{"id":"https://openalex.org/W2754510188","doi":"https://doi.org/10.18653/v1/w17-5031","title":"Transparent text quality assessment with convolutional neural networks","display_name":"Transparent text quality assessment with convolutional neural networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2754510188","doi":"https://doi.org/10.18653/v1/w17-5031","mag":"2754510188"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-5031","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5031","pdf_url":"https://www.aclweb.org/anthology/W17-5031.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 12th Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-5031.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103282437","display_name":"Robert \u00d6stling","orcid":"https://orcid.org/0000-0002-6027-4156"},"institutions":[{"id":"https://openalex.org/I161593684","display_name":"Stockholm University","ror":"https://ror.org/05f0yaq80","country_code":"SE","type":"education","lineage":["https://openalex.org/I161593684"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Robert \u00d6stling","raw_affiliation_strings":["Department of Linguistics, Stockholm University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics, Stockholm University","institution_ids":["https://openalex.org/I161593684"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005278470","display_name":"Gintar\u0117 Grigonyt\u0117","orcid":null},"institutions":[{"id":"https://openalex.org/I161593684","display_name":"Stockholm University","ror":"https://ror.org/05f0yaq80","country_code":"SE","type":"education","lineage":["https://openalex.org/I161593684"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gintare Grigonyte","raw_affiliation_strings":["Department of Linguistics, Stockholm University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics, Stockholm University","institution_ids":["https://openalex.org/I161593684"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161593684"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9801999926567078,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9801999926567078,"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":0.9700000286102295,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9678999781608582,"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":0.8357073068618774},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7272852063179016},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7200609445571899},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6814541816711426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6720391511917114},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6511731147766113},{"id":"https://openalex.org/keywords/text-corpus","display_name":"Text corpus","score":0.562377393245697},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4466090202331543},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.41858458518981934},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4149266183376312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8357073068618774},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7272852063179016},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7200609445571899},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6814541816711426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6720391511917114},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6511731147766113},{"id":"https://openalex.org/C2474386","wikidata":"https://www.wikidata.org/wiki/Q461183","display_name":"Text corpus","level":2,"score":0.562377393245697},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4466090202331543},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.41858458518981934},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4149266183376312},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/w17-5031","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5031","pdf_url":"https://www.aclweb.org/anthology/W17-5031.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 12th Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:su-146823","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-146823","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-5031","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5031","pdf_url":"https://www.aclweb.org/anthology/W17-5031.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 12th Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2754510188.pdf","grobid_xml":"https://content.openalex.org/works/W2754510188.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1549393725","https://openalex.org/W1836465849","https://openalex.org/W2075134446","https://openalex.org/W2124725212","https://openalex.org/W2158240052","https://openalex.org/W2165608467","https://openalex.org/W2302255633","https://openalex.org/W2510438573","https://openalex.org/W2511794618","https://openalex.org/W2518658773","https://openalex.org/W2525907473","https://openalex.org/W2531207078","https://openalex.org/W2564237127","https://openalex.org/W2567547739","https://openalex.org/W2949117887","https://openalex.org/W2964046515","https://openalex.org/W2964121744","https://openalex.org/W3098654368","https://openalex.org/W3124522743","https://openalex.org/W4295803838"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W1889624880","https://openalex.org/W2229372569"],"abstract_inverted_index":{"We":[0,84],"present":[1],"a":[2,12,53,72,91,100,120],"very":[3],"simple":[4],"model":[5,41,118],"for":[6],"text":[7,27,34,66,112],"quality":[8,47,113],"assessment":[9],"based":[10],"on":[11,88],"deep":[13],"convolutional":[14],"neural":[15],"network,":[16],"where":[17,60],"the":[18,65,111],"only":[19],"supervision":[20],"required":[21],"is":[22,42,119],"one":[23,32],"corpus":[24,35,93,102],"of":[25,28,36,52,64,94,103,124],"usergenerated":[26],"varying":[29],"quality,":[30],"and":[31,99,108,128],"contrasting":[33],"consistently":[37],"high":[38],"quality.":[39],"Our":[40],"able":[43],"to":[44,74],"provide":[45],"local":[46],"assessments":[48],"in":[49],"different":[50],"parts":[51,63],"text,":[54],"which":[55,76],"allows":[56],"visual":[57],"feedback":[58],"about":[59],"potentially":[61],"problematic":[62],"are":[67,79],"located,":[68],"as":[69,71],"well":[70],"way":[73],"evaluate":[75,85],"textual":[77],"features":[78],"captured":[80],"by":[81,116],"our":[82,86,117],"model.":[83],"method":[87],"two":[89],"corpora:":[90],"large":[92],"manually":[95],"graded":[96],"student":[97],"essays":[98],"longitudinal":[101],"language":[104],"learner":[105,129],"written":[106],"production,":[107],"find":[109],"that":[110],"metric":[114],"learned":[115],"fairly":[121],"strong":[122],"predictor":[123],"both":[125],"essay":[126],"grade":[127],"proficiency":[130],"level.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}