{"id":"https://openalex.org/W4312253182","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892086","title":"A Novel Distilled Generative Essay Polish System via Hierarchical Pre-Training","display_name":"A Novel Distilled Generative Essay Polish System via Hierarchical Pre-Training","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312253182","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892086"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892086","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5040203410","display_name":"Qichuan Yang","orcid":"https://orcid.org/0000-0002-1689-5246"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qichuan Yang","raw_affiliation_strings":["Smart Education Lab Lenovo Research,Beijing,China","Smart Education Lab Lenovo Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Smart Education Lab Lenovo Research,Beijing,China","institution_ids":["https://openalex.org/I4210156165"]},{"raw_affiliation_string":"Smart Education Lab Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103225546","display_name":"Liuxin Zhang","orcid":"https://orcid.org/0000-0002-6779-4920"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuxin Zhang","raw_affiliation_strings":["Smart Education Lab Lenovo Research,Beijing,China","Smart Education Lab Lenovo Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Smart Education Lab Lenovo Research,Beijing,China","institution_ids":["https://openalex.org/I4210156165"]},{"raw_affiliation_string":"Smart Education Lab Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354571","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-6821-2710"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Smart Education Lab Lenovo Research,Beijing,China","Smart Education Lab Lenovo Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Smart Education Lab Lenovo Research,Beijing,China","institution_ids":["https://openalex.org/I4210156165"]},{"raw_affiliation_string":"Smart Education Lab Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072882523","display_name":"Jinghua Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghua Gao","raw_affiliation_strings":["Smart Education Lab Lenovo Research,Beijing,China","Smart Education Lab Lenovo Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Smart Education Lab Lenovo Research,Beijing,China","institution_ids":["https://openalex.org/I4210156165"]},{"raw_affiliation_string":"Smart Education Lab Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026177089","display_name":"Siyun Wang","orcid":"https://orcid.org/0000-0003-2468-2483"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyun Wang","raw_affiliation_strings":["Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California,Los Angeles,USA","Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California,Los Angeles,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040203410"],"corresponding_institution_ids":["https://openalex.org/I4210156165"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13795518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/rewriting","display_name":"Rewriting","score":0.7788172364234924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7416390776634216},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.6839773654937744},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5783430337905884},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.564246654510498},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.523589015007019},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5178864002227783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5134166479110718},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41895225644111633},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2313544750213623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09080624580383301}],"concepts":[{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.7788172364234924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416390776634216},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.6839773654937744},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5783430337905884},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.564246654510498},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.523589015007019},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5178864002227783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5134166479110718},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41895225644111633},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2313544750213623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09080624580383301},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892086","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W964268332","https://openalex.org/W1821462560","https://openalex.org/W1832693441","https://openalex.org/W2037789405","https://openalex.org/W2101911356","https://openalex.org/W2113883364","https://openalex.org/W2194187530","https://openalex.org/W2250680451","https://openalex.org/W2294370754","https://openalex.org/W2567547739","https://openalex.org/W2585199909","https://openalex.org/W2896457183","https://openalex.org/W2903212437","https://openalex.org/W2936864631","https://openalex.org/W2950018712","https://openalex.org/W2962739339","https://openalex.org/W2963716420","https://openalex.org/W2965373594","https://openalex.org/W2995644293","https://openalex.org/W2996428491","https://openalex.org/W3007759824","https://openalex.org/W3015828009","https://openalex.org/W3034238904","https://openalex.org/W3034640977","https://openalex.org/W4288089799","https://openalex.org/W4288351176","https://openalex.org/W6638523607","https://openalex.org/W6675521184","https://openalex.org/W6721933647","https://openalex.org/W6755207826","https://openalex.org/W6757114200","https://openalex.org/W6762388911","https://openalex.org/W6766673545","https://openalex.org/W6768021236","https://openalex.org/W6769627184","https://openalex.org/W6773829392"],"related_works":["https://openalex.org/W2120204135","https://openalex.org/W2139396251","https://openalex.org/W1796293478","https://openalex.org/W1577544887","https://openalex.org/W6643695","https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2173794830","https://openalex.org/W2972355439","https://openalex.org/W2138640103"],"abstract_inverted_index":{"In":[0,80],"language":[1],"processing":[2],"tasks,":[3,66,74],"the":[4,29,40,97,136,139,147],"most":[5],"important":[6],"process":[7,134],"in":[8,28],"automated":[9,46],"text":[10,15,18,22,60,64,91,94,183,188],"polishment":[11,23,73],"always":[12],"consists":[13],"of":[14,31,42,115,138,149],"correction":[16,61,92,184],"and":[17,63,93,119,128,166,186],"supplementation.":[19],"Finding":[20],"that":[21,88],"is":[24,153],"a":[25,85,108,116,120,142],"necessary":[26],"step":[27],"field":[30],"English":[32,47],"essay":[33,48,72,110],"reviewing,":[34],"we":[35,83,106],"are":[36],"motivated":[37],"to":[38,51,125],"be":[39],"first":[41],"building":[43],"an":[44,101,157],"end-to-end":[45],"polish":[49,86],"system,":[50],"support":[52],"writing":[53],"instruction.":[54],"There":[55],"were":[56],"independent":[57],"methods":[58],"for":[59,71],"tasks":[62],"supplementation":[65,95,189],"but":[67],"when":[68],"combining":[69],"them":[70],"conflicts":[75],"arise":[76],"from":[77],"their":[78],"interplay.":[79],"this":[81],"paper,":[82],"propose":[84],"system":[87,152],"elegantly":[89],"performs":[90],"at":[96],"same":[98],"time,":[99],"achieving":[100],"improved":[102],"revision":[103],"quality.":[104],"Furthermore,":[105],"design":[107],"closed-loop":[109],"polishing":[111],"process,":[112],"made":[113],"up":[114],"Rewriting":[117],"Model":[118],"Scoring":[121,177],"Model,":[122,178],"which":[123],"refers":[124],"modified":[126],"GPT2":[127],"ensembled":[129],"Bert":[130],"respectively.":[131],"The":[132],"rewriting":[133],"targets":[135],"deficiencies":[137],"essays":[140,175],"by":[141,156,176],"threshold":[143],"controlled":[144],"mechanism.":[145],"Lastly,":[146],"performance":[148],"our":[150],"proposed":[151],"further":[154],"enhanced":[155],"optimization":[158],"method.":[159],"Intensive":[160],"experiments":[161],"on":[162,173],"both":[163],"real":[164],"data":[165,168],"simulated":[167],"have":[169],"shown":[170],"score":[171],"improvements":[172],"full":[174],"as":[179,181],"well":[180],"higher":[182],"accuracy":[185],"longer":[187],"length.":[190]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}