{"id":"https://openalex.org/W3120267664","doi":"https://doi.org/10.18653/v1/2020.wmt-1.120","title":"TMUOU Submission for WMT20 Quality Estimation Shared Task","display_name":"TMUOU Submission for WMT20 Quality Estimation Shared Task","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3120267664","doi":"https://doi.org/10.18653/v1/2020.wmt-1.120","mag":"3120267664"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2020.wmt-1.120","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.wmt-1.120","pdf_url":"https://aclanthology.org/2020.wmt-1.120.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 Fifth Conference on Machine Translation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2020.wmt-1.120.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057750797","display_name":"Akifumi Nakamachi","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akifumi Nakamachi","raw_affiliation_strings":["Osaka University Osaka University Tokyo Metropolitan University Tokyo Metropolitan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University Osaka University Tokyo Metropolitan University Tokyo Metropolitan University","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021461379","display_name":"Hiroki Shimanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Shimanaka","raw_affiliation_strings":["Osaka University Osaka University Tokyo Metropolitan University Tokyo Metropolitan University","Tokyo Metropolitan University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University Osaka University Tokyo Metropolitan University Tokyo Metropolitan University","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006117547","display_name":"Tomoyuki Kajiwara","orcid":"https://orcid.org/0000-0002-3233-4879"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoyuki Kajiwara","raw_affiliation_strings":["Osaka University Osaka University Tokyo Metropolitan University Tokyo Metropolitan University","Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University Osaka University Tokyo Metropolitan University Tokyo Metropolitan University","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061931124","display_name":"Mamoru Komachi","orcid":"https://orcid.org/0000-0003-1166-1739"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mamoru Komachi","raw_affiliation_strings":["Osaka University Osaka University Tokyo Metropolitan University Tokyo Metropolitan University","Tokyo Metropolitan University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University Osaka University Tokyo Metropolitan University Tokyo Metropolitan University","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"1037","last_page":"1041"},"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/T13629","display_name":"Text Readability and Simplification","score":0.9983000159263611,"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":0.8067967295646667},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7447640299797058},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5666146278381348},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5603020191192627},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5426287651062012},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5423832535743713},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.540283203125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49267107248306274},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.48628222942352295},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.45986485481262207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3313885033130646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32032135128974915},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22407454252243042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09768292307853699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067967295646667},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7447640299797058},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5666146278381348},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5603020191192627},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5426287651062012},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5423832535743713},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.540283203125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49267107248306274},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48628222942352295},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.45986485481262207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3313885033130646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32032135128974915},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22407454252243042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09768292307853699},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/v1/2020.wmt-1.120","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.wmt-1.120","pdf_url":"https://aclanthology.org/2020.wmt-1.120.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 Fifth Conference on Machine Translation","raw_type":"proceedings-article"},{"id":"mag:3120267664","is_oa":false,"landing_page_url":"https://aclanthology.org/2020.wmt-1.120/","pdf_url":null,"source":{"id":"https://openalex.org/S4306418267","display_name":"Empirical Methods in Natural Language Processing","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Empirical Methods in Natural Language Processing","raw_type":null}],"best_oa_location":{"id":"doi:10.18653/v1/2020.wmt-1.120","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.wmt-1.120","pdf_url":"https://aclanthology.org/2020.wmt-1.120.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 Fifth Conference on Machine Translation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338246","display_name":"ACT-X","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3120267664.pdf","grobid_xml":"https://content.openalex.org/works/W3120267664.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W2004156982","https://openalex.org/W2101105183","https://openalex.org/W2101234009","https://openalex.org/W2144746247","https://openalex.org/W2149327368","https://openalex.org/W2757980860","https://openalex.org/W2891177506","https://openalex.org/W2894218541","https://openalex.org/W2903188467","https://openalex.org/W2903376039","https://openalex.org/W2915756181","https://openalex.org/W2933138175","https://openalex.org/W2953072129","https://openalex.org/W2963310665","https://openalex.org/W2963341956","https://openalex.org/W2963644595","https://openalex.org/W2963918774","https://openalex.org/W2964121744","https://openalex.org/W2966292672","https://openalex.org/W2970791445","https://openalex.org/W2971120958","https://openalex.org/W3035390927","https://openalex.org/W3119881489"],"related_works":["https://openalex.org/W2511164486","https://openalex.org/W3200829979","https://openalex.org/W71896076","https://openalex.org/W2971074957","https://openalex.org/W1814624322","https://openalex.org/W3093374751","https://openalex.org/W2514694861","https://openalex.org/W2963088657","https://openalex.org/W3120791402","https://openalex.org/W2970185230","https://openalex.org/W651894412","https://openalex.org/W2251610689","https://openalex.org/W2916548775","https://openalex.org/W2915756181","https://openalex.org/W2251979322","https://openalex.org/W3120708494","https://openalex.org/W2903188467","https://openalex.org/W2889964337","https://openalex.org/W2508316494","https://openalex.org/W95682282"],"abstract_inverted_index":{"We":[0],"introduce":[1],"the":[2,7],"TMUOU":[3],"1":[4],"submission":[5],"for":[6],"WMT20":[8],"Quality":[9],"Estimation":[10],"Shared":[11],"Task":[12],"1:":[13],"Sentence-Level":[14],"Direct":[15],"Assessment.Our":[16],"system":[17],"is":[18],"an":[19],"ensemble":[20],"model":[21],"of":[22],"four":[23],"regression":[24],"models":[25],"based":[26],"on":[27,42],"XLM-RoBERTa":[28],"with":[29],"language":[30],"tags.We":[31],"ranked":[32],"4th":[33],"in":[34,38],"Pearson":[35],"and":[36,40],"2nd":[37],"MAE":[39],"RMSE":[41],"a":[43],"multilingual":[44],"track.":[45]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2021-01-18T00:00:00"}
