{"id":"https://openalex.org/W2744961584","doi":"https://doi.org/10.18653/v1/w17-4778","title":"The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task","display_name":"The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2744961584","doi":"https://doi.org/10.18653/v1/w17-4778","mag":"2744961584"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-4778","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4778","pdf_url":"https://www.aclweb.org/anthology/W17-4778.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 Second Conference on Machine Translation","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-4778.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068614789","display_name":"Amr Sharaf","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amr Sharaf","raw_affiliation_strings":["Department of Computer Science University of Maryland, College Park"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057958949","display_name":"Shi Feng","orcid":"https://orcid.org/0000-0002-2846-7652"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shi Feng","raw_affiliation_strings":["Department of Computer Science University of Maryland, College Park"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101639120","display_name":"Khanh Nguyen","orcid":"https://orcid.org/0000-0002-0684-9406"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khanh Nguyen","raw_affiliation_strings":["Department of Computer Science University of Maryland, College Park"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022968100","display_name":"Kiant\u00e9 Brantley","orcid":"https://orcid.org/0000-0002-8395-594X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kiante Brantley","raw_affiliation_strings":["Department of Computer Science University of Maryland, College Park"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019928111","display_name":"Hal Daum\u00e9","orcid":"https://orcid.org/0000-0002-3760-345X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hal Daum\u00e9 III","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068614789"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10503841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"667","last_page":"673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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":0.9993000030517578,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9983999729156494,"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":0.7801913022994995},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7683789730072021},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7479057312011719},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7326245307922363},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6760990619659424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.650039792060852},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6458946466445923},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.6011896133422852},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5962852835655212},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5457332730293274},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4932982325553894},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4791564345359802},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4573274850845337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41841283440589905},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10740560293197632},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08537659049034119},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.062387704849243164},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.05302509665489197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7801913022994995},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7683789730072021},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7479057312011719},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7326245307922363},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6760990619659424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650039792060852},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6458946466445923},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.6011896133422852},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5962852835655212},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5457332730293274},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4932982325553894},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4791564345359802},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4573274850845337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41841283440589905},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10740560293197632},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08537659049034119},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.062387704849243164},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.05302509665489197},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/w17-4778","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4778","pdf_url":"https://www.aclweb.org/anthology/W17-4778.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 Second Conference on Machine Translation","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1708.01318","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.01318","pdf_url":"https://arxiv.org/pdf/1708.01318","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2744961584","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/1708.01318.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1708.01318","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1708.01318","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-4778","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4778","pdf_url":"https://www.aclweb.org/anthology/W17-4778.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 Second Conference on Machine Translation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3020253667","display_name":"RI: Small: Linguistic Semantics and Discourse from Leaky Distant Supervision","funder_award_id":"1618193","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2744961584.pdf","grobid_xml":"https://content.openalex.org/works/W2744961584.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1562877468","https://openalex.org/W1998498767","https://openalex.org/W2095705004","https://openalex.org/W2110006374","https://openalex.org/W2117278770","https://openalex.org/W2134800885","https://openalex.org/W2147488445","https://openalex.org/W2411447566","https://openalex.org/W2513592723","https://openalex.org/W2574872930","https://openalex.org/W2609616693","https://openalex.org/W2951270685","https://openalex.org/W2962784628","https://openalex.org/W2964043796"],"related_works":["https://openalex.org/W2962882795","https://openalex.org/W2799836808","https://openalex.org/W2963448280","https://openalex.org/W2948044166","https://openalex.org/W3123985736","https://openalex.org/W3108223518","https://openalex.org/W950939656","https://openalex.org/W3140473045","https://openalex.org/W3131692382","https://openalex.org/W2946379889","https://openalex.org/W2950934423","https://openalex.org/W3133144456","https://openalex.org/W1576830888","https://openalex.org/W2891439916","https://openalex.org/W3200361725","https://openalex.org/W2928161238","https://openalex.org/W1519342765","https://openalex.org/W3145127497","https://openalex.org/W2963018216","https://openalex.org/W3173625271"],"abstract_inverted_index":{"We":[0],"describe":[1],"the":[2,11,33,84],"University":[3],"of":[4,98],"Maryland":[5],"machine":[6,66],"translation":[7,23,67],"systems":[8],"submitted":[9],"to":[10,20,25,39,80],"WMT17":[12],"German-English":[13],"Bandit":[14],"Learning":[15],"Task.":[16],"The":[17],"task":[18],"is":[19],"adapt":[21],"a":[22,26,36,48,63,95],"system":[24,34,68],"new":[27],"domain,":[28],"using":[29,91],"only":[30,46],"bandit":[31,59,85],"feedback:":[32],"receives":[35],"German":[37],"sentence":[38],"translate,":[40],"produces":[41],"an":[42],"English":[43],"sentence,":[44],"and":[45,58,69,87],"gets":[47],"scalar":[49],"score":[50],"as":[51],"feedback.":[52],"Targeting":[53],"these":[54],"two":[55,73],"challenges":[56],"(adaptation":[57],"learning),":[60],"we":[61],"built":[62],"standard":[64],"neural":[65],"extended":[70],"it":[71],"in":[72],"ways:":[74],"(1)":[75],"robust":[76],"reinforcement":[77],"learning":[78],"techniques":[79],"learn":[81],"effectively":[82],"from":[83,94],"feedback,":[86],"(2)":[88],"domain":[89],"adaptation":[90],"data":[92],"selection":[93],"large":[96],"corpus":[97],"parallel":[99],"data.":[100]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
