{"id":"https://openalex.org/W2950342809","doi":"https://doi.org/10.18653/v1/p19-1628","title":"Sentence Centrality Revisited for Unsupervised Summarization","display_name":"Sentence Centrality Revisited for Unsupervised Summarization","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2950342809","doi":"https://doi.org/10.18653/v1/p19-1628","mag":"2950342809"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1628","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1628","pdf_url":"https://www.aclweb.org/anthology/P19-1628.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1628.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101552472","display_name":"Hao Zheng","orcid":"https://orcid.org/0000-0002-1678-9478"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hao Zheng","raw_affiliation_strings":["Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041024491","display_name":"Mirella Lapata","orcid":"https://orcid.org/0000-0002-2107-1516"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mirella Lapata","raw_affiliation_strings":["Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101552472"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":185,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6236","last_page":"6247"},"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":0.9998999834060669,"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":0.9983000159263611,"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":0.8371939063072205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7983130216598511},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.7907018661499023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6332162618637085},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.595578670501709},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5929515957832336},{"id":"https://openalex.org/keywords/aka","display_name":"AKA","score":0.5808032751083374},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5776258707046509},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.4845789670944214},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.475169837474823},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.45120561122894287},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.44890350103378296},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4450058937072754},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4257120192050934},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39735981822013855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2815440893173218},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16466763615608215}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8371939063072205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7983130216598511},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.7907018661499023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6332162618637085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.595578670501709},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5929515957832336},{"id":"https://openalex.org/C121158502","wikidata":"https://www.wikidata.org/wiki/Q4652161","display_name":"AKA","level":2,"score":0.5808032751083374},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5776258707046509},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.4845789670944214},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.475169837474823},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.45120561122894287},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.44890350103378296},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4450058937072754},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4257120192050934},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39735981822013855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2815440893173218},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16466763615608215},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1628","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1628","pdf_url":"https://www.aclweb.org/anthology/P19-1628.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1628","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1628","pdf_url":"https://www.aclweb.org/anthology/P19-1628.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G656068760","display_name":null,"funder_award_id":"FA8650-17-C-9118","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"}],"funders":[{"id":"https://openalex.org/F4320312530","display_name":"Office of the Director of National Intelligence","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320337349","display_name":"NIH Office of the Director","ror":"https://ror.org/00fj8a872"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2950342809.pdf","grobid_xml":"https://content.openalex.org/works/W2950342809.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W50575035","https://openalex.org/W102951417","https://openalex.org/W1486649854","https://openalex.org/W1501617060","https://openalex.org/W1522301498","https://openalex.org/W1525595230","https://openalex.org/W1544827683","https://openalex.org/W1979068940","https://openalex.org/W2026191715","https://openalex.org/W2045738181","https://openalex.org/W2066636486","https://openalex.org/W2081174553","https://openalex.org/W2083778364","https://openalex.org/W2101966894","https://openalex.org/W2128672521","https://openalex.org/W2141514700","https://openalex.org/W2144270295","https://openalex.org/W2150824314","https://openalex.org/W2153579005","https://openalex.org/W2155871583","https://openalex.org/W2250968833","https://openalex.org/W2251211118","https://openalex.org/W2251294516","https://openalex.org/W2251803607","https://openalex.org/W2252267789","https://openalex.org/W2260901818","https://openalex.org/W2288604516","https://openalex.org/W2293771131","https://openalex.org/W2307381258","https://openalex.org/W2565349465","https://openalex.org/W2574535369","https://openalex.org/W2577896103","https://openalex.org/W2604777655","https://openalex.org/W2606974598","https://openalex.org/W2612675303","https://openalex.org/W2759996821","https://openalex.org/W2782382326","https://openalex.org/W2882319491","https://openalex.org/W2888482885","https://openalex.org/W2889518897","https://openalex.org/W2896457183","https://openalex.org/W2896919131","https://openalex.org/W2917474834","https://openalex.org/W2949615363","https://openalex.org/W2952138241","https://openalex.org/W2953285682","https://openalex.org/W2962849707","https://openalex.org/W2962972512","https://openalex.org/W2963125472","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963768805","https://openalex.org/W2963929190","https://openalex.org/W2964121744","https://openalex.org/W3088311774","https://openalex.org/W3101913037","https://openalex.org/W3158986179","https://openalex.org/W4294170691","https://openalex.org/W4297979306","https://openalex.org/W4298374033","https://openalex.org/W4385245566"],"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/W2568827738","https://openalex.org/W2099859325","https://openalex.org/W2365100044","https://openalex.org/W2474342320"],"abstract_inverted_index":{"Single":[0],"document":[1],"summarization":[2,125],"has":[3],"enjoyed":[4],"renewed":[5],"interest":[6],"in":[7,73,117],"recent":[8],"years":[9],"thanks":[10],"to":[11,37,44,86,107],"the":[12,19,101],"popularity":[13],"of":[14,21,52,103,128],"neural":[15,82],"network":[16],"models":[17],"and":[18,40,64,91,131],"availability":[20],"large-scale":[22,39],"datasets.":[23],"In":[24],"this":[25],"paper":[26],"we":[27,77,93],"develop":[28],"an":[29],"unsupervised":[30],"approach":[31,137],"arguing":[32,99],"that":[33,100,135],"it":[34],"is":[35,71,111],"unrealistic":[36],"expect":[38],"high-quality":[41],"training":[42],"data":[43],"be":[45],"available":[46],"or":[47,55],"created":[48],"for":[49],"different":[50,129],"types":[51],"summaries,":[53],"domains,":[54],"languages.":[56],"We":[57],"revisit":[58],"a":[59,80,118,142],"popular":[60],"graph-based":[61],"ranking":[62],"algorithm":[63],"modify":[65],"how":[66],"node":[67],"(aka":[68],"sentence)":[69],"centrality":[70,110],"computed":[72],"two":[74,105],"ways:":[75],"(a)":[76],"employ":[78],"BERT,":[79],"state-of-the-art":[81],"representation":[83],"learning":[84],"model":[85],"better":[87],"capture":[88],"sentential":[89],"meaning":[90],"(b)":[92],"build":[94],"graphs":[95],"with":[96],"directed":[97],"edges":[98],"contribution":[102],"any":[104],"nodes":[106],"their":[108,114],"respective":[109],"influenced":[112],"by":[113,141],"relative":[115],"position":[116],"document.":[119],"Experimental":[120],"results":[121],"on":[122],"three":[123],"news":[124],"datasets":[126],"representative":[127],"languages":[130],"writing":[132],"styles":[133],"show":[134],"our":[136],"outperforms":[138],"strong":[139],"baselines":[140],"wide":[143],"margin.":[144],"1":[145]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":34},{"year":2021,"cited_by_count":52},{"year":2020,"cited_by_count":23}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
