001-6859-9038"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingming Li","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081852317","display_name":"Baiyun Cui","orcid":"https://orcid.org/0000-0001-8491-1335"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baiyun Cui","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036747535","display_name":"Zhongfei Zhang","orcid":"https://orcid.org/0000-0001-5098-2506"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongfei Zhang","raw_affiliation_strings":["Computer Science Department, Binghamton University, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101465136"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.9518,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79750062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"44","issue":"10","first_page":"6169","last_page":"6183"},"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":0.9995999932289124,"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":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8658016920089722},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.8095369935035706},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.6591178774833679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6167070269584656},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6142258644104004},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6046836972236633},{"id":"https://openalex.org/keywords/pointer","display_name":"Pointer (user interface)","score":0.5650531053543091},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.543917179107666},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.48139312863349915},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.443227618932724},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.43401217460632324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8658016920089722},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8095369935035706},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.6591178774833679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6167070269584656},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6142258644104004},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6046836972236633},{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.5650531053543091},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.543917179107666},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.48139312863349915},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.443227618932724},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.43401217460632324},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2021.3085738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3085738","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:34061736","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34061736","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1138816682","display_name":null,"funder_award_id":"61702448","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G297858759","display_name":null,"funder_award_id":"U19B2043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7843352672","display_name":null,"funder_award_id":"61672456","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W2095652037","https://openalex.org/W2110568314","https://openalex.org/W2110693578","https://openalex.org/W2124741472","https://openalex.org/W2125814131","https://openalex.org/W2140676672","https://openalex.org/W2160204597","https://openalex.org/W2169546346","https://openalex.org/W2251356693","https://openalex.org/W2294370754","https://openalex.org/W2466175319","https://openalex.org/W2510415884","https://openalex.org/W2551029266","https://openalex.org/W2696068122","https://openalex.org/W2740181799","https://openalex.org/W2766017665","https://openalex.org/W2776762669","https://openalex.org/W2803119452","https://openalex.org/W2891109311","https://openalex.org/W2905032972","https://openalex.org/W2939507640","https://openalex.org/W2946417913","https://openalex.org/W2946794439","https://openalex.org/W2948947170","https://openalex.org/W2949423690","https://openalex.org/W2962790423","https://openalex.org/W2963204221","https://openalex.org/W2963283805","https://openalex.org/W2963342434","https://openalex.org/W2963482033","https://openalex.org/W2963716836","https://openalex.org/W2964972381","https://openalex.org/W2965373594","https://openalex.org/W2970454332","https://openalex.org/W2970597249","https://openalex.org/W2970880694","https://openalex.org/W2971033911","https://openalex.org/W2972324944","https://openalex.org/W2978017171","https://openalex.org/W2996876695","https://openalex.org/W2998183051","https://openalex.org/W2998259434","https://openalex.org/W3021868432","https://openalex.org/W3034353423","https://openalex.org/W3034457371","https://openalex.org/W3034927876","https://openalex.org/W3035408713","https://openalex.org/W3087871082","https://openalex.org/W3098576111","https://openalex.org/W3098817461","https://openalex.org/W3103188966","https://openalex.org/W3103884771","https://openalex.org/W3104267682","https://openalex.org/W3105966348","https://openalex.org/W3177265267","https://openalex.org/W4288347855","https://openalex.org/W4378438914","https://openalex.org/W6631501603","https://openalex.org/W6637411695","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6677904634","https://openalex.org/W6678441938","https://openalex.org/W6685265622","https://openalex.org/W6725207838","https://openalex.org/W6725871045","https://openalex.org/W6730201455","https://openalex.org/W6739901393","https://openalex.org/W6745297980","https://openalex.org/W6761748628","https://openalex.org/W6762945437","https://openalex.org/W6763701032","https://openalex.org/W6766673545","https://openalex.org/W6768021236","https://openalex.org/W6768851824","https://openalex.org/W6778567065","https://openalex.org/W6780226713"],"related_works":["https://openalex.org/W2377059580","https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W4200355488","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W3007164922","https://openalex.org/W2275988210"],"abstract_inverted_index":{"In":[0,152],"this":[1],"paper,":[2],"we":[3,38],"propose":[4],"a":[5,41,48,117,154],"novel":[6],"deep":[7],"Efficient":[8],"Relational":[9,118],"Sentence":[10,132,176],"Ordering":[11],"Network":[12],"(referred":[13,44,121],"to":[14,28,45,89,122,138,147,166,189],"as":[15,46,123,163],"ERSON)":[16],"by":[17,71],"leveraging":[18],"pre-trained":[19,130],"language":[20],"model":[21,60,114],"in":[22,57,64],"both":[23],"encoder":[24],"and":[25,75,94,108,180],"decoder":[26],"architectures":[27],"strengthen":[29],"the":[30,34,58,65,76,80,91,98,101,106,113,129,140,149,169,185,190],"coherence":[31],"modeling":[32],"of":[33,51,100,136,156,187],"entire":[35],"model.":[36],"Specifically,":[37],"first":[39],"introduce":[40],"divide-and-fuse":[42],"BERT":[43,52,137],"DF-BERT),":[47],"new":[49],"refactor":[50],"network,":[53],"where":[54],"lower":[55],"layers":[56,78],"improved":[59],"encode":[61],"each":[62],"sentence":[63,73,83],"paragraph":[66],"independently,":[67],"which":[68,127],"are":[69,161],"shared":[70],"different":[72],"pairs,":[74],"higher":[77],"learn":[79],"cross-attention":[81],"between":[82,97,145],"pairs":[84],"jointly.":[85],"It":[86],"enables":[87],"us":[88],"capture":[90,139],"semantic":[92],"concepts":[93],"contextual":[95],"information":[96,144],"sentences":[99,146],"paragraph,":[102],"while":[103],"significantly":[104],"reducing":[105],"runtime":[107],"memory":[109],"consumption":[110],"without":[111],"sacrificing":[112],"performance.":[115,171],"Besides,":[116],"Pointer":[119],"Decoder":[120],"RPD)":[124],"is":[125],"developed,":[126],"utilizes":[128],"Next":[131],"Prediction":[133],"(NSP)":[134],"task":[135],"useful":[141],"relative":[142],"ordering":[143,170,192],"enhance":[148],"order":[150],"predictions.":[151],"addition,":[153],"variety":[155],"knowledge":[157],"distillation":[158],"based":[159],"losses":[160],"added":[162],"auxiliary":[164],"supervision":[165],"further":[167],"improve":[168],"The":[172],"extensive":[173],"evaluations":[174],"on":[175],"Ordering,":[177],"Order":[178],"Discrimination,":[179],"Multi-Document":[181],"Summarization":[182],"tasks":[183],"show":[184],"superiority":[186],"ERSON":[188],"state-of-the-art":[191],"methods.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}