{"id":"https://openalex.org/W2951963554","doi":"https://doi.org/10.18653/v1/p19-1503","title":"Simple Unsupervised Summarization by Contextual Matching","display_name":"Simple Unsupervised Summarization by Contextual Matching","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951963554","doi":"https://doi.org/10.18653/v1/p19-1503","mag":"2951963554"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1503","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1503","pdf_url":"https://www.aclweb.org/anthology/P19-1503.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/P19-1503.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101805947","display_name":"Jiawei Zhou","orcid":"https://orcid.org/0000-0001-5590-6270"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Zhou","raw_affiliation_strings":["Harvard University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062546146","display_name":"Alexander M. Rush","orcid":"https://orcid.org/0000-0002-9900-1606"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexander Rush","raw_affiliation_strings":["Harvard University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062546146"],"corresponding_institution_ids":["https://openalex.org/I2801851002"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5101","last_page":"5106"},"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":0.9868000149726868,"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":0.9526910781860352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8422134518623352},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7027978301048279},{"id":"https://openalex.org/keywords/fluency","display_name":"Fluency","score":0.6793370246887207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6641889810562134},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.645591139793396},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6368752717971802},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5010802745819092},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4829687178134918},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.46125778555870056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07959851622581482}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9526910781860352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8422134518623352},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7027978301048279},{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.6793370246887207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6641889810562134},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.645591139793396},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6368752717971802},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5010802745819092},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4829687178134918},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.46125778555870056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07959851622581482},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1503","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1503","pdf_url":"https://www.aclweb.org/anthology/P19-1503.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/p19-1503","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1503","pdf_url":"https://www.aclweb.org/anthology/P19-1503.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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8500000238418579}],"awards":[{"id":"https://openalex.org/G6111017855","display_name":"CAREER: Data-Driven Document Generation","funder_award_id":"1845664","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951963554.pdf","grobid_xml":"https://content.openalex.org/works/W2951963554.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W21810565","https://openalex.org/W1967005434","https://openalex.org/W2116064496","https://openalex.org/W2251654079","https://openalex.org/W2251656952","https://openalex.org/W2467173223","https://openalex.org/W2526471240","https://openalex.org/W2577366047","https://openalex.org/W2605141709","https://openalex.org/W2612675303","https://openalex.org/W2785910460","https://openalex.org/W2798542795","https://openalex.org/W2884900624","https://openalex.org/W2890116189","https://openalex.org/W2890868349","https://openalex.org/W2962739339","https://openalex.org/W2962965405","https://openalex.org/W2963833497","https://openalex.org/W2963929190","https://openalex.org/W2964260331","https://openalex.org/W4289544150","https://openalex.org/W4394657458"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W1517524280","https://openalex.org/W4323520239"],"abstract_inverted_index":{"We":[0,34],"propose":[1],"an":[2],"unsupervised":[3],"method":[4,69],"for":[5,45],"sentence":[6,60],"summarization":[7,61],"using":[8,38],"only":[9],"language":[10,16],"modeling.":[11],"The":[12],"approach":[13],"employs":[14],"two":[15],"models,":[17],"one":[18],"that":[19,27,36],"is":[20,28],"generic":[21],"(i.e.":[22],"pretrained),":[23],"and":[24,58],"the":[25,31],"other":[26],"specific":[29],"to":[30,73],"target":[32],"domain.":[33],"show":[35,64],"by":[37],"a":[39],"productof-experts":[40],"criteria":[41],"these":[42],"are":[43],"enough":[44],"maintaining":[46,51],"continuous":[47],"contextual":[48],"matching":[49],"while":[50],"output":[52],"fluency.":[53],"Experiments":[54],"on":[55],"both":[56],"abstractive":[57],"extractive":[59],"data":[62],"sets":[63],"promising":[65],"results":[66],"of":[67],"our":[68],"without":[70],"being":[71],"exposed":[72],"any":[74],"paired":[75],"data.":[76]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}