{"id":"https://openalex.org/W4396680903","doi":"https://doi.org/10.1162/tacl_a_00658","title":"Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization","display_name":"Simultaneous Selection and Adaptation of Source Data via Four-Level Optimization","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396680903","doi":"https://doi.org/10.1162/tacl_a_00658"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00658","doi":"https://doi.org/10.1162/tacl_a_00658","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00658","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,"listed_in":["ccf-b","cwts-core","doaj","dongbi-b","jufo-1","norway-2","poland-20","russia-white-list-1"],"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"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1162/tacl_a_00658","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083884675","display_name":"Pengtao Xie","orcid":"https://orcid.org/0000-0003-0521-174X","observed_orcids":["https://orcid.org/0000-0003-0521-174X"]},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pengtao Xie","raw_affiliation_strings":["UC San Diego, USA. p1xie@ucsd.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC San Diego, USA. p1xie@ucsd.edu","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101447876","display_name":"Xingchen Zhao","orcid":"https://orcid.org/0009-0008-6000-3314","observed_orcids":["https://orcid.org/0009-0008-6000-3314"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingchen Zhao","raw_affiliation_strings":["Northeastern University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101181260","display_name":"Xuehai He","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuehai He","raw_affiliation_strings":["UC Santa Cruz, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Santa Cruz, USA","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083884675"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.1081,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37712624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"12","issue":null,"first_page":"449","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9907000064849854,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9907000064849854,"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/T10028","display_name":"Topic Modeling","score":0.005499999970197678,"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":0.0034000000450760126,"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/domain-adaptation","display_name":"domain adaptation","score":0.765999972820282},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7680000066757202},{"id":"https://openalex.org/keywords/data-insufficiency","display_name":"insufficient data","score":0.5440000295639038},{"id":"https://openalex.org/keywords/multilingual-nlp","display_name":"multilingual NLP","score":0.42800000309944153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8453832864761353},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7130795121192932},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6770366430282593},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3503914475440979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3240697383880615},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3229491412639618},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/tacl_a_00658","doi":"https://doi.org/10.1162/tacl_a_00658","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00658","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,"listed_in":["ccf-b","cwts-core","doaj","dongbi-b","jufo-1","norway-2","poland-20","russia-white-list-1"],"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:doaj.org/article:c7d27c59d42c4bd2b4cc62b09c1af901","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/c7d27c59d42c4bd2b4cc62b09c1af901","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 12 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00658","doi":"https://doi.org/10.1162/tacl_a_00658","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00658","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,"listed_in":["ccf-b","cwts-core","doaj","dongbi-b","jufo-1","norway-2","poland-20","russia-white-list-1"],"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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":113,"referenced_works":["https://openalex.org/W304676660","https://openalex.org/W1522301498","https://openalex.org/W1554540371","https://openalex.org/W1583837637","https://openalex.org/W1584308190","https://openalex.org/W1731081199","https://openalex.org/W1848260265","https://openalex.org/W1905522558","https://openalex.org/W1981658663","https://openalex.org/W2027731328","https://openalex.org/W2092012321","https://openalex.org/W2096943734","https://openalex.org/W2101105183","https://openalex.org/W2104094955","https://openalex.org/W2106837051","https://openalex.org/W2111362445","https://openalex.org/W2112483442","https://openalex.org/W2113459411","https://openalex.org/W2117278770","https://openalex.org/W2122156965","https://openalex.org/W2123470622","https://openalex.org/W2134845968","https://openalex.org/W2137901802","https://openalex.org/W2151498684","https://openalex.org/W2159291411","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2170240176","https://openalex.org/W2181083374","https://openalex.org/W2194775991","https://openalex.org/W2200000192","https://openalex.org/W2250522181","https://openalex.org/W2250539671","https://openalex.org/W2279376656","https://openalex.org/W2408201877","https://openalex.org/W2489569293","https://openalex.org/W2584009249","https://openalex.org/W2591789009","https://openalex.org/W2591924527","https://openalex.org/W2593390416","https://openalex.org/W2593768305","https://openalex.org/W2597452529","https://openalex.org/W2604763608","https://openalex.org/W2605488490","https://openalex.org/W2612690371","https://openalex.org/W2626778328","https://openalex.org/W2736422900","https://openalex.org/W2739759330","https://openalex.org/W2756978580","https://openalex.org/W2763421725","https://openalex.org/W2767657961","https://openalex.org/W2768282280","https://openalex.org/W2774772126","https://openalex.org/W2787415863","https://openalex.org/W2795155917","https://openalex.org/W2795282075","https://openalex.org/W2804243936","https://openalex.org/W2804541301","https://openalex.org/W2808556605","https://openalex.org/W2810075754","https://openalex.org/W2885318751","https://openalex.org/W2901026139","https://openalex.org/W2945328857","https://openalex.org/W2947813521","https://openalex.org/W2952841984","https://openalex.org/W2952989203","https://openalex.org/W2955041501","https://openalex.org/W2963049866","https://openalex.org/W2963233928","https://openalex.org/W2963532621","https://openalex.org/W2963693396","https://openalex.org/W2963718112","https://openalex.org/W2963954913","https://openalex.org/W2964024811","https://openalex.org/W2964288524","https://openalex.org/W2965373594","https://openalex.org/W2970231061","https://openalex.org/W2970711760","https://openalex.org/W2971252690","https://openalex.org/W2972413970","https://openalex.org/W2979920800","https://openalex.org/W2985449513","https://openalex.org/W2986381065","https://openalex.org/W2989650185","https://openalex.org/W2996043248","https://openalex.org/W2998666297","https://openalex.org/W3005680577","https://openalex.org/W3012608737","https://openalex.org/W3015453090","https://openalex.org/W3017961061","https://openalex.org/W3021747502","https://openalex.org/W3035519852","https://openalex.org/W3035524453","https://openalex.org/W3037674050","https://openalex.org/W3038656110","https://openalex.org/W3040398697","https://openalex.org/W3041133507","https://openalex.org/W3101531880","https://openalex.org/W3110080985","https://openalex.org/W3156473412","https://openalex.org/W3156636935","https://openalex.org/W3167655307","https://openalex.org/W3170720259","https://openalex.org/W3174071903","https://openalex.org/W3175370657","https://openalex.org/W3202650012","https://openalex.org/W4212774754","https://openalex.org/W4244364296","https://openalex.org/W4288616731","https://openalex.org/W4297971002","https://openalex.org/W6745097924","https://openalex.org/W6766673545","https://openalex.org/W6775041699"],"related_works":["https://openalex.org/W2736422900","https://openalex.org/W4389520449","https://openalex.org/W3106503262","https://openalex.org/W4221162679","https://openalex.org/W4413890170","https://openalex.org/W4221148264","https://openalex.org/W2952989203","https://openalex.org/W3153617151","https://openalex.org/W7116116709","https://openalex.org/W7099253926"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"many":[2],"NLP":[3],"applications,":[4],"to":[5,17,37,43,59],"mitigate":[6],"data":[7,14],"deficiency":[8],"in":[9,84],"a":[10,29,103],"target":[11,20,39,50,62,86,92],"task,":[12],"source":[13,32,46,57,78,113,123],"is":[15],"collected":[16],"help":[18],"with":[19],"model":[21],"training.":[22],"Existing":[23],"transfer":[24],"learning":[25],"methods":[26,65],"either":[27,66],"select":[28],"subset":[30],"of":[31,98,146],"examples":[33,47,58,79,124,133],"that":[34,75],"are":[35,81],"close":[36],"the":[38,49,61,73,85,91,96,144],"domain":[40,87],"or":[41,55,71],"try":[42],"adapt":[44],"all":[45],"into":[48],"domain,":[51],"then":[52],"use":[53],"selected":[54],"adapted":[56],"train":[60],"model.":[63],"These":[64],"incur":[67],"significant":[68],"information":[69],"loss":[70],"bear":[72],"risk":[74],"after":[76],"adaptation,":[77],"which":[80,108],"originally":[82],"already":[83],"may":[88],"be":[89],"outside":[90],"domain.":[93],"To":[94],"address":[95],"limitations":[97],"these":[99],"methods,":[100],"we":[101],"propose":[102],"four-level":[104],"optimization":[105],"based":[106],"framework":[107],"simultaneously":[109],"selects":[110],"and":[111,121,125,134],"adapts":[112],"data.":[114],"Our":[115],"method":[116],"can":[117],"automatically":[118],"identify":[119],"in-domain":[120,132],"out-of-domain":[122,137],"apply":[126],"example-specific":[127],"processing":[128],"methods:":[129],"selection":[130],"for":[131,136],"adaptation":[135],"examples.":[138],"Experiments":[139],"on":[140],"various":[141],"datasets":[142],"demonstrate":[143],"effectiveness":[145],"our":[147],"proposed":[148],"method.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-05-07T00:00:00"}