{"id":"https://openalex.org/W2510438573","doi":"https://doi.org/10.18653/v1/p16-1075","title":"Constrained Multi-Task Learning for Automated Essay Scoring","display_name":"Constrained Multi-Task Learning for Automated Essay Scoring","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2510438573","doi":"https://doi.org/10.18653/v1/p16-1075","mag":"2510438573"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p16-1075","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1075","pdf_url":"https://www.aclweb.org/anthology/P16-1075.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P16-1075.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073506203","display_name":"Ronan Cummins","orcid":"https://orcid.org/0000-0001-9404-4220"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ronan Cummins","raw_affiliation_strings":["ALTA Institute Computer Lab University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ALTA Institute Computer Lab University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114763084","display_name":"Meng Zhang","orcid":"https://orcid.org/0009-0002-9009-9149"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["ALTA Institute Computer Lab University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ALTA Institute Computer Lab University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030189297","display_name":"Ted Briscoe","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ted Briscoe","raw_affiliation_strings":["ALTA Institute Computer Lab University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ALTA Institute Computer Lab University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"789","last_page":"799"},"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9950000047683716,"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":0.746975302696228},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7249239087104797},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.6905971765518188},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.5735470652580261},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5582639575004578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4978780746459961},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36950480937957764},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.30485981702804565},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07554137706756592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746975302696228},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7249239087104797},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6905971765518188},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.5735470652580261},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5582639575004578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4978780746459961},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36950480937957764},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.30485981702804565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07554137706756592},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/p16-1075","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1075","pdf_url":"https://www.aclweb.org/anthology/P16-1075.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/260414","is_oa":false,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/260414","pdf_url":null,"source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"},{"id":"doi:10.17863/cam.4647","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.4647","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Other"}],"best_oa_location":{"id":"doi:10.18653/v1/p16-1075","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1075","pdf_url":"https://www.aclweb.org/anthology/P16-1075.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2510438573.pdf","grobid_xml":"https://content.openalex.org/works/W2510438573.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W36556894","https://openalex.org/W174933446","https://openalex.org/W1549393725","https://openalex.org/W1952825087","https://openalex.org/W2001402876","https://openalex.org/W2002658919","https://openalex.org/W2013840160","https://openalex.org/W2047221353","https://openalex.org/W2057399676","https://openalex.org/W2062914707","https://openalex.org/W2096879700","https://openalex.org/W2097137621","https://openalex.org/W2098297786","https://openalex.org/W2101196113","https://openalex.org/W2117130368","https://openalex.org/W2120354757","https://openalex.org/W2124725212","https://openalex.org/W2129227538","https://openalex.org/W2144211451","https://openalex.org/W2158240052","https://openalex.org/W2158997610","https://openalex.org/W2170527467","https://openalex.org/W2250372169","https://openalex.org/W2250504379","https://openalex.org/W2250874787","https://openalex.org/W2250952041","https://openalex.org/W2251191978","https://openalex.org/W2251300660","https://openalex.org/W2251625298","https://openalex.org/W2251747978","https://openalex.org/W2251862950","https://openalex.org/W2518290665","https://openalex.org/W3025581287","https://openalex.org/W3034730645","https://openalex.org/W3154772965","https://openalex.org/W4237401773","https://openalex.org/W4241676240"],"related_works":["https://openalex.org/W2936184523","https://openalex.org/W4386926693","https://openalex.org/W4244035922","https://openalex.org/W4237970082","https://openalex.org/W2808875111","https://openalex.org/W4252732434","https://openalex.org/W924776604","https://openalex.org/W2772934883","https://openalex.org/W4245751933","https://openalex.org/W4382059428"],"abstract_inverted_index":{"Supervised":[0],"machine":[1],"learning":[2,50],"models":[3],"for":[4,21],"automated":[5],"essay":[6],"scoring":[7],"(AES)":[8],"usually":[9],"require":[10],"substantial":[11],"task-specific":[12],"training":[13],"data":[14,55],"in":[15,35],"order":[16],"to":[17,59],"make":[18],"accurate":[19],"predictions":[20],"a":[22,46],"particular":[23],"writing":[24],"task.":[25],"This":[26],"limitation":[27],"hinders":[28],"their":[29,33],"utility,":[30],"and":[31],"consequently":[32],"deployment":[34],"real-world":[36],"settings.":[37],"In":[38],"this":[39,43],"paper,":[40],"we":[41],"overcome":[42],"shortcoming":[44],"using":[45],"constrained":[47],"multi-task":[48],"pairwisepreference":[49],"approach":[51],"that":[52],"enables":[53],"the":[54],"from":[56],"multiple":[57],"tasks":[58],"be":[60],"combined":[61],"effectively.":[62]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
