{"id":"https://openalex.org/W2251732921","doi":"https://doi.org/10.3115/v1/p14-2088","title":"Fast Easy Unsupervised Domain Adaptation with Marginalized Structured Dropout","display_name":"Fast Easy Unsupervised Domain Adaptation with Marginalized Structured Dropout","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251732921","doi":"https://doi.org/10.3115/v1/p14-2088","mag":"2251732921"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p14-2088","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2088","pdf_url":"https://aclanthology.org/P14-2088.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/P14-2088.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005421447","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-0512-880X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["School of Interactive Computing Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Interactive Computing Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047699861","display_name":"Jacob Eisenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Eisenstein","raw_affiliation_strings":["School of Interactive Computing Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Interactive Computing Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"538","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.998199999332428,"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":0.9965999722480774,"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/dropout","display_name":"Dropout (neural networks)","score":0.7766753435134888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7672335505485535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6349483728408813},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6209918260574341},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5988516211509705},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5529136061668396},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5239663124084473},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.521844744682312},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5153688788414001},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5073921084403992},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4625474810600281},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45297497510910034},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4457027018070221},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4293522834777832},{"id":"https://openalex.org/keywords/portuguese","display_name":"Portuguese","score":0.41146695613861084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.409898579120636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09735801815986633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0796785056591034},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.073874831199646},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07117301225662231}],"concepts":[{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.7766753435134888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672335505485535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6349483728408813},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6209918260574341},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5988516211509705},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5529136061668396},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5239663124084473},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.521844744682312},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5153688788414001},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5073921084403992},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4625474810600281},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45297497510910034},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4457027018070221},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4293522834777832},{"id":"https://openalex.org/C35219183","wikidata":"https://www.wikidata.org/wiki/Q5146","display_name":"Portuguese","level":2,"score":0.41146695613861084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.409898579120636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09735801815986633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0796785056591034},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.073874831199646},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07117301225662231},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/p14-2088","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2088","pdf_url":"https://aclanthology.org/P14-2088.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.649.5698","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.5698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cc.gatech.edu/~jeisenst/papers/yang-acl-2014.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.667.902","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.667.902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/P/P14/P14-2088.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/p14-2088","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-2088","pdf_url":"https://aclanthology.org/P14-2088.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 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G2446927264","display_name":"EAGER: Exploring Adapting Language Technology Across a Network of Domains","funder_award_id":"1349837","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/W2251732921.pdf","grobid_xml":"https://content.openalex.org/works/W2251732921.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W70524345","https://openalex.org/W91242194","https://openalex.org/W113837456","https://openalex.org/W1481637566","https://openalex.org/W1558068806","https://openalex.org/W1561823207","https://openalex.org/W1773803948","https://openalex.org/W1904365287","https://openalex.org/W1996430422","https://openalex.org/W2025768430","https://openalex.org/W2096873754","https://openalex.org/W2098949613","https://openalex.org/W2099153428","https://openalex.org/W2101761627","https://openalex.org/W2104936489","https://openalex.org/W2107611725","https://openalex.org/W2111362445","https://openalex.org/W2120354757","https://openalex.org/W2129625650","https://openalex.org/W2138238723","https://openalex.org/W2147093486","https://openalex.org/W2156387975","https://openalex.org/W2158108973","https://openalex.org/W2163302275","https://openalex.org/W2165698076","https://openalex.org/W2250968750","https://openalex.org/W2949821452","https://openalex.org/W3146885639"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W2912615426","https://openalex.org/W3174759195","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W4308619659","https://openalex.org/W3213069564","https://openalex.org/W4378421684","https://openalex.org/W4294203825"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1],"adaptation":[2],"often":[3],"relies":[4],"on":[5,60],"transforming":[6],"the":[7,21,54],"instance":[8],"representation.":[9],"However,":[10],"most":[11],"such":[12],"approaches":[13],"are":[14],"designed":[15],"for":[16],"bag-of-words":[17],"models,":[18],"and":[19,48],"ignore":[20],"structured":[22,37,67],"features":[23],"present":[24],"in":[25,28],"many":[26],"problems":[27],"NLP.":[29],"We":[30],"propose":[31],"a":[32,45,61],"new":[33],"technique":[34],"called":[35],"marginalized":[36,66],"dropout,":[38],"which":[39],"exploits":[40],"feature":[41,50],"structure":[42],"to":[43,53],"obtain":[44],"remarkably":[46],"simple":[47],"efficient":[49],"projection.":[51],"Applied":[52],"task":[55],"of":[56,63],"fine-grained":[57],"part-of-speech":[58],"tagging":[59],"dataset":[62],"historical":[64],"Portuguese,":[65],"dropout":[68],"yields":[69],"state-of-the-art":[70],"accuracy":[71],"while":[72],"increasing":[73],"speed":[74],"by":[75],"more":[76],"than":[77],"an":[78],"order-ofmagnitude":[79],"over":[80],"previous":[81],"work.":[82]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}