乐胖代购免代理版

{"id":"https://openalex.org/W2963732644","doi":"https://doi.org/10.18653/v1/d17-1064","title":"Split and Rephrase","display_name":"Split and Rephrase","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2963732644","doi":"https://doi.org/10.18653/v1/d17-1064","mag":"2963732644"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1064","pdf_url":"https://www.aclweb.org/anthology/D17-1064.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.aclweb.org/anthology/D17-1064.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081801388","display_name":"Shashi Narayan","orcid":null},"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":"Shashi Narayan","raw_affiliation_strings":["School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087459652","display_name":"Claire Gardent","orcid":"https://orcid.org/0000-0002-3805-6662"},"institutions":[{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claire Gardent","raw_affiliation_strings":["CNRS, LORIA, UMR 7503, Vandoeuvre-l\u00e8s-Nancy, F-54500, France"],"affiliations":[{"raw_affiliation_string":"CNRS, LORIA, UMR 7503, Vandoeuvre-l\u00e8s-Nancy, F-54500, France","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030503109","display_name":"Shay B. Cohen","orcid":"https://orcid.org/0000-0003-4753-8353"},"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":"Shay B. Cohen","raw_affiliation_strings":["School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090458146","display_name":"Anastasia Shimorina","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anastasia Shimorina","raw_affiliation_strings":["CNRS, LORIA, UMR 7503, Vandoeuvre-l\u00e8s-Nancy, F-54500, France"],"affiliations":[{"raw_affiliation_string":"CNRS, LORIA, UMR 7503, Vandoeuvre-l\u00e8s-Nancy, F-54500, France","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I1294671590"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.594,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":87,"citation_normalized_percentile":{"value":0.926817,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"606","last_page":"616"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","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/T13629","display_name":"Text Readability and Simplification","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":0.9986,"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/T10028","display_name":"Topic Modeling","score":0.9965,"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/sequence","display_name":"Sequence (biology)","score":0.61541},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5295884},{"id":"https://openalex.org/keywords/text-simplification","display_name":"Text Simplification","score":0.45748416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8367445},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.79785925},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.78167474},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7261816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.67002004},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6682892},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.61541},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.6130262},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.560508},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.54440993},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5295884},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.517123},{"id":"https://openalex.org/C59415355","wikidata":"https://www.wikidata.org/wiki/Q3484781","display_name":"Text simplification","level":3,"score":0.45748416},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.29163826},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1064","pdf_url":"https://www.aclweb.org/anthology/D17-1064.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11820/fd5ede11-f0b4-42bc-9488-f251b6ff243c","pdf_url":"https://www.research.ed.ac.uk/files/42084950/emnlp17sr_2_1.pdf","source":{"id":"https://openalex.org/S4306400320","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":["University of Edinburgh"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.pure.ed.ac.uk/ws/files/42084950/emnlp17sr_2_1.pdf","pdf_url":"https://www.pure.ed.ac.uk/ws/files/42084950/emnlp17sr_2_1.pdf","source":{"id":"https://openalex.org/S4306400320","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":["University of Edinburgh"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":true,"landing_page_url":"http://aclweb.org/anthology/D17-1064","pdf_url":"https://aclanthology.org/D17-1064.pdf","source":{"id":"https://openalex.org/S4306400320","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":["University of Edinburgh"],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1064","pdf_url":"https://www.aclweb.org/anthology/D17-1064.pdf","source":{"id":"https://openalex.org/S4363608991","display_name":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Quality education","score":0.87,"id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":61,"referenced_works":["https://openalex.org/W1533792241","https://openalex.org/W1581218697","https://openalex.org/W1605351056","https://openalex.org/W1611395667","https://openalex.org/W1746111881","https://openalex.org/W174630521","https://openalex.org/W1787338159","https://openalex.org/W1872907992","https://openalex.org/W1902237438","https://openalex.org/W196214544","https://openalex.org/W2025746854","https://openalex.org/W2042262613","https://openalex.org/W2061433145","https://openalex.org/W2064675550","https://openalex.org/W2070536585","https://openalex.org/W2081388731","https://openalex.org/W2083245912","https://openalex.org/W2083451366","https://openalex.org/W2099092905","https://openalex.org/W2101105183","https://openalex.org/W2107130271","https://openalex.org/W2108373063","https://openalex.org/W2109802560","https://openalex.org/W2109881807","https://openalex.org/W2115769265","https://openalex.org/W2118119027","https://openalex.org/W2123442489","https://openalex.org/W2124672726","https://openalex.org/W2130571329","https://openalex.org/W2133564696","https://openalex.org/W2137095957","https://openalex.org/W2140847984","https://openalex.org/W2143927888","https://openalex.org/W2156422881","https://openalex.org/W2160017075","https://openalex.org/W2167435923","https://openalex.org/W2168652246","https://openalex.org/W21810565","https://openalex.org/W2250405974","https://openalex.org/W2250531756","https://openalex.org/W2251362149","https://openalex.org/W2251654079","https://openalex.org/W2251831371","https://openalex.org/W2251868338","https://openalex.org/W22627370","https://openalex.org/W2511538013","https://openalex.org/W2515250488","https://openalex.org/W2523717353","https://openalex.org/W2534253848","https://openalex.org/W2605243085","https://openalex.org/W2739874095","https://openalex.org/W2741049976","https://openalex.org/W2962965405","https://openalex.org/W2963928497","https://openalex.org/W2963941871","https://openalex.org/W2963963856","https://openalex.org/W2964034111","https://openalex.org/W2964308564","https://openalex.org/W4248677198","https://openalex.org/W4297933772","https://openalex.org/W4388176509"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W4283817051","https://openalex.org/W3151736118","https://openalex.org/W3011059803","https://openalex.org/W2979495269","https://openalex.org/W2952780262","https://openalex.org/W2392917763","https://openalex.org/W2375873920","https://openalex.org/W2142145894","https://openalex.org/W1619002"],"abstract_inverted_index":{"We":[0],"propose":[1,133],"a":[2,14,18,56,111,118,123],"new":[3,103],"sentence":[4,16,26,121],"simplification":[5],"task":[6],"(Split-and-Rephrase)":[7],"where":[8],"the":[9,30,63,88,128,143,146],"aim":[10],"is":[11],"to":[12,122,138,141],"split":[13],"complex":[15,120],"into":[17,93],"meaning":[19],"preserving":[20],"sequence":[21,124],"of":[22,32,65,78,90,114,125,145],"shorter":[23,42,94],"sentences.":[24],"Like":[25],"simplification,":[27],"splitting-and-rephrasing":[28],"has":[29],"potential":[31],"benefiting":[33],"both":[34],"natural":[35],"language":[36],"processing":[37],"and":[38,61,70,108],"societal":[39],"applications.":[40],"Because":[41],"sentences":[43,92,126],"are":[44],"generally":[45],"better":[46],"processed":[47],"by":[48],"NLP":[49],"systems,":[50],"it":[51,86],"could":[52],"be":[53,77],"used":[54],"as":[55],"preprocessing":[57],"step":[58],"which":[59],"facilitates":[60],"improves":[62],"performance":[64],"parsers,":[66],"semantic":[67],"role":[68],"labellers":[69],"machine":[71],"translation":[72],"systems.":[73],"It":[74],"should":[75],"also":[76],"use":[79],"for":[80],"people":[81],"with":[82],"reading":[83],"disabilities":[84],"because":[85],"allows":[87],"conversion":[89],"longer":[91],"ones.":[95],"This":[96],"paper":[97],"makes":[98],"two":[99],"contributions":[100],"towards":[101],"this":[102],"task.":[104,148],"First,":[105],"we":[106,132],"create":[107],"make":[109],"available":[110],"benchmark":[112],"consisting":[113],"1,066,115":[115],"tuples":[116],"mapping":[117],"single":[119],"expressing":[127],"same":[129],"meaning.":[130],"Second,":[131],"five":[134],"models":[135],"(vanilla":[136],"sequence-to-sequence":[137],"semantically-motivated":[139],"models)":[140],"understand":[142],"difficulty":[144],"proposed":[147]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2963732644","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":1}],"updated_date":"2025-01-19T15:00:27.476351","created_date":"2019-07-30"}