{"id":"https://openalex.org/W2251191978","doi":"https://doi.org/10.18653/v1/d13-1180","title":"Automated Essay Scoring by Maximizing Human-Machine Agreement","display_name":"Automated Essay Scoring by Maximizing Human-Machine Agreement","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2251191978","doi":"https://doi.org/10.18653/v1/d13-1180","mag":"2251191978"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d13-1180","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1180","pdf_url":"https://aclanthology.org/D13-1180.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D13-1180.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100452331","display_name":"Hongbo Chen","orcid":"https://orcid.org/0000-0003-4162-0073"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Chen","raw_affiliation_strings":["University of the Chinese Academy of Sciences;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Chinese Academy of Sciences;","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109888639","display_name":"Ben He","orcid":"https://orcid.org/0000-0002-2699-9209"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben He","raw_affiliation_strings":["University of the Chinese Academy of Sciences;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Chinese Academy of Sciences;","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":2.7474,"has_fulltext":true,"cited_by_count":124,"citation_normalized_percentile":{"value":0.92220214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1741","last_page":"1752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.789986252784729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7388476133346558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7379473447799683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317987680435181},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.602010190486908},{"id":"https://openalex.org/keywords/agreement","display_name":"Agreement","score":0.5959151387214661},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42876073718070984},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.399432510137558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1061536967754364}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.789986252784729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7388476133346558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7379473447799683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317987680435181},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.602010190486908},{"id":"https://openalex.org/C2776818064","wikidata":"https://www.wikidata.org/wiki/Q829903","display_name":"Agreement","level":2,"score":0.5959151387214661},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42876073718070984},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.399432510137558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1061536967754364},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/d13-1180","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1180","pdf_url":"https://aclanthology.org/D13-1180.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.592.9779","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.592.9779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D13/D13-1180.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/d13-1180","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1180","pdf_url":"https://aclanthology.org/D13-1180.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G815537105","display_name":"\u57fa\u4e8e\u8d85\u51e0\u4f55\u5206\u5e03\u7684\u65e0\u53c2\u6982\u7387\u4fe1\u606f\u68c0\u7d22\u6a21\u578b\u7814\u7a76","funder_award_id":"61103131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326972","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251191978.pdf","grobid_xml":"https://content.openalex.org/works/W2251191978.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W187754488","https://openalex.org/W1249120690","https://openalex.org/W1485919316","https://openalex.org/W1511133876","https://openalex.org/W1557757161","https://openalex.org/W1574316613","https://openalex.org/W1606550863","https://openalex.org/W1678356000","https://openalex.org/W1954968711","https://openalex.org/W1973435495","https://openalex.org/W1996430422","https://openalex.org/W2003123824","https://openalex.org/W2035720976","https://openalex.org/W2046517742","https://openalex.org/W2053154970","https://openalex.org/W2062914707","https://openalex.org/W2097606805","https://openalex.org/W2103179193","https://openalex.org/W2107677906","https://openalex.org/W2115584760","https://openalex.org/W2120724560","https://openalex.org/W2123737232","https://openalex.org/W2124725212","https://openalex.org/W2137085985","https://openalex.org/W2147218300","https://openalex.org/W2152311353","https://openalex.org/W2158240052","https://openalex.org/W2163751437","https://openalex.org/W2518290665","https://openalex.org/W2613678836","https://openalex.org/W2911964244","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2562400057"],"abstract_inverted_index":{"Previous":[0],"approaches":[1],"for":[2,65,134],"automated":[3,135],"essay":[4,102,136],"scoring":[5],"(AES)":[6],"learn":[7],"a":[8,55,67],"rating":[9,68],"model":[10],"by":[11,40],"minimizing":[12],"either":[13],"the":[14,23,32,44,71,74,83,94,98,115,128],"classification,":[15],"regression,":[16],"or":[17],"pairwise":[18],"classification":[19],"loss,":[20],"depending":[21],"on":[22,97],"learning":[24,61,66,95],"algorithm":[25],"used.In":[26],"this":[27,51],"paper,":[28],"we":[29,53],"argue":[30],"that":[31,58,110],"current":[33],"AES":[34],"systems":[35],"can":[36],"be":[37],"further":[38],"improved":[39],"taking":[41],"into":[42,82],"account":[43],"agreement":[45,72],"between":[46,73],"human":[47,75,124],"and":[48,76,87,118],"machine":[49,77],"raters.To":[50],"end,":[52],"propose":[54],"rankbased":[56],"approach":[57,113],"utilizes":[59],"listwise":[60],"to":[62,92,122],"rank":[63],"algorithms":[64],"model,":[69],"where":[70],"raters":[78],"is":[79],"directly":[80],"incorporated":[81],"loss":[84],"function.Various":[85],"linguistic":[86],"statistical":[88],"features":[89],"are":[90],"utilized":[91],"facilitate":[93],"algorithms.Experiments":[96],"publicly":[99],"available":[100],"English":[101],"dataset,":[103],"Automated":[104],"Student":[105],"Assessment":[106],"Prize":[107],"(ASAP),":[108],"show":[109],"our":[111,131],"proposed":[112,132],"outperforms":[114],"state-of-the-art":[116],"algorithms,":[117],"achieves":[119],"performance":[120],"comparable":[121],"professional":[123],"raters,":[125],"which":[126],"suggests":[127],"effectiveness":[129],"of":[130],"method":[133],"scoring.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}