{"id":"https://openalex.org/W2329126180","doi":"https://doi.org/10.1515/jisys-2015-0048","title":"Contextualized Latent Semantic Indexing: A New Approach to Automated Chinese Essay Scoring","display_name":"Contextualized Latent Semantic Indexing: A New Approach to Automated Chinese Essay Scoring","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2329126180","doi":"https://doi.org/10.1515/jisys-2015-0048","mag":"2329126180"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2015-0048","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2015-0048","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2015-0048/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2015-0048/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100704964","display_name":"Yanyan Xu","orcid":"https://orcid.org/0000-0001-7174-6588"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanyan Xu","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China","1School of Information Science and Technology, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"1School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102845007","display_name":"Dengfeng Ke","orcid":"https://orcid.org/0000-0001-8459-0412"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengfeng Ke","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","2Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"2Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037325282","display_name":"Kaile Su","orcid":"https://orcid.org/0000-0001-6741-9699"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kaile Su","raw_affiliation_strings":["Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia","3Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"3Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100704964"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.01378912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"26","issue":"2","first_page":"263","last_page":"285"},"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":0.9994000196456909,"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":0.9965999722480774,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7339979410171509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7321906685829163},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6090242266654968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5699914693832397},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5275758504867554},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5252727270126343},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.49283623695373535},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.4657624065876007},{"id":"https://openalex.org/keywords/fluency","display_name":"Fluency","score":0.45381563901901245},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.44934993982315063},{"id":"https://openalex.org/keywords/chinese-language","display_name":"Chinese language","score":0.4450329840183258},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.1851353943347931},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18056464195251465},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1002899706363678}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7339979410171509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7321906685829163},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6090242266654968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5699914693832397},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5275758504867554},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5252727270126343},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.49283623695373535},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.4657624065876007},{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.45381563901901245},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.44934993982315063},{"id":"https://openalex.org/C3018428822","wikidata":"https://www.wikidata.org/wiki/Q7850","display_name":"Chinese language","level":2,"score":0.4450329840183258},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.1851353943347931},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18056464195251465},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1002899706363678},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1515/jisys-2015-0048","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2015-0048","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2015-0048/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1c666789862f4c77a772dd942a32b017","is_oa":true,"landing_page_url":"https://doaj.org/article/1c666789862f4c77a772dd942a32b017","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Intelligent Systems, Vol 26, Iss 2, Pp 263-285 (2017)","raw_type":"article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/344157","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/344157","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2015-0048","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2015-0048","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2015-0048/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1178027891","display_name":null,"funder_award_id":"2014-18","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G148272729","display_name":null,"funder_award_id":"YETP-0768","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G254770905","display_name":null,"funder_award_id":"61472369","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2694938916","display_name":null,"funder_award_id":"61472369","funder_id":"https://openalex.org/F4320335442","funder_display_name":"Beijing Higher Education Young Elite Teacher Project"},{"id":"https://openalex.org/G3823977824","display_name":null,"funder_award_id":"YX2014-18","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4751482564","display_name":null,"funder_award_id":"61472369","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G767269422","display_name":null,"funder_award_id":"YX2014-18","funder_id":"https://openalex.org/F4320335442","funder_display_name":"Beijing Higher Education Young Elite Teacher Project"},{"id":"https://openalex.org/G7905540535","display_name":null,"funder_award_id":"YETP-0768","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8198376720","display_name":null,"funder_award_id":"YX2014-18","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8286370726","display_name":null,"funder_award_id":"YETP-0768","funder_id":"https://openalex.org/F4320335442","funder_display_name":"Beijing Higher Education Young Elite Teacher Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335442","display_name":"Beijing Higher Education Young Elite Teacher Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2329126180.pdf","grobid_xml":"https://content.openalex.org/works/W2329126180.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W27049869","https://openalex.org/W138447450","https://openalex.org/W1511133876","https://openalex.org/W1549393725","https://openalex.org/W1631260214","https://openalex.org/W1880262756","https://openalex.org/W1954968711","https://openalex.org/W1977271127","https://openalex.org/W2000557975","https://openalex.org/W2001402876","https://openalex.org/W2013917087","https://openalex.org/W2037930515","https://openalex.org/W2090733459","https://openalex.org/W2098502158","https://openalex.org/W2117504660","https://openalex.org/W2119821739","https://openalex.org/W2124725212","https://openalex.org/W2147152072","https://openalex.org/W2147982578","https://openalex.org/W2153635508","https://openalex.org/W2158195707","https://openalex.org/W2158240052","https://openalex.org/W2165650315","https://openalex.org/W2166987457","https://openalex.org/W2169681319","https://openalex.org/W2355402533","https://openalex.org/W2385936950","https://openalex.org/W3120421331","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2096865229","https://openalex.org/W2251863249","https://openalex.org/W2353826422","https://openalex.org/W1551384396","https://openalex.org/W2921491680","https://openalex.org/W4214866631","https://openalex.org/W2726875075","https://openalex.org/W2519152253","https://openalex.org/W69385598","https://openalex.org/W2103628173"],"abstract_inverted_index":{"Abstract":[0],"The":[1,50],"writing":[2],"part":[3],"in":[4,10,70,98,137],"Chinese":[5,30],"language":[6,53,109],"tests":[7],"is":[8,96],"badly":[9],"need":[11],"of":[12,40,108],"a":[13,24],"mature":[14],"automated":[15,29],"essay":[16,31],"scoring":[17,32],"system.":[18,73],"In":[19],"this":[20],"paper,":[21],"we":[22],"propose":[23],"new":[25],"approach":[26],"applied":[27],"to":[28,66,143],"(ACES),":[33],"called":[34],"contextualized":[35],"latent":[36,80,89,134],"semantic":[37,81],"indexing":[38,82],"(CLSI),":[39],"which":[41,95],"Genuine":[42],"CLSI":[43,46,77,101,128],"and":[44,55,91,111,113,118,133,140],"Modified":[45],"are":[47,64],"two":[48,61],"versions.":[49],"n":[51],"-gram":[52],"model":[54],"the":[56,86,106,115],"weighted":[57],"finite-state":[58],"transducer":[59],"(WFST),":[60],"critical":[62],"components,":[63],"used":[65],"extract":[67],"context":[68,93],"information":[69],"our":[71],"ACES":[72],"Not":[74],"only":[75],"does":[76],"improve":[78],"conventional":[79],"(LSI),":[83],"but":[84],"bridges":[85],"gap":[87],"between":[88],"semantics":[90],"their":[92],"information,":[94],"absent":[97],"LSI.":[99,123],"Moreover,":[100],"can":[102],"score":[103],"essays":[104],"from":[105],"perspectives":[107],"fluency":[110],"contents,":[112],"address":[114],"local":[116],"overrating":[117],"underrating":[119],"problems":[120],"caused":[121],"by":[122],"Experimental":[124],"results":[125],"show":[126],"that":[127],"outperforms":[129],"LSI,":[130,132],"Regularized":[131],"Dirichlet":[135],"allocation":[136],"many":[138],"aspects,":[139],"thus,":[141],"proves":[142],"be":[144],"an":[145],"effective":[146],"approach.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2016-06-24T00:00:00"}
