{"id":"https://openalex.org/W3156238523","doi":"https://doi.org/10.1145/3442381.3450017","title":"Learning from Graph Propagation via Ordinal Distillation for One-Shot Automated Essay Scoring","display_name":"Learning from Graph Propagation via Ordinal Distillation for One-Shot Automated Essay Scoring","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3156238523","doi":"https://doi.org/10.1145/3442381.3450017","mag":"3156238523"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3450017","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3450017","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3450017","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082553860","display_name":"Zhiwei Jiang","orcid":"https://orcid.org/0000-0001-5243-4992"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwei Jiang","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100940320","display_name":"Meng Liu","orcid":"https://orcid.org/0000-0003-2175-4402"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Liu","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087888694","display_name":"Yafeng Yin","orcid":"https://orcid.org/0000-0002-9497-6244"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafeng Yin","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101957885","display_name":"Hua Yu","orcid":"https://orcid.org/0000-0002-4324-2259"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yu","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033620369","display_name":"Zifeng Cheng","orcid":"https://orcid.org/0000-0002-8486-2614"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zifeng Cheng","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061025205","display_name":"Qing Gu","orcid":"https://orcid.org/0000-0002-1112-790X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Gu","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082553860"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.2238,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82880828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2347","last_page":"2356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9919999837875366,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9887999892234802,"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":0.7067797183990479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6707181930541992},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5806734561920166},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5782760977745056},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5437610745429993},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5098223090171814},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4970610439777374},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47556987404823303},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44858455657958984},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.44721508026123047},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4232936501502991},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16848251223564148},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14824983477592468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067797183990479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6707181930541992},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5806734561920166},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5782760977745056},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5437610745429993},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5098223090171814},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4970610439777374},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47556987404823303},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44858455657958984},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.44721508026123047},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4232936501502991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16848251223564148},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14824983477592468},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3442381.3450017","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3450017","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3442381.3450017","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3450017","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1574316613","https://openalex.org/W1821462560","https://openalex.org/W2001402876","https://openalex.org/W2096879700","https://openalex.org/W2141350700","https://openalex.org/W2149298154","https://openalex.org/W2250372169","https://openalex.org/W2250539671","https://openalex.org/W2440757793","https://openalex.org/W2560674852","https://openalex.org/W2564237127","https://openalex.org/W2567547739","https://openalex.org/W2740592764","https://openalex.org/W2747329762","https://openalex.org/W2799207367","https://openalex.org/W2898637464","https://openalex.org/W2949629417","https://openalex.org/W2953070460","https://openalex.org/W2962369866","https://openalex.org/W2962739339","https://openalex.org/W2962851685","https://openalex.org/W2963308086","https://openalex.org/W2963599398","https://openalex.org/W2963830885","https://openalex.org/W2964413085","https://openalex.org/W2974340959","https://openalex.org/W2998802446","https://openalex.org/W3012754796","https://openalex.org/W3034560444","https://openalex.org/W3034730645","https://openalex.org/W3034756453","https://openalex.org/W3098654368","https://openalex.org/W3118967241","https://openalex.org/W4365799947","https://openalex.org/W6683687954"],"related_works":["https://openalex.org/W2387675639","https://openalex.org/W2961085424","https://openalex.org/W2329086085","https://openalex.org/W3107474891","https://openalex.org/W2081647779","https://openalex.org/W3185852197","https://openalex.org/W2329969760","https://openalex.org/W3121598173","https://openalex.org/W3214837056","https://openalex.org/W4283803243"],"abstract_inverted_index":{"One-shot":[0],"automated":[1],"essay":[2,25],"scoring":[3],"(AES)":[4],"aims":[5],"to":[6,9,16,30,81,99,158],"assign":[7],"scores":[8],"a":[10,17,38,74,91,96,122,148],"set":[11],"of":[12,41,55,66,85,103,155,181,197],"essays":[13,44,53,105],"written":[14],"specific":[15],"certain":[18],"prompt,":[19],"with":[20],"only":[21],"one":[22],"manually":[23,42,51],"scored":[24,43,52],"per":[26],"distinct":[27],"score.":[28],"Compared":[29],"the":[31,64,83,108,115,118,129,136,153,160,170,179,187],"previous-studied":[32],"prompt-specific":[33],"AES":[34,60,184,189],"which":[35,146],"usually":[36],"requires":[37],"large":[39],"number":[40],"for":[45],"model":[46,94,98,120,125],"training":[47],"(e.g.,":[48],"about":[49],"600":[50],"out":[54],"totally":[56],"1000":[57],"essays),":[58],"one-shot":[59,86,109,188],"can":[61,177],"greatly":[62],"reduce":[63],"workload":[65],"manual":[67],"scoring.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72,89,113,140],"propose":[73,141],"Transductive":[75],"Graph-based":[76],"Ordinal":[77],"Distillation":[78],"(TGOD)":[79],"framework":[80],"tackle":[82],"task":[84],"AES.":[87],"Specifically,":[88],"design":[90],"transductive":[92],"graph-based":[93],"as":[95],"teacher":[97,119],"generate":[100],"pseudo":[101,132,165],"labels":[102],"unlabeled":[104],"based":[106],"on":[107,152,169],"labeled":[110],"essays.":[111],"Then,":[112],"distill":[114],"knowledge":[116,138],"in":[117,164],"into":[121],"neural":[123,183],"student":[124,156],"by":[126],"learning":[127],"from":[128,135],"high":[130],"confidence":[131],"labels.":[133,166],"Different":[134],"general":[137],"distillation,":[139],"an":[142,193],"ordinal-aware":[143],"unimodal":[144,149],"distillation":[145],"makes":[147],"distribution":[150],"constraint":[151],"output":[154],"model,":[157],"tolerate":[159],"minor":[161],"errors":[162],"existed":[163],"Experimental":[167],"results":[168],"public":[171],"dataset":[172],"ASAP":[173],"show":[174],"that":[175],"TGOD":[176],"improve":[178],"performance":[180],"existing":[182],"models":[185],"under":[186],"setting":[190],"and":[191],"achieve":[192],"acceptable":[194],"average":[195],"QWK":[196],"0.69.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
