{"id":"https://openalex.org/W4401863956","doi":"https://doi.org/10.1145/3637528.3671754","title":"CoMAL: Contrastive Active Learning for Multi-Label Text Classification","display_name":"CoMAL: Contrastive Active Learning for Multi-Label Text Classification","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863956","doi":"https://doi.org/10.1145/3637528.3671754"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671754","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5044023868","display_name":"Peng Cheng","orcid":"https://orcid.org/0000-0002-7006-1728"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Peng","raw_affiliation_strings":["State Key Lab of Blockchain and Data Security, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Blockchain and Data Security, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049707744","display_name":"Haobo Wang","orcid":"https://orcid.org/0000-0001-8586-3048"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haobo Wang","raw_affiliation_strings":["School of Software Technology, Zhejiang University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University, Ningbo, China","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451997","display_name":"Ke Chen","orcid":"https://orcid.org/0000-0002-3062-0900"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Chen","raw_affiliation_strings":["State Key Lab of Blockchain and Data Security, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Blockchain and Data Security, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103017455","display_name":"Lidan Shou","orcid":"https://orcid.org/0000-0001-8062-8356"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lidan Shou","raw_affiliation_strings":["State Key Lab of Blockchain and Data Security, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Blockchain and Data Security, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056066639","display_name":"Chang Yao","orcid":"https://orcid.org/0000-0002-1187-6257"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Yao","raw_affiliation_strings":["School of Software Technology, Zhejiang University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University, Ningbo, China","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069512988","display_name":"Runze Wu","orcid":"https://orcid.org/0000-0002-6986-5825"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runze Wu","raw_affiliation_strings":["Fuxi AI Lab, NetEase Corp., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Fuxi AI Lab, NetEase Corp., Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389286","display_name":"Gang Chen","orcid":"https://orcid.org/0000-0002-7483-0045"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Chen","raw_affiliation_strings":["State Key Lab of Blockchain and Data Security, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Blockchain and Data Security, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5044023868"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.7252,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75596058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2364","last_page":"2375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9977999925613403,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9977999925613403,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9975000023841858,"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":0.9652000069618225,"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":0.7668431401252747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5887187123298645},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5304291248321533},{"id":"https://openalex.org/keywords/contrastive-analysis","display_name":"Contrastive analysis","score":0.41010597348213196},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2204177975654602}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7668431401252747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5887187123298645},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5304291248321533},{"id":"https://openalex.org/C2777629044","wikidata":"https://www.wikidata.org/wiki/Q614959","display_name":"Contrastive analysis","level":2,"score":0.41010597348213196},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2204177975654602},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671754","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2042932437","https://openalex.org/W2044200706","https://openalex.org/W2119466907","https://openalex.org/W2135733005","https://openalex.org/W2169863116","https://openalex.org/W2296229202","https://openalex.org/W2362855512","https://openalex.org/W2568998735","https://openalex.org/W2767245172","https://openalex.org/W2788125153","https://openalex.org/W2808279896","https://openalex.org/W2906963924","https://openalex.org/W2979826702","https://openalex.org/W2997087088","https://openalex.org/W3035402405","https://openalex.org/W3037422790","https://openalex.org/W3099452997","https://openalex.org/W3122412340","https://openalex.org/W3205626500","https://openalex.org/W4385570674","https://openalex.org/W6782595193"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Multi-label":[0,84],"text":[1,7],"classification":[2],"(MLTC)":[3],"allows":[4],"a":[5,38,67,82,97,119],"given":[6],"to":[8,52,65,103,148],"be":[9],"associated":[10],"with":[11],"multiple":[12,110],"labels,":[13],"which":[14],"well":[15],"suits":[16],"many":[17],"real-world":[18],"data":[19,93,125,137],"mining":[20],"scenarios.":[21],"However,":[22],"the":[23,54,72,106,113,134,144,150,160],"annotation":[24],"effort":[25],"of":[26,57,109,136],"MLTC":[27],"is":[28,101,170],"inevitably":[29],"expensive":[30],"and":[31],"time-consuming.":[32],"Although":[33],"multi-label":[34,163],"active":[35,164],"learning":[36,165],"provides":[37],"cost-effective":[39],"solution,":[40],"it":[41],"still":[42],"faces":[43],"two":[44,124],"major":[45],"challenges:":[46],"(i)":[47,128],"constructing":[48],"decent":[49],"feature":[50,141],"space":[51],"distinguish":[53],"confusing":[55],"semantics":[56],"different":[58],"labels;":[59],"(ii)":[60,139],"defining":[61],"proper":[62],"sampling":[63],"criteria":[64],"measure":[66],"sample's":[68],"joint":[69],"effect":[70],"over":[71],"entire":[73],"label":[74,130,151],"space.":[75,115],"To":[76],"bridge":[77],"these":[78],"gaps,":[79],"we":[80,117],"propose":[81],"Contrastive":[83],"Active":[85],"Learning":[86],"framework":[87],"(CoMAL)":[88],"that":[89,122,156],"gives":[90],"an":[91],"effective":[92],"acquisition":[94],"strategy.":[95],"Specifically,":[96],"contrastive":[98],"decoupling":[99],"mechanism":[100],"introduced":[102],"fully":[104],"release":[105],"semantic":[107,146],"information":[108],"labels":[111],"into":[112],"latent":[114],"Then,":[116],"devise":[118],"hybrid":[120],"criterion":[121],"balances":[123],"value":[126],"measures:":[127],"similarity-enhanced":[129],"cardinality":[131],"inconsistency":[132],"reflects":[133],"uncertainty":[135],"predictions.":[138],"positive":[140],"diversity":[142,147],"evaluates":[143],"positive-propensity":[145],"handle":[149],"sparsity.":[152],"Extensive":[153],"experiments":[154],"demonstrate":[155],"our":[157],"CoMAL":[158,169],"outperforms":[159],"current":[161],"state-of-the-art":[162],"approaches.":[166],"Code":[167],"for":[168],"available":[171],"at":[172],"https://github.com/chengzju/CoMAL.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
