{"id":"https://openalex.org/W2250296445","doi":"https://doi.org/10.18653/v1/k15-1001","title":"A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation","display_name":"A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2250296445","doi":"https://doi.org/10.18653/v1/k15-1001","mag":"2250296445"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k15-1001","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1001","pdf_url":"https://www.aclweb.org/anthology/K15-1001.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 Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K15-1001.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081885843","display_name":"Artem Sokolov","orcid":"https://orcid.org/0000-0002-8056-0504"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Artem Sokolov","raw_affiliation_strings":["Heidelberg University"],"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011749347","display_name":"Stefan Riezler","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Riezler","raw_affiliation_strings":["Heidelberg University"],"affiliations":[{"raw_affiliation_string":"Heidelberg University","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030503109","display_name":"Shay B. Cohen","orcid":"https://orcid.org/0000-0003-4753-8353"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shay B. Cohen","raw_affiliation_strings":["School of Informatics"],"affiliations":[{"raw_affiliation_string":"School of Informatics","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081885843"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":null,"apc_paid":null,"fwci":1.7804,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89134672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9991000294685364,"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":0.9990000128746033,"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":0.7467959523200989},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.6482547521591187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.641636848449707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6261337995529175},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6179733872413635},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.589053750038147},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.5850023031234741},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5779432058334351},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5769866108894348},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5543524026870728},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5095098614692688},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5073794722557068},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32643139362335205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14169785380363464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7467959523200989},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.6482547521591187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.641636848449707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6261337995529175},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6179733872413635},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.589053750038147},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.5850023031234741},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5779432058334351},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5769866108894348},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5543524026870728},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5095098614692688},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5073794722557068},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32643139362335205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14169785380363464},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/k15-1001","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1001","pdf_url":"https://www.aclweb.org/anthology/K15-1001.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 Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.8805","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.8805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cl.uni-heidelberg.de/%7Eriezler/publications/papers/CONLL2015.pdf","raw_type":"text"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/aa69ca38-a977-42af-9441-287eede16881","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/aa69ca38-a977-42af-9441-287eede16881","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"Sokolov, A, Riezler, S & Cohen, S B 2015, A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation. in Proceedings of the Nineteenth Conference on Computational Natural Language Learning. pp. 1-11. < http://www.aclweb.org/anthology/K15-1001 >","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/aa69ca38-a977-42af-9441-287eede16881","is_oa":true,"landing_page_url":"http://www.aclweb.org/anthology/K15-1001","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.18653/v1/k15-1001","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1001","pdf_url":"https://www.aclweb.org/anthology/K15-1001.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 Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5398132153","display_name":null,"funder_award_id":"DFG grant","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250296445.pdf","grobid_xml":"https://content.openalex.org/works/W2250296445.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W45109703","https://openalex.org/W91928571","https://openalex.org/W144133692","https://openalex.org/W179314280","https://openalex.org/W232191560","https://openalex.org/W950939656","https://openalex.org/W1570963478","https://openalex.org/W1899181831","https://openalex.org/W1979711143","https://openalex.org/W1986345088","https://openalex.org/W2008652694","https://openalex.org/W2012974849","https://openalex.org/W2019076594","https://openalex.org/W2023286866","https://openalex.org/W2025772227","https://openalex.org/W2053323879","https://openalex.org/W2061162698","https://openalex.org/W2077723394","https://openalex.org/W2093197119","https://openalex.org/W2102486516","https://openalex.org/W2109339818","https://openalex.org/W2111142112","https://openalex.org/W2115328410","https://openalex.org/W2120459453","https://openalex.org/W2123825474","https://openalex.org/W2124807415","https://openalex.org/W2128528573","https://openalex.org/W2134130436","https://openalex.org/W2134800885","https://openalex.org/W2140343992","https://openalex.org/W2143564602","https://openalex.org/W2146540262","https://openalex.org/W2146574666","https://openalex.org/W2147366477","https://openalex.org/W2148708890","https://openalex.org/W2149327368","https://openalex.org/W2155607551","https://openalex.org/W2158460069","https://openalex.org/W2158614781","https://openalex.org/W2159136976","https://openalex.org/W2160697141","https://openalex.org/W2162152253","https://openalex.org/W2166765763","https://openalex.org/W2250872883","https://openalex.org/W2251171258","https://openalex.org/W2251673953","https://openalex.org/W2251796964","https://openalex.org/W2252102852","https://openalex.org/W2252136820","https://openalex.org/W2312609093","https://openalex.org/W2319588593","https://openalex.org/W2595715041","https://openalex.org/W2953266551","https://openalex.org/W2989661724","https://openalex.org/W3170731508","https://openalex.org/W3202911835","https://openalex.org/W4243548576","https://openalex.org/W4292022450"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W2138302120","https://openalex.org/W1579653479","https://openalex.org/W2341060221","https://openalex.org/W144133692","https://openalex.org/W2789599845","https://openalex.org/W1853699608","https://openalex.org/W2250296445","https://openalex.org/W3022710845"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,15,60,93],"theoretical":[3],"analysis":[4],"of":[5,41,53,72],"online":[6],"parameter":[7],"tuning":[8],"in":[9,36,59,80,111,126],"statistical":[10],"machine":[11,98],"translation":[12,83],"(SMT)":[13],"from":[14,68],"coactive":[16,89],"learning":[17,48,67,90],"view.":[18],"This":[19,86],"perspective":[20],"allows":[21],"us":[22],"to":[23,63,78,124],"give":[24],"regret":[25,81],"and":[26,82,122],"generalization":[27],"bounds":[28],"for":[29,96],"latent":[30],"perceptron":[31],"algorithms":[32],"that":[33,66,70,88,103,108],"are":[34,109],"common":[35],"SMT,":[37,64],"but":[38],"fall":[39],"outside":[40],"the":[42,51,112],"standard":[43],"convex":[44],"optimization":[45],"scenario.":[46],"Coactive":[47],"also":[49],"introduces":[50],"concept":[52],"weak":[54,120],"feedback,":[55],"which":[56],"we":[57,101],"apply":[58],"proofof-concept":[61],"experiment":[62],"showing":[65],"feedback":[69,121],"consists":[71],"slight":[73],"improvements":[74],"over":[75],"predictions":[76],"leads":[77],"convergence":[79,125],"error":[84],"rate.":[85],"suggests":[87],"might":[91],"be":[92,117],"viable":[94],"framework":[95],"interactive":[97],"translation.":[99],"Furthermore,":[100],"find":[102],"surrogate":[104],"translations":[105],"replacing":[106],"references":[107],"unreachable":[110],"decoder":[113],"search":[114],"space":[115],"can":[116],"interpreted":[118],"as":[119],"lead":[123],"learning,":[127],"if":[128],"they":[129],"admit":[130],"an":[131],"underlying":[132],"linear":[133],"model.":[134]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
