{"id":"https://openalex.org/W2970811405","doi":"https://doi.org/10.18653/v1/w19-4450","title":"Automated Essay Scoring with Discourse-Aware Neural Models","display_name":"Automated Essay Scoring with Discourse-Aware Neural Models","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970811405","doi":"https://doi.org/10.18653/v1/w19-4450","mag":"2970811405"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-4450","doi":"https://doi.org/10.18653/v1/w19-4450","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4450","pdf_url":"https://www.aclweb.org/anthology/W19-4450.pdf","source":{"id":"https://openalex.org/S4306421257","display_name":"Workshop on Innovative Use of NLP for Building Educational Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.aclweb.org/anthology/W19-4450.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019338045","display_name":"Farah Nadeem","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farah Nadeem","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075432565","display_name":"Nguy\u1ec5n V\u0103n Huy","orcid":"https://orcid.org/0000-0002-5896-9661","observed_orcids":["https://orcid.org/0000-0002-5896-9661"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huy Nguyen","raw_affiliation_strings":["LAIX Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAIX Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086000078","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-3087-242X","observed_orcids":["https://orcid.org/0000-0002-3087-242X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["LAIX Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LAIX Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087215613","display_name":"Mari Ostendorf E","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mari Ostendorf","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1703,"has_fulltext":true,"cited_by_count":88,"citation_normalized_percentile":{"value":0.9406025,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"484","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.453900009393692,"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":0.453900009393692,"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":0.20309999585151672,"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":0.037300001829862595,"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/automated-essay-scoring","display_name":"automated essay scoring","score":0.9980000257492065},{"id":"https://openalex.org/keywords/contextualized-embeddings","display_name":"contextual embeddings","score":0.9369999766349792},{"id":"https://openalex.org/keywords/pre-training-strategies","display_name":"pre-training strategies","score":0.9539999961853027},{"id":"https://openalex.org/keywords/neural-network-architecture","display_name":"neural network architecture","score":0.6470000147819519},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"feature engineering","score":0.5379999876022339},{"id":"https://openalex.org/keywords/low-resource-training-data","display_name":"low-resource training data","score":0.753000020980835}],"concepts":[{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.8267052173614502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7738834619522095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6667320132255554},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6401638984680176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6205724477767944},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5105860829353333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5055387020111084},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.47874897718429565},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.46947821974754333},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3552006781101227},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34885895252227783},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07932814955711365},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w19-4450","doi":"https://doi.org/10.18653/v1/w19-4450","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4450","pdf_url":"https://www.aclweb.org/anthology/W19-4450.pdf","source":{"id":"https://openalex.org/S4306421257","display_name":"Workshop on Innovative Use of NLP for Building Educational Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-4450","doi":"https://doi.org/10.18653/v1/w19-4450","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4450","pdf_url":"https://www.aclweb.org/anthology/W19-4450.pdf","source":{"id":"https://openalex.org/S4306421257","display_name":"Workshop on Innovative Use of NLP for Building Educational Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6164000034332275,"display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970811405.pdf","grobid_xml":"https://content.openalex.org/works/W2970811405.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W214995755","https://openalex.org/W1566289585","https://openalex.org/W1593930920","https://openalex.org/W1840435438","https://openalex.org/W2017590850","https://openalex.org/W2055011070","https://openalex.org/W2088696944","https://openalex.org/W2105845572","https://openalex.org/W2106160358","https://openalex.org/W2109462987","https://openalex.org/W2131744502","https://openalex.org/W2212703438","https://openalex.org/W2250539671","https://openalex.org/W2338684463","https://openalex.org/W2470673105","https://openalex.org/W2513082738","https://openalex.org/W2560739164","https://openalex.org/W2567547739","https://openalex.org/W2586597293","https://openalex.org/W2610858497","https://openalex.org/W2784454842","https://openalex.org/W2787560479","https://openalex.org/W2789064996","https://openalex.org/W2794557536","https://openalex.org/W2798046862","https://openalex.org/W2798374729","https://openalex.org/W2799207367","https://openalex.org/W2806146112","https://openalex.org/W2885835829","https://openalex.org/W2896457183","https://openalex.org/W2898637464","https://openalex.org/W2913657017","https://openalex.org/W2921848006","https://openalex.org/W2953084091","https://openalex.org/W2955792000","https://openalex.org/W2963266340","https://openalex.org/W2963341956"],"related_works":["https://openalex.org/W2567547739","https://openalex.org/W2564237127","https://openalex.org/W4402509517","https://openalex.org/W4283519693","https://openalex.org/W4401023568","https://openalex.org/W3212238516","https://openalex.org/W4405400063","https://openalex.org/W3169912503","https://openalex.org/W2757310600","https://openalex.org/W3179021012"],"abstract_inverted_index":{"Automated":[0],"essay":[1,11,56],"scoring":[2,57],"systems":[3,15],"typically":[4,33],"rely":[5],"on":[6,54],"hand-crafted":[7],"features":[8],"to":[9,28],"predict":[10],"quality,":[12],"but":[13,31],"such":[14],"are":[16],"limited":[17],"by":[18],"the":[19],"cost":[20],"of":[21,52],"feature":[22,29],"engineering.Neural":[23],"networks":[24],"offer":[25],"an":[26],"alternative":[27],"engineering,":[30],"they":[32],"require":[34],"more":[35,72],"annotated":[36],"data.This":[37],"paper":[38],"explores":[39],"network":[40],"structures,":[41],"contextualized":[42],"embeddings":[43],"and":[44],"pre-training":[45],"strategies":[46,64],"aimed":[47],"at":[48],"capturing":[49],"discourse":[50],"characteristics":[51],"essays.Experiments":[53],"three":[55,63],"tasks":[58],"show":[59],"benefits":[60],"from":[61],"all":[62],"in":[65],"different":[66],"combinations,":[67],"with":[68],"simpler":[69],"architectures":[70],"being":[71],"effective":[73],"when":[74],"less":[75],"training":[76],"data":[77],"is":[78],"available.":[79]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":12}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2019-09-05T00:00:00"}
