{"id":"https://openalex.org/W4406458751","doi":"https://doi.org/10.1109/bigdata62323.2024.10826003","title":"OL4TeX: Adaptive Online Learning for Text Classification under Distribution Shifts","display_name":"OL4TeX: Adaptive Online Learning for Text Classification under Distribution Shifts","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458751","doi":"https://doi.org/10.1109/bigdata62323.2024.10826003"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10826003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10826003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065254047","display_name":"Min-Seon Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Min-Seon Kim","raw_affiliation_strings":["Seoul National University of Science and Technology,Graduate School of Data Science,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Graduate School of Data Science,Seoul,Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101529634","display_name":"Ling Liu","orcid":"https://orcid.org/0000-0003-0927-6372"},"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":"Ling Liu","raw_affiliation_strings":["Georgia Institute of Technology,College of Computing,Atlanta,GA,USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,College of Computing,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057012645","display_name":"Hyuk-Yoon Kwon","orcid":"https://orcid.org/0000-0002-1125-6533"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Yoon Kwon","raw_affiliation_strings":["Seoul National University of Science and Technology,Graduate School of Data Science,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Graduate School of Data Science,Seoul,Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065254047"],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":null,"apc_paid":null,"fwci":0.7252,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78314801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1340","last_page":"1345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T11122","display_name":"Online Learning and Analytics","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9715999960899353,"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":0.6805679202079773},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.49816131591796875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4940796196460724},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37837788462638855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3287726640701294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1599861979484558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6805679202079773},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.49816131591796875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4940796196460724},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37837788462638855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3287726640701294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1599861979484558},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10826003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10826003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1525647652","https://openalex.org/W2099419573","https://openalex.org/W2524910163","https://openalex.org/W2626498001","https://openalex.org/W2808190017","https://openalex.org/W2914789242","https://openalex.org/W2946396904","https://openalex.org/W2949573100","https://openalex.org/W3090249280","https://openalex.org/W3109873991","https://openalex.org/W3153269634","https://openalex.org/W4226266852","https://openalex.org/W4310727185","https://openalex.org/W4311011809","https://openalex.org/W4320024173","https://openalex.org/W4365799947","https://openalex.org/W4399452441","https://openalex.org/W4400070555","https://openalex.org/W6681723013","https://openalex.org/W6752453260","https://openalex.org/W6796581206","https://openalex.org/W6846500109","https://openalex.org/W6868641788"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"an":[3],"adaptive":[4],"online":[5,54,97,119],"learning":[6,61,92],"method":[7,110],"for":[8,96],"text":[9,20,98,105,120],"classification":[10,21,121],"under":[11],"distribution":[12,46,67],"shifts.":[13],"We":[14],"formulate":[15],"a":[16],"typical":[17],"neural":[18],"network-based":[19],"model":[22,87],"as":[23],"multiple":[24],"logical":[25],"modules.":[26],"By":[27],"leveraging":[28],"the":[29,32,42,50,74,81,86,89,112],"characteristics":[30],"of":[31,44,76,91],"modules,":[33],"we":[34,56],"introduce":[35],"three":[36],"novel":[37],"indicators":[38],"to":[39,84,88],"effectively":[40],"measure":[41],"degree":[43],"dynamic":[45],"shifts":[47,68],"without":[48],"evaluating":[49],"model.":[51],"To":[52,73],"enhance":[53],"learning,":[55],"tactically":[57],"trade":[58],"off":[59],"between":[60],"efficiency":[62,93],"and":[63,117,125],"accuracy":[64,95],"based":[65],"on":[66,102],"measured":[69],"in":[70],"real":[71],"time.":[72],"best":[75,113],"our":[77,109],"knowledge,":[78],"this":[79],"is":[80],"first":[82],"effort":[83],"adapt":[85],"preference":[90],"or":[94],"classification.":[99],"Extensive":[100],"experiments":[101],"real-world":[103],"streaming":[104],"datasets":[106],"show":[107],"that":[108],"outperforms":[111],"static":[114],"update":[115],"strategy":[116],"state-of-the-art":[118],"models.":[122],"Our":[123],"code":[124],"data":[126],"are":[127],"available":[128],"at":[129],"https://github.com/bigbases/online-learning-text.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
