{"id":"https://openalex.org/W2181464929","doi":"https://doi.org/10.1162/tacl_a_00221","title":"Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction","display_name":"Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2181464929","doi":"https://doi.org/10.1162/tacl_a_00221","mag":"2181464929"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00221","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00221","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1162/tacl_a_00221","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076904467","display_name":"Ming\u2010Wei Chang","orcid":"https://orcid.org/0000-0002-0137-8895"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ming-Wei Chang","raw_affiliation_strings":["Microsoft Research, Redmond, WA 98052, USA,"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA 98052, USA,","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066873932","display_name":"Wen-tau Yih","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wen-tau Yih","raw_affiliation_strings":["Microsoft Research, Redmond, WA 98052, USA,"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA 98052, USA,","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066873932","https://openalex.org/A5076904467"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":4.4481,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.94627079,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"207","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8715748190879822},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6868972182273865},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.6687049269676208},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.6453499794006348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6406363248825073},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6302787661552429},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5867249369621277},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5853270888328552},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5694435238838196},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.5558663606643677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5438331961631775},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5361091494560242},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4755227863788605},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4315495491027832},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.4288630485534668},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.42070186138153076},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.41555511951446533},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4121347665786743},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2884131073951721}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8715748190879822},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6868972182273865},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.6687049269676208},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.6453499794006348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6406363248825073},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6302787661552429},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5867249369621277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5853270888328552},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5694435238838196},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.5558663606643677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5438331961631775},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5361091494560242},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4755227863788605},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4315495491027832},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.4288630485534668},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.42070186138153076},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.41555511951446533},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4121347665786743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2884131073951721},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1162/tacl_a_00221","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00221","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.396.3525","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.396.3525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wing.comp.nus.edu.sg/~antho/Q/Q13/Q13-1017.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:0b509a48363b4d57aa677a0f84c864ad","is_oa":true,"landing_page_url":"https://doaj.org/article/0b509a48363b4d57aa677a0f84c864ad","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 1 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00221","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00221","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W18289225","https://openalex.org/W147273232","https://openalex.org/W1536616638","https://openalex.org/W1574662932","https://openalex.org/W1632114991","https://openalex.org/W1792316426","https://openalex.org/W1877183374","https://openalex.org/W1893264043","https://openalex.org/W1939652453","https://openalex.org/W1979711143","https://openalex.org/W2004763266","https://openalex.org/W2008652694","https://openalex.org/W2031248101","https://openalex.org/W2052449326","https://openalex.org/W2069317438","https://openalex.org/W2093417350","https://openalex.org/W2100564780","https://openalex.org/W2103404183","https://openalex.org/W2104820387","https://openalex.org/W2106310992","https://openalex.org/W2116410915","https://openalex.org/W2117669906","https://openalex.org/W2119388680","https://openalex.org/W2125993116","https://openalex.org/W2128774237","https://openalex.org/W2142623206","https://openalex.org/W2144578941","https://openalex.org/W2147196093","https://openalex.org/W2147880316","https://openalex.org/W2149335048","https://openalex.org/W2150024778","https://openalex.org/W2150102617","https://openalex.org/W2158139315","https://openalex.org/W2161002641","https://openalex.org/W2165966284","https://openalex.org/W2242265910","https://openalex.org/W2407980920","https://openalex.org/W2429914308","https://openalex.org/W2914605928","https://openalex.org/W4249572517"],"related_works":["https://openalex.org/W4286693783","https://openalex.org/W3175914740","https://openalex.org/W3034587794","https://openalex.org/W4294982320","https://openalex.org/W2399042127","https://openalex.org/W2020098476","https://openalex.org/W2356529274","https://openalex.org/W2953288298","https://openalex.org/W2415062102","https://openalex.org/W2963548222"],"abstract_inverted_index":{"Due":[0],"to":[1],"the":[2,40,49,92],"nature":[3],"of":[4,20,53,87],"complex":[5],"NLP":[6,50,122],"problems,":[7],"structured":[8,38],"prediction":[9],"algorithms":[10,75],"have":[11],"been":[12],"important":[13],"modeling":[14],"tools":[15],"for":[16,72,124],"a":[17,64,98],"wide":[18],"range":[19],"tasks.":[21],"While":[22],"there":[23],"exists":[24],"evidence":[25],"showing":[26],"that":[27],"linear":[28],"Structural":[29],"Support":[30],"Vector":[31],"Machine":[32],"(SSVM)":[33],"algorithm":[34,42,71],"performs":[35],"better":[36,115],"than":[37],"Perceptron,":[39],"SSVM":[41],"is":[43,103],"still":[44],"less":[45],"frequently":[46],"chosen":[47],"in":[48],"community":[51],"because":[52],"its":[54],"relatively":[55],"slow":[56],"training":[57,101],"speed.":[58],"In":[59],"this":[60,100],"paper,":[61],"we":[62],"propose":[63],"fast":[65],"and":[66,79,90,111,129],"easy-to-implement":[67],"dual":[68,88],"coordinate":[69],"descent":[70],"SSVMs.":[73],"Unlike":[74],"such":[76],"as":[77,104,106,117],"Perceptron":[78],"stochastic":[80],"gradient":[81],"descent,":[82],"our":[83],"method":[84],"keeps":[85],"track":[86],"variables":[89],"updates":[91],"weight":[93],"vector":[94],"more":[95],"aggressively.":[96],"As":[97],"result,":[99],"process":[102],"efficient":[105],"existing":[107],"online":[108],"learning":[109],"methods,":[110],"yet":[112],"derives":[113],"consistently":[114],"models,":[116],"evaluated":[118],"on":[119],"four":[120],"benchmark":[121],"datasets":[123],"part-of-speech":[125],"tagging,":[126],"named-entity":[127],"recognition":[128],"dependency":[130],"parsing.":[131]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
